source: doc/genius.bib

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Updated user doc on Preference Uncertainty and with references

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1@article {Genius,
2 title = {Genius: An Integrated Environment for Supporting the Design of Generic Automated Negotiators},
3 journal = {Computational Intelligence},
4 year = {2012},
5 publisher = {Blackwell Publishing Inc},
6 abstract = {The design of automated negotiators has been the focus of abundant research in recent years. However, due to difficulties involved in creating generalized agents that can negotiate in several domains and against human counterparts, many automated negotiators are domain specific and their behavior cannot be generalized for other domains. Some of these difficulties arise from the differences inherent within the domains, the need to understand and learn negotiators{\textquoteright} diverse preferences concerning issues of the domain, and the different strategies negotiators can undertake. In this paper we present a system that enables alleviation of the difficulties in the design process of general automated negotiators termed Genius, a General Environment for Negotiation with Intelligent multi-purpose Usage Simulation. With the constant introduction of new domains, e-commerce and other applications, which require automated negotiations, generic automated negotiators encompass many benefits and advantages over agents that are designed for a specific domain. Based on experiments conducted with automated agents designed by human subjects using Genius we provide both quantitative and qualitative results to illustrate its efficacy. Finally, we also analyze a recent automated bilateral negotiators competition that was based on Genius. Our results show the advantages and underlying benefits of using Genius and how it can facilitate the design of general automated negotiators.},
7 issn = {1467-8640},
8 doi = {10.1111/j.1467-8640.2012.00463.x},
9 url = {http://dx.doi.org/10.1111/j.1467-8640.2012.00463.x},
10 attachments = {http://mmi.tudelft.nl/sites/default/files/genius_0.pdf},
11 author = {Raz Lin and Sarit Kraus and Tim Baarslag and Dmytro Tykhonov and Koen V. Hindriks and Catholijn M. Jonker}
12}
13
14@article {MultilateralOffersProtocols,
15 title = {Alternating Offers Protocols for Multilateral Negotiation},
16 journal = {Modern Approaches to Agent-based Complex Automated Negotiation},
17 year = {2014},
18 publisher = {Springer},
19 abstract = {This paper presents a general framework for multilateral turn-taking protocols and two fully specified protocols namely Stacked Alternating Offers Protocol (SAOP) and Alternating Multiple Offers Protocol (AMOP). In SAOP, agents can make a bid, accept the most recent bid or walk way (i.e., end the negotiation without an agreement) when it is their turn. AMOP has two different phases: bidding and voting. The agents make their bid in the bidding phase and vote the underlying bids in the voting phase. Unlike SAOP, AMOP does not support walking away option. In both protocols, negotiation ends when the negotiating agents reach a joint agreement or some deadline criterion applies. The protocols have been evaluated empirically, showing that SAOP outper- forms AMOP with the same type of conceder agents in a time-based deadline setting. SAOP was used in the ANAC 2015 competition for automated negotiating agents.},
20 issn = {978-3-319-30307-9},
21 author = {Reyhan Aydogan and David Festen and Koen V. Hindriks and Catholijn M. Jonker}
22}
23
24@incollection{MultiMediatedNegoProtocolsWithFeedback,
25 author = {Reyhan Aydogan and Koen V. Hindriks and Catholijn M. Jonker},
26 title = {Multilateral Mediated Negotiation Protocols with Feedback},
27 editor = "I. Marsa-Maestre and M. A. Lopez-Carmona and T. Ito and M. Zhang and Q. Bai and K. Fujita",
28 booktitle = "Novel Insights in Agent based Complex Automated Negotiation, Chapter: Multilateral Mediated Negotiation Protocols with Feedback",
29 publisher = "Springer",
30 year = 2014,
31 pages = {43-59},
32 chapter = 3,
33}
34
35% Encoding: UTF-8
36
37@InProceedings{Tsi18,
38 title = {Automated Negotiations under User Preference Uncertainty: A Linear Programming Approach},
39 author = {Tsimpoukis, Dimitrios and Baarslag, Tim and Kaisers, Michael and Paterakis, Nikolaos},
40 booktitle = {Proceedings of Agreement Technologies},
41 year = 2018,
42 month = Jan,
43 url = {https://ir.cwi.nl/pub/28326/2018_AT_Tsimpoukis.pdf}
44}
45
46@inproceedings{Diplomacy20172018,
47 title={The Challenge of Negotiation in the Game of Diplomacy},
48 author={Dave de Jonge and Tim Baarslag and Reyhan Aydo{\u{g}}an and Catholijn Jonker and Katsuhide Fujita and Takayuki Ito},
49 booktitle={The 6th International Conference on Agreement Technologies (AT2018)},
50 year={2018},
51 url={https://docs.wixstatic.com/ugd/38cae9_0c5b5c80a34346eab844c3bd70555af5.pdf}
52}
53
54@article{Zaf19,
55title = "Modelling and analysis of temporal preference drifts using a component-based factorised latent approach",
56journal = "Expert Systems with Applications",
57volume = "116",
58pages = "186 - 208",
59year = "2019",
60issn = "0957-4174",
61doi = "https://doi.org/10.1016/j.eswa.2018.09.010",
62url = "http://www.sciencedirect.com/science/article/pii/S0957417418305815",
63author = "Farhad Zafari and Irene Moser and Tim Baarslag",
64keywords = "Latent factor models, Bias, Feature preferences, Feature value preferences, Temporal dynamics, Preference drift",
65abstract = "In recommender systems, human preferences are identified by a number of individual components with complicated interactions and properties. Recently, the dynamicity of preferences has been the focus of several studies. The changes in user preferences can originate from substantial reasons, like personality shift, or transient and circumstantial ones, like seasonal changes in item popularities. Disregarding these temporal drifts in modelling user preferences can result in unhelpful recommendations. Moreover, different temporal patterns can be associated with various preference domains, and preference components and their combinations. These components comprise preferences over features, preferences over feature values, conditional dependencies between features, socially-influenced preferences, and bias. For example, in the movies domain, the user can change his rating behaviour (bias shift), her preference for genre over language (feature preference shift), or start favouring drama over comedy (feature value preference shift). In this paper, we first propose a novel latent factor model to capture the domain-dependent component-specific temporal patterns in preferences. The component-based approach followed in modelling the aspects of preferences and their temporal effects enables us to arbitrarily switch components on and off. We evaluate the proposed method on three popular recommendation datasets and show that it significantly outperforms the most accurate state-of-the-art static models. The experiments also demonstrate the greater robustness and stability of the proposed dynamic model in comparison with the most successful models to date. We also analyse the temporal behaviour of different preference components and their combinations and show that the dynamic behaviour of preference components is highly dependent on the preference dataset and domain. Therefore, the results also highlight the importance of modelling temporal effects but also underline the advantages of a component-based architecture that is better suited to capture domain-specific balances in the contributions of the aspects.",
66pdf = "pub/Modelling_and_Analysis_of_Temporal_Preference_Drifts_Using_a_Component-based_Factorised_Latent_Approach.pdf"
67}
68
69@inproceedings{ANAC2017,
70 title={{ANAC} 2017: Repeated Multilateral Negotiation League},
71 author={Reyhan Aydo{\u{g}}an and Katsuhide Fujita and Tim Baarlag and Catholijn M. Jonker and Takayuki Ito},
72 booktitle={The 11th International Workshop on Automated Negotiation, ACAN 2018},
73 year={2018},
74}
75
76@inproceedings{IAGO2017,
77 author = {Mell, Johnathan and Gratch, Jonathan and Baarslag, Tim and Aydo\u{g}an, Reyhan and Jonker, Catholijn M.},
78 title = {Results of the First Annual Human-Agent League of the Automated Negotiating Agents Competition},
79 booktitle = {Proceedings of the 18th International Conference on Intelligent Virtual Agents},
80 series = {IVA '18},
81 year = {2018},
82 isbn = {978-1-4503-6013-5},
83 location = {Sydney, NSW, Australia},
84 pages = {23--28},
85 numpages = {6},
86 url = {http://doi.acm.org/10.1145/3267851.3267907},
87 doi = {10.1145/3267851.3267907},
88 acmid = {3267907},
89 publisher = {ACM},
90 address = {New York, NY, USA},
91 keywords = {Human-Agent Negotiation, IAGO Negotiation Platform},
92 pdf = {pub/Results_of_the_First_Annual_Human-Agent_League_of_the_Automated_Negotiating_Agents_Competition.pdf}
93}
94
95@INPROCEEDINGS{Cha18,
96title={Energy Contract Settlements through Automated Negotiation in Residential Cooperatives},
97author={Shantanu Chakraborty and Tim Baarslag and Michael Kaisers},
98booktitle={2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)},
99 organization={IEEE},
100year={2018},
101pages={1-6},
102abstract={This paper presents an automated peer-to-peer (P2P) negotiation strategy for settling energy contracts among prosumers in a Residential Energy Cooperative (REC) considering heterogeneous prosumer preferences. The heterogeneity arises from prosumers' evaluation of energy contracts through multiple societal and environmental criteria and the prosumers' private preferences over those criteria. The prosumers engage in bilateral negotiations with peers to mutually agree on periodical energy contracts/loans that consist of an energy volume to be exchanged at that period and the return time of the exchanged energy. The prosumers keep an ordered preference profile of possible energy contracts by evaluating the contracts from their own valuations on the entailed criteria, and iteratively offer the peers contracts until an agreement is formed. A prosumer embeds the valuations into a utility function that further considers uncertainties imposed by demand and generation profiles. Empirical evaluation on real demand, generation and storage profiles illustrates that the proposed negotiation based strategy is able to increase the system efficiency (measured by utilitarian social welfare) and fairness (measured by Nash social welfare) over a baseline strategy and an individual flexibility control strategy. We thus elicit system benefits from P2P flexibility exchange already with few agents and without central coordination, providing a simple yet flexible and effective paradigm that may complement existing markets.},
103keywords={Contracts;Batteries;Smart grids;Uncertainty;Peer-to-peer computing;Energy exchange;Protocols},
104 url = {https://arxiv.org/abs/1807.10978},
105doi={10.1109/SmartGridComm.2018.8587537},
106month={Oct},
107 pdf = {pub/Energy_Contract_Settlements_through_Automated_Negotiation_in_Residential_Cooperatives.pdf}
108}
109
110@InProceedings{Pap18,
111 author = {Iliana Pappi and Tim Baarslag and Michael Kaisers and Nikolaos G. Paterakis},
112 title = {An Uncertainty-Aware Online Planning Algorithm for the Sustainable Electrification of Festivals},
113 booktitle = {International Conference on Smart Energy Systems and Technologies (SEST 2018)},
114 year = {2018},
115 pages={1-6},
116 abstract = {Energy efficient festival electrification can be viewed as a middle-consumption problem, standing between smart household applications and larger commercial consumers. The optimal deployment of different resources, such as local renewable energy production (RES), diesel generators (DG) and energy storage systems (ESS) may bring about significant financial gain for the organizer, and is usually framed as an off-grid or limited grid-connection problem. This makes online planning particularly challenging due to the uncertainty related to the RES production, constraints regarding the operation of the diesel generators and limitations of the grid connection. In this paper a new online planning algorithm based on two-stage stochastic programming is proposed in order to address the aforementioned challenges and provide minimal-cost, uninterrupted, and sustainable electrification of festivals under dynamically priced grid energy. Data based on real festival events are used in order to illustrate the effectiveness of the proposed methodology.},
117 doi={10.1109/SEST.2018.8495825},
118 keywords = {energy storage, festival electrification, online planning, renewable energy, stochastic programming},
119 url = {https://homepages.cwi.nl/~baarslag/pub/An_Uncertainty-Aware_Online_Planning_Algorithm_for_the_Sustainable_Electrification_of_Festivals.pdf},
120 pdf = {pub/An_Uncertainty-Aware_Online_Planning_Algorithm_for_the_Sustainable_Electrification_of_Festivals.pdf},
121}
122
123@Article{BaarslagERCIM,
124 author = {Tim Baarslag},
125 title = {Computers that negotiate on our behalf},
126 journal = {ERCIM News},
127 year = {2018},
128 number = {112},
129 pages = {36--37},
130 month = {January},
131 editors = {Jop Bri\"{e}t and Simon Perdrix},
132 abstract = {Computers that negotiate on behalf of humans hold great promise for the future and will even become indispensable in emerging application domains such as the smart grid, autonomous driving, and the Internet of Things. An important obstacle is that in many real-life settings, it is impossible to elicit all information necessary to be sensitive to the individual needs and requirements of users. This makes it a lot more challenging for the computer to decide on the right negotiation strategy; however, new methods are being created at CWI that make considerable progress towards solving this problem.},
133 pdf = {pub/Computers_That_Negotiate_On_Our_Behalf.pdf},
134}
135
136@article{BaarslagWired,
137title = {How would a machine conduct our salary negotiations?},
138journal = {Wired},
139year = {2017},
140publisher={Wired Germany},
141url = {https://www.wired.de/collection/tech/ki-ai-kuenstliche-intelligenz-artificial-intelligence-handel}
142}
143
144@article{BaarslagScience,
145title = {How artificial intelligence could negotiate better deals for humans},
146journal = {Science},
147year = {2017},
148publisher={American Association for the Advancement of Science},
149doi = {10.1126/science.aap9309},
150url = {http://www.sciencemag.org/news/2017/09/how-artificial-intelligence-could-negotiate-better-deals-humans}
151}
152
153@Inbook{BaarslagChallengesVisionary,
154 author = {Tim Baarslag and Michael Kaisers and Enrico H. Gerding and Catholijn M. Jonker and Jonathan Gratch},
155 title = {Computers That Negotiate on Our Behalf: Major Challenges for Self-sufficient, Self-directed, and Interdependent Negotiating Agents},
156 booktitle = {Autonomous Agents and Multiagent Systems: AAMAS 2017 Workshops, Visionary Papers, S{\~a}o Paulo, Brazil, May 8-12, 2017, Revised Selected Papers},
157 year = {2017},
158 publisher = {Springer International Publishing},
159 address = {Cham},
160 pages = {143--163},
161 volume = {10643},
162 series = {Lecture Notes in Computer Science},
163 editor = {Gita Sukthankar and Juan A. Rodr\'{i}guez-Aguilar},
164 isbn = {978-3-319-71679-4},
165 doi = {10.1007/978-3-319-71679-4_10},
166 url = {https://doi.org/10.1007/978-3-319-71679-4_10},
167 abstract = {Computers that negotiate on our behalf hold great promise for the future and will even become indispensable in emerging application domains such as the smart grid, autonomous driving, and the Internet of Things. Much research has thus been expended to create agents that are able to negotiate in an abundance of circumstances. However, up until now, truly autonomous negotiators have rarely been deployed in real-world applications. This paper sizes up current negotiating agents and explores a number of technological, societal and ethical challenges that autonomous negotiation systems are bringing about. The questions we address are: in what sense are these systems autonomous, what has been holding back their further proliferation, and is their spread something we should encourage? We relate the automated negotiation research agenda to dimensions of autonomy and distill three major themes that we believe will propel autonomous negotiation forward: accurate representation, long-term perspective, and user trust. We argue these orthogonal research directions need to be aligned and advanced in unison to sustain tangible progress in the field.},
168 pdf = {pub/Computers_That_Negotiate_on_Our_Behalf_Major_Challenges_for_Self-sufficient_Self-directed_and_Interdependent_Negotiating_Agents.pdf}
169}
170
171@InProceedings{BaarslagChallenges,
172 author = {Tim Baarslag and Michael Kaisers and Enrico H. Gerding and Catholijn M. Jonker and Jonathan Gratch},
173 title = {When will negotiation agents be able to represent us? {T}he challenges and opportunities for autonomous negotiators},
174 booktitle = {Proceedings of the Twenty-sixth International Joint Conference on Artificial Intelligence},
175 year = {2017},
176 series = {IJCAI'17},
177 abstract = {Computers that negotiate on our behalf hold great promise for the future and will even become indispensable in emerging application domains such as the smart grid and the Internet of Things. Much research has thus been expended to create agents that are able to negotiate in an abundance of circumstances. However, up until now, truly autonomous negotiators have rarely been deployed in real-world applications. This paper sizes up current negotiating agents and explores a number of technological, societal and ethical challenges that autonomous negotiation systems have brought about. The questions we address are: in what sense are these systems autonomous, what has been holding back their further proliferation, and is their spread something we should encourage? We relate the automated negotiation research agenda to dimensions of autonomy and distill three major themes that we believe will propel autonomous negotiation forward: accurate representation, long-term perspective, and user trust. We argue these orthogonal research directions need to be aligned and advanced in unison to sustain tangible progress in the field.},
178 location = {Melbourne, Australia},
179 pages = {4684--4690},
180 numpages = {7},
181 doi = {10.24963/ijcai.2017/653},
182 url = {https://doi.org/10.24963/ijcai.2017/653},
183 pdf = {pub/When_Will_Negotiation_Agents_Be_Able_to_Represent_Us-The_Challenges_and_Opportunities_for_Autonomous_Negotiators.pdf},
184}
185
186@InBook{PocketNegotiatorEUMAS,
187 pages = {13--27},
188 title = {An Introduction to the Pocket Negotiator: A General Purpose Negotiation Support System},
189 publisher = {Springer International Publishing},
190 year = {2017},
191 author = {Jonker, Catholijn M. and Aydo{\u{g}}an, Reyhan and Baarslag, Tim and Broekens, Joost and Detweiler, Christian A. and Hindriks, Koen V. and Huldtgren, Alina and Pasman, Wouter},
192 editor = {Criado Pacheco, Natalia and Carrascosa, Carlos and Osman, Nardine and Juli{\'a}n Inglada, Vicente},
193 volume = {10207},
194 address = {Cham},
195 abstract = {The Pocket Negotiator (PN) is a negotiation support system developed at TU Delft as a tool for supporting people in bilateral negotiations over multi-issue negotiation problems in arbitrary domains. Users are supported in setting their preferences, estimating those of their opponent, during the bidding phase and sealing the deal. We describe the overall architecture, the essentials of the underlying techniques, the form that support takes during the negotiation phases, and we share evidence of the effectiveness of the Pocket Negotiator.},
196 booktitle = {Multi-Agent Systems and Agreement Technologies: 14th European Conference, EUMAS 2016, and 4th International Conference, AT 2016, Valencia, Spain, December 15-16, 2016, Revised Selected Papers},
197 doi = {10.1007/978-3-319-59294-7_2},
198 isbn = {978-3-319-59294-7},
199 pdf = {pub/An_Introduction_to_the_Pocket_Negotiator-A_General_Purpose_Negotiation_Support_System.pdf},
200 url = {http://dx.doi.org/10.1007/978-3-319-59294-7_2},
201}
202
203@book{COREDEMA2016,
204editor="Aydo{\u{g}}an, Reyhan
205and Baarslag, Tim
206and Gerding, Enrico
207and Jonker, Catholijn M.
208and Julian, Vicente
209and Sanchez-Anguix, Victor",
210bookTitle="Conflict Resolution in Decision Making",
211subtitle = "Second International Workshop, COREDEMA 2016, The Hague, The Netherlands, August 29-30, 2016",
212series = "Lecture Notes in Artificial Intelligence",
213volume = "10238",
214edition = "1",
215year="2017",
216publisher="Springer International Publishing",
217address="Cham",
218isbn="978-3-319-57285-7",
219doi="10.1007/978-3-319-57285-7",
220url="http://link.springer.com/content/pdf/10.1007/978-3-319-57285-7.pdf",
221numpages = {149}
222}
223
224@Article{TeamParetoKAIS,
225author="Sanchez-Anguix, Victor
226and Aydo{\u{g}}an, Reyhan
227and Baarslag, Tim
228and Jonker, Catholijn",
229title="Bottom-up approaches to achieve Pareto optimal agreements in group decision making",
230journal="Knowledge and Information Systems",
231year="2019",
232month="Jan",
233day="08",
234abstract="In this article, we introduce a new paradigm to achieve Pareto optimality in group decision-making processes: bottom-up approaches to Pareto optimality. It is based on the idea that, while resolving a conflict in a group, individuals may trust some members more than others; thus, they may be willing to cooperate and share more information with those members. Therefore, one can divide the group into subgroups where more cooperative mechanisms can be formed to reach Pareto optimal outcomes. This is the first work that studies such use of a bottom-up approach to achieve Pareto optimality in conflict resolution in groups. First, we prove that an outcome that is Pareto optimal for subgroups is also Pareto optimal for the group as a whole. Then, we empirically analyze the appropriate conditions and achievable performance when applying bottom-up approaches under a wide variety of scenarios based on real-life datasets. The results show that bottom-up approaches are a viable mechanism to achieve Pareto optimality with applications to group decision-making, negotiation teams, and decision making in open environments.",
235issn="0219-3116",
236doi="10.1007/s10115-018-01325-y",
237url="https://doi.org/10.1007/s10115-018-01325-y"
238}
239
240
241
242@Inbook{TeamParetoCOREDEMA2016,
243author="Sanchez-Anguix, Victor
244and Aydo{\u{g}}an, Reyhan
245and Baarslag, Tim
246and Jonker, Catholijn M.",
247editor="Aydo{\u{g}}an, Reyhan
248and Baarslag, Tim
249and Gerding, Enrico
250and Jonker, Catholijn M.
251and Julian, Vicente
252and Sanchez-Anguix, Victor",
253title="Can We Reach Pareto Optimal Outcomes Using Bottom-Up Approaches?",
254bookTitle="Conflict Resolution in Decision Making: Second International Workshop, COREDEMA 2016, The Hague, The Netherlands, August 29-30, 2016, Revised Selected Papers",
255year="2017",
256month={Apr},
257publisher="Springer International Publishing",
258address="Cham",
259pages="19--35",
260isbn="978-3-319-57285-7",
261doi="10.1007/978-3-319-57285-7\_2",
262url="https://link.springer.com/content/pdf/10.1007/978-3-319-57285-7\_2.pdf",
263abstract = {Classically, disciplines like negotiation and decision making have focused on reaching Pareto optimal solutions due to its stability and efficiency properties. Despite the fact that many practical and theoretical algorithms have successfully attempted to provide Pareto optimal solutions, they have focused on attempting to reach Pareto Optimality using horizontal approaches, where optimality is calculated taking into account every participant at the same time. Sometimes, this may prove to be a difficult task (e.g., conflict, mistrust, no information sharing, etc.). In this paper, we explore the possibility of achieving Pareto Optimal outcomes in a group by using a bottom-up approach: discovering Pareto optimal outcomes by interacting in subgroups. We analytically show that the set of Pareto optimal outcomes in a group covers the Pareto optimal outcomes within its subgroups. This theoretical finding can be applied in a variety of scenarios such as negotiation teams, multi-party negotiation, and team formation to social recommendation. Additionally, we empirically test the validity and practicality of this proof in a variety of decision making domains and analyze the usability of this proof in practical situations.},
264keywords = {Pareto optimality, Agreement technologies, Group decision making, Multi-agent systems, Artificial intelligence},
265pdf = {pub/Can_We_Reach_Pareto_Optimal_Outcomes_Using_Bottom-up_approaches.pdf}
266}
267
268
269@INPROCEEDINGS{ANACAAAI,
270 title={Automated Negotiating Agents Competition {(ANAC)}},
271 author={Jonker, Catholijn M. and Aydo{\u{g}}an, Reyhan and Baarslag, Tim and Fujita, Katsuhide and Ito, Takayuki and Hindriks, Koen},
272 booktitle = {Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence and Twenty-Ninth Innovative Applications of Artificial Intelligence Conference},
273 url = {http://www.aaai.org/ocs/index.php/AAAI/AAAI17/paper/download/14745/14021},
274 abstract = {The annual International Automated Negotiating Agents Competition (ANAC) is used by the automated negotiation research community to benchmark and evaluate its work andto challenge itself. The benchmark problems and evaluation results and the protocols and strategies developed are available to the wider research community.},
275 keywords = {benchmark, competition, automated negotiation, protocol, profile},
276 pages = {5070-5072},
277 month = {Feb},
278 year={2017},
279 pdf={pub/Automated_Negotiating_Agents_Competition_ANAC.pdf}
280}
281
282@Article{HeidelbergLaureateForum,
283 author = {Begoli, Edmon and Schlegel, Vincent and Atiyah, Michael and Adeyemo, Praise and Baarslag, Tim},
284 title = {The {Heidelberg Laureate Forum} on the Moving Frontier Between Mathematics and Computer Science},
285 journal = {XRDS},
286 year = {2017},
287 volume = {23},
288 number = {3},
289 pages = {46-49},
290 month = apr,
291 abstract = {Young and early-career researchers at the 2016 Heidelberg Laureate Forum discuss how the frontier between mathematics and computer science is shifting, what the future promises, and the implications the frontier's shape and dynamics will have on both fields.},
292 acmid = {3055143},
293 address = {New York, NY, USA},
294 doi = {10.1145/3055143},
295 issn = {1528-4972},
296 issue_date = {Spring 2017},
297 numpages = {4},
298 pdf = {pub/The_Heidelberg_Laureate_Forum_on_the_Moving_Frontier_Between_Mathematics_and_Computer_Science.pdf},
299 publisher = {ACM},
300 url = {http://doi.acm.org/10.1145/3055143},
301}
302
303@incollection{ANAC2015,
304 title={The Sixth Automated Negotiating Agents Competition ({ANAC} 2015)},
305 author={Fujita, Katsuhide and Aydo{\u{g}}an, Reyhan and Baarslag, Tim and Hindriks, Koen and Ito, Takayuki and Jonker, Catholijn},
306 booktitle={Modern Approaches to Agent-based Complex Automated Negotiation},
307 abstract = {In May 2015, we organized the Sixth International Automated Negotiating Agents Competition (ANAC 2015) in conjunction with AAMAS 2015. ANAC is an international competition that challenges researchers to develop a successful automated negotiator for scenarios where there is incomplete information about the opponent. One of the goals of this competition is to help steer the research in the area of multi-issue negotiations, and to encourage the design of generic negotiating agents that are able to operate in a variety of scenarios. 24 teams from 9 different institutes competed in ANAC 2015. This chapter describes the participating agents and the setup of the tournament, including the different negotiation scenarios that were used in the competition. We report on the results of the qualifying and final round of the tournament.},
308 pages={139--151},
309 year={2017},
310 volume={674},
311 publisher={Springer},
312 isbn={978-3-319-51563-2},
313 issn={1860-949X},
314 doi={10.1007/978-3-319-51563-2\_9},
315 url={http://dx.doi.org/10.1007/978-3-319-51563-2\_9},
316 pdf={pub/The_Sixth_Automated_Negotiating_Agents_Competition_ANAC_2015.pdf}
317}
318
319@InProceedings{BaarslagNegotiationAgentForPermissionManagement,
320 author = {Baarslag, Tim and Alan, Alper T. and Gomer, Richard and Alam, Mudasser and Perera, Charith and Gerding, Enrico H. and Schraefel, M.C.},
321 title = {An Automated Negotiation Agent for Permission Management},
322 booktitle = {Proceedings of the 2017 International Conference on Autonomous Agents and Multi-agent Systems},
323 year = {2017},
324 series = {AAMAS '17},
325 location = {Sao Paulo, Brazil},
326 publisher = {International Foundation for Autonomous Agents and Multiagent Systems},
327 address = {Richland, SC},
328 abstract = {The digital economy is based on data sharing yet citizens have little control about how their personal data is being used. While data management during web and app-based use is already a challenge, as the Internet of Things (IoT) scales up, the number of devices accessing and requiring personal data will go beyond what a person can manually assess in terms of data access requests. Therefore, new approaches are needed for managing privacy preferences at scale and providing active consent around data sharing that can improve fidelity of operation in alignment with user intent. To address this challenge, we introduce a novel agent-based approach to negotiate the permission to exchange private data between users and services. Our agent negotiates based on learned preferences from actual users. To evaluate our agent-based approach, we developed an experimental tool to run on people's own smartphones, where users were asked to share their private, real data (e.g. photos, contacts, etc) under various conditions. The agent autonomously negotiates potential agreements for the user, which they can refine by manually continuing the negotiation. The agent learns from these interactions and updates the user model in subsequent interactions. We find that the agent is able to effectively capture the preferences and negotiate on the user's behalf but, surprisingly, does not reduce user engagement with the system. Understanding how interaction interplays with agent-based automation is a key component to successful deployment of negotiating agents in real-life settings and within the IoT context in particular.},
329 keywords = {Automated negotiation, Negotiation agent, Privacy, Permissions, Mobile apps, Negotiation cost, Partial offers, Preference learning},
330 pages = {380-390},
331 acmid = {3091184},
332 numpages = {11},
333 url = {http://dl.acm.org/citation.cfm?id=3091125.3091184},
334 pdf = {pub/An_Automated_Negotiation_Agent_for_Permission_Management.pdf},
335}
336
337@InProceedings{BaarslagValueOfInformation,
338 author = {Baarslag, Tim and Kaisers, Michael},
339 title = {The Value of Information in Automated Negotiation: A Decision Model for Eliciting User Preferences},
340 booktitle = {Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems},
341 year = {2017},
342 series = {AAMAS '17},
343 location = {Sao Paulo, Brazil},
344 publisher = {International Foundation for Autonomous Agents and Multiagent Systems},
345 address = {Richland, SC},
346 abstract = {Consider an agent that can autonomously negotiate and coordinate with others in our stead, to reach outcomes and agreements in our interest. Such automated negotiation agents are already common practice in areas such as high frequency trading, and are now finding applications in domains closer to home, which involve not only mere financial optimizations but balanced tradeoffs between multiple issues, such as cost and convenience. As a simple example, a smart thermostat controlling a heat pump could provide demand response to the electricity grid if the inconvenience is offset by the grid relieve incentives. In such situations, the agent represents a user with individual and a priori unknown preferences, which are costly to elicit due to the user bother this incurs. Therefore, the agent needs to strike a balance between increasing the user model accuracy and the inconvenience caused by interacting with the user. To do so, we require a tractable metric for the value of information in an ensuing negotiation, which until now has not been available. In this paper, we propose a decision model that finds the point of diminishing returns for improving the model of user preferences with costly queries. We present a reasoning framework to derive this metric, and show a myopically optimal and tractable stopping criterion for querying the user before a fixed number of negotiation rounds. Our method provides an extensible basis for interactive negotiation agents to evaluate which questions are worth posing given the marginal utility expected to arise from more accurate beliefs.},
347 keywords = {automated negotiation, negotiation agent, optimal query, preference elicitation, uncertain preferences, user preferences, value of information},
348 pages = {391-400},
349 numpages = {10},
350 url = {http://dl.acm.org/citation.cfm?id=3091125.3091185},
351 acmid = {3091185},
352 pdf = {pub/The_Value_of_Information_in_Automated_Negotiation_A_Decision_Model_for_Eliciting_User_Preferences.pdf},
353}
354
355
356@Article{BaarslagOMSurvey,
357 author = {Tim Baarslag and Mark J.C. Hendrikx and Koen V. Hindriks and Catholijn M. Jonker},
358 title = {Learning about the opponent in automated bilateral negotiation: a comprehensive survey of opponent modeling techniques},
359 journal = {Autonomous Agents and Multi-Agent Systems},
360 year = {2016},
361 volume = {30},
362 number = {5},
363 pages = {849--898},
364 abstract = {A negotiation between agents is typically an incomplete information game, where the agents initially do not know their opponent's preferences or strategy. This poses a challenge, as efficient and effective negotiation requires the bidding agent to take the other's wishes and future behavior into account when deciding on a proposal. Therefore, in order to reach better and earlier agreements, an agent can apply learning techniques to construct a model of the opponent. There is a mature body of research in negotiation that focuses on modeling the opponent, but there exists no recent survey of commonly used opponent modeling techniques. This work aims to advance and integrate knowledge of the field by providing a comprehensive survey of currently existing opponent models in a bilateral negotiation setting. We discuss all possible ways opponent modeling has been used to benefit agents so far, and we introduce a taxonomy of currently existing opponent models based on their underlying learning techniques. We also present techniques to measure the success of opponent models and provide guidelines for deciding on the appropriate performance measures for every opponent model type in our taxonomy.},
365 doi = {10.1007/s10458-015-9309-1},
366 file = {:Learning about the opponent in automated bilateral negotiation - a comprehensive survey of opponent modeling techniques.pdf:PDF},
367 issn = {1573-7454},
368 keywords = {Negotiation, Software agents, Opponent model, Learning techniques, Automated negotiation, Opponent modeling, Machine learning, Survey},
369 language = {English},
370 pdf = {pub/Learning_about_the_opponent_in_automated_bilateral_negotiation-a_comprehensive_survey_of_opponent_modeling_techniques.pdf},
371 publisher = {Springer US},
372 url = {http://dx.doi.org/10.1007/s10458-015-9309-1},
373 link = {http://rdcu.be/ofJ8}
374}
375
376@Article{Perera2016IoTDatabox,
377 author = {Perera, Charith and Wakenshaw, Susan Y. L. and Baarslag, Tim and Haddadi, Hamed and Bandara, Arosha K. and Mortier, Richard and Crabtree, Andy and Ng, Irene C. L. and McAuley, Derek and Crowcroft, Jon},
378 title = {Valorising the {IoT} Databox: creating value for everyone},
379 journal = {Transactions on Emerging Telecommunications Technologies},
380 year = {2017},
381 abstract = {The Internet of Things is expected to generate large amounts of heterogeneous data from diverse sources including physical sensors, user devices and social media platforms. Over the last few years, significant attention has been focused on personal data, particularly data generated by smart wearable and smart home devices. Making personal data available for access and trade is expected to become a part of the data-driven digital economy. In this position paper, we review the research challenges in building personal Databoxes that hold personal data and enable data access by other parties and potentially thus sharing of data with other parties. These Databoxes are expected to become a core part of future data marketplaces.},
382 doi = {10.1002/ett.3125},
383 issn = {2161-3915},
384 volume = {28},
385 number = {1},
386 pages = {1-17},
387 pdf = {pub/Valorising_the_IoT_Databox-Creating_Value_for_Everyone.pdf},
388 publisher = {John Wiley \& Sons, Ltd},
389 url = {http://dx.doi.org/10.1002/ett.3125},
390}
391
392@Book{BaarslagSpringerTheses,
393 title = {Exploring the Strategy Space of Negotiating Agents: A Framework for Bidding, Learning and Accepting in Automated Negotiation},
394 publisher = {Springer International Publishing},
395 year = {2016},
396 author = {Tim Baarslag},
397 series = {Springer Theses: Recognizing Outstanding Ph.D. Research},
398 abstract = {This book reports on an outstanding thesis that has significantly advanced the state-of-the-art in the area of automated negotiation. It gives new practical and theoretical insights into the design and evaluation of automated negotiators. It describes an innovative negotiating agent framework that enables systematic exploration of the space of possible negotiation strategies by recombining different agent components. Using this framework, new and effective ways are formulated for an agent to learn, bid, and accept during a negotiation. The findings have been evaluated in four annual instantiations of the International Automated Negotiating Agents Competition (ANAC), the results of which are also outlined here. The book also describes several methodologies for evaluating and comparing negotiation strategies and components, with a special emphasis on performance and accuracy measures.},
399 doi = {10.1007/978-3-319-28243-5},
400 isbn = {978-3-319-28242-8},
401 oclc = {985062026},
402 pdf = {http://dx.doi.org/10.1007/978-3-319-28243-5},
403 url = {http://dx.doi.org/10.1007/978-3-319-28243-5},
404}
405
406@InProceedings{TruongSchedulingApplianceUsage,
407 author = {Ngoc Cuong Truong and Tim Baarslag and Gopal Ramchurn and Long Tran-Thanh},
408 title = {Interactive scheduling of appliance usage in the home},
409 booktitle = {The 25th International Joint Conference on Artificial Intelligence},
410 year = {2016},
411 month = {June},
412 publisher = {AAAI Press},
413 abstract = {We address the problem of recommending an appliance usage schedule to the homeowner which balances between maximising total savings and maintaining sufficient user convenience. An important challenge within this problem is how to elicit the the user preferences with low intrusiveness, in order to identify new schedules with high cost savings, that still lies within the user's comfort zone. To tackle this problem we propose iDR, an interactive system for generating personalised appliance usage scheduling recommendations that maximise savings and convenience with minimal intrusiveness. In particular, our system learns when to stop interacting with the user during the preference elicitation process, in order to keep the bother cost (e.g., the amount of time the user spends, or the cognitive cost of interacting) minimal. We demonstrate through extensive empirical evaluation on real-world data that our approach improves savings by up to 35\%, while maintaining a significantly lower bother cost, compared to state-of the-art benchmarks.},
414 file = {:Interactive Scheduling of Appliance Usage in the Home.pdf:PDF},
415 pdf = {pub/Interactive_scheduling_of_appliance_usage_in_the_home.pdf},
416 url = {http://eprints.soton.ac.uk/396670/},
417}
418
419@InProceedings{ChenRobotSearch,
420 author = {Shaofei Chen and Tim Baarslag and Dengji Zhao and Jing Chen and Lincheng Shen},
421 title = {A polynomial time optimal algorithm for robot-human search under uncertainty},
422 booktitle = {Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence},
423 series = {IJCAI'16},
424 pages = {819-825},
425 numpages = {7},
426 isbn = {978-1-57735-770-4},
427 year = {2016},
428 acmid = {3060735},
429 month = {July},
430 publisher = {AAAI Press},
431 location = {New York, USA},
432 abstract = {This paper studies a search problem involving a robot that is searching for a certain item in an uncertain environment (e.g., searching minerals on the moon) that allows only limited interaction with humans. The uncertainty of the environment comes from the rewards of undiscovered items and the availability of costly human help. The goal of the robot is to maximize the reward of the items found while minimising the search costs. We show that this search problem is polynomially solvable with a novel integration of the human help, which has not been studied in the literature before. Furthermore, we empirically evaluate our solution with simulations and show that it significantly outperforms several benchmark approaches.},
433 file = {:A Polynomial Time Optimal Algorithm for Robot-Human Search under Uncertainty.pdf:PDF},
434 pdf = {pub/A_polynomial_time_optimal_algorithm_for_robot-human_search_under_uncertainty.pdf},
435 url = {http://dl.acm.org/citation.cfm?id=3060621.3060735},
436}
437
438@InProceedings{BaarslagNegotiationAsAnInteractionMechanism,
439 author = {Baarslag, Tim and Alan, Alper T. and Gomer, Richard C. and Liccardi, Ilaria and Marreiros, Helia and Gerding, Enrico H. and Schraefel, M.C.},
440 title = {Negotiation As an Interaction Mechanism for Deciding App Permissions},
441 booktitle = {Proceedings of the 2016 CHI Conference: Extended Abstracts on Human Factors in Computing Systems},
442 year = {2016},
443 series = {CHI EA '16},
444 pages = {2012--2019},
445 address = {New York, NY, USA},
446 publisher = {ACM},
447 abstract = {On the Android platform, apps make use of personal data as part of their business model, trading location, contacts, photos and more for app use. Few people are particularly aware of the permission settings or make changes to them. We hypothesize that both the difficulty in checking permission settings for all apps on a device, along with the lack of flexibility in deciding what happens to one's data, makes the perceived cost to protect one's privacy too high. In this paper, we present the preliminary results of a study that explores what happens when permission settings are more discretional at install time. We present the results of a pilot experiment, in which we ask users to negotiate which data they are happy to share, and we show that this results in higher user satisfaction than the typical take-it-or-leave-it setting. Our preliminary findings suggest negotiating consent is a powerful interaction mechanism that engages users and can enable them to strike a balance between privacy and pricing concerns.},
448 acmid = {2892340},
449 doi = {10.1145/2851581.2892340},
450 file = {:Negotiation as an Interaction Mechanism for Deciding App Permissions.pdf:PDF},
451 isbn = {978-1-4503-4082-3},
452 keywords = {interaction, mobile, negotiation, permissions, privacy},
453 location = {Santa Clara, California, USA},
454 numpages = {8},
455 pdf = {pub/Negotiation_As_an_Interaction_Mechanism_for_Deciding_App_Permissions.pdf},
456 url = {http://doi.acm.org/10.1145/2851581.2892340},
457}
458
459@InBook{ANAC2014Baseline,
460 author = {Reyhan Aydo{\u{g}}an and Tim Baarslag and Catholijn M. Jonker and Katsuhide Fujita and Takayuki Ito and Rafik Hadfi and Kohei Hayakawa},
461 title = {A Baseline for Non-Linear Bilateral Negotiations: The full results of the agents competing in {ANAC} 2014},
462 year = {2016},
463 abstract = {In the past few years, there is a growing interest in automated negotiation in which software agents facilitate negotiation on behalf of their users and try to reach joint agreements. The potential value of developing such mechanisms becomes enormous when negotiation domain is too complex for humans to find agreements (e.g. e-commerce) and when software components need to reach agreements to work together (e.g. web-service composition). Here, one of the major challenges is to design agents that are able to deal with incomplete information about their opponents in negotiation as well as to effectively negotiate on their users? behalves. To facilitate the research in this field, an automated negotiating agent competition has been organized yearly. This paper introduces the research challenges in Automated Negotiating Agent Competition (ANAC) 2014 and explains the competition set up and results. Furthermore, a detailed analysis of the best performing five agents has been examined.},
464 booktitle = {Intelligent Computational Systems: A Multi-Disciplinary Perspective},
465 pdf = {pub/A_Baseline_for_Non-Linear_Bilateral_Negotiations-The_full_results_of_the_agents_competing_in_ANAC_2014.pdf},
466 publisher = {Bentham Science Publishers},
467 series = {Frontiers in Artificial Intelligence},
468 url = {http://eprints.soton.ac.uk/399235/},
469}
470
471@InBook{ANAC2014,
472 title = {The Fifth Automated Negotiating Agents Competition ({ANAC} 2014)},
473 publisher = {Springer International Publishing},
474 year = {2016},
475 author = {Fujita, Katsuhide and Aydo{\u{g}}an, Reyhan and Baarslag, Tim and Ito, Takayuki and Jonker, Catholijn},
476 editor = {Fukuta, Naoki and Ito, Takayuki and Zhang, Minjie and Fujita, Katsuhide and Robu, Valentin},
477 address = {Cham},
478 abstract = {In May 2014, we organized the Fifth International Automated Negotiating Agents Competition (ANAC 2014) in conjunction with AAMAS 2014. ANAC is an international competition that challenges researchers to develop a successful automated negotiator for scenarios where there is incomplete information about the opponent. One of the goals of this competition is to help steer the research in the area of bilateral multi-issue negotiations, and to encourage the design of generic negotiating agents that are able to operate in a variety of scenarios. 21 teams from 13 different institutes competed in ANAC 2014. This chapter describes the participating agents and the setup of the tournament, including the different negotiation scenarios that were used in the competition. We report on the results of the qualifying and final round of the tournament.},
479 booktitle = {Recent Advances in Agent-based Complex Automated Negotiation},
480 volume = {638},
481 pages = {211--224},
482 doi = {10.1007/978-3-319-30307-9\_13},
483 isbn = {978-3-319-30307-9},
484 pdf = {pub/The_Fifth_Automated_Negotiating_Agents_Competition_ANAC_2014.pdf},
485 url = {http://dx.doi.org/10.1007/978-3-319-30307-9\_13},
486}
487
488@InProceedings{BaarslagOMSurveyAAMAS,
489 author = {Tim Baarslag and Mark J.C. Hendrikx and Koen V. Hindriks and Catholijn M. Jonker},
490 title = {A Survey of Opponent Modeling Techniques in Automated Negotiation},
491 booktitle = {Proceedings of the 2016 International Conference on Autonomous Agents and Multi-agent Systems},
492 year = {2016},
493 series = {AAMAS '16},
494 pages = {575--576},
495 address = {Richland, SC},
496 publisher = {International Foundation for Autonomous Agents and Multiagent Systems},
497 abstract = {Negotiation is a process in which parties interact to settle a mutual concern to improve their status quo. Traditionally, negotiation is a necessary, but time-consuming and expensive activity. Therefore, in the last two decades, there has been a growing interest in the automation of negotiation. One of the key challenges for a successful negotiation is that usually only limited information is available about the opponent. Although sharing private information can result in mutual gains, negotiators often avoid this to prevent exploitation. This problem can be partially overcome by deriving information from the opponent's actions. Exploiting this information to learn aspects of the opponent is called opponent modeling. Creating an accurate opponent model is a key factor in improving the quality of the outcome and can further increase the benefits of automated negotiation. Despite the advantages of opponent modeling and two decades of research, there is no recent study that provides an overview of the field. Therefore, in order to stimulate the development of efficient future opponent models, and to outline a research agenda, we provide an overview of existing opponent models in bilateral negotiation. As our main contributions, we classify opponent models using a comprehensive taxonomy and provide recommendations on how to select the best model depending on the negotiation setting.},
498 acmid = {2937008},
499 isbn = {978-1-4503-4239-1},
500 keywords = {automated negotiation, learning techniques, machine learning, negotiation, opponent model, opponent modeling, software agents, survey},
501 location = {Singapore, Singapore},
502 numpages = {2},
503 pdf = {pub/A_survey_of_opponent_modeling_techniques_in_automated_negotiation.pdf},
504 url = {http://dl.acm.org/citation.cfm?id=2936924.2937008},
505}
506
507@InProceedings{BaarslagSimultaneousSearch,
508 author = {Tim Baarslag and Enrico H. Gerding and Reyhan Aydo{\u{g}}an and M.C. Schraefel},
509 title = {Optimal Negotiation Decision Functions in Time-Sensitive Domains},
510 booktitle = {2015 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT)},
511 year = {2015},
512 volume = {2},
513 pages = {190-197},
514 month = {Dec},
515 abstract = {The last two decades have seen a growing interest in automated agents that are able to negotiate on behalf of human negotiators in a wide variety of negotiation domains. One key aspect of a successful negotiating agent is its ability to make appropriate concessions at the right time, especially when there are costs associated with the duration of the negotiation. However, so far, there is no fundamental approach on how much to concede at every stage of the negotiation in such time-sensitive domains. We introduce an efficient solution based on simultaneous search, which is able to select the optimal sequence of offers that maximizes expected payoff, given the agent's beliefs about the opponent. To this end, we show that our approach is consistent with known theoretical results and we demonstrate both its effectiveness and natural properties by applying it to a number of typical negotiation scenarios. Finally, we show in a number of experiments that our solution outperforms other state of the art strategy benchmarks.},
516 doi = {10.1109/WI-IAT.2015.161},
517 keywords = {multi-agent systems;negotiation support systems;automated agents;negotiating agent;optimal negotiation decision functions;simultaneous search;time-sensitive domains;Cost function;Electronic mail;Force;Games;Intelligent agents;Planning;Uncertainty;Automated negotiation;Bidding strategy;Cascade model;Concessions;Cost;Costly negotiation;Decision function;Distributive bargaining;Integrative bargaining;Negotiation;Optimal offers;Simultaneous search;Time-sensitive},
518 pdf = {pub/Optimal_Negotiation_Decision_Functions_in_Time-Sensitive_Domains.pdf},
519 url = {http://dx.doi.org/10.1109/WI-IAT.2015.161},
520}
521
522@Article{BaarslagANAC2010-2015,
523 author = {Tim Baarslag and Reyhan Aydo{\u{g}}an and Koen V. Hindriks and Katsuhide Fuijita and Takayuki Ito and Catholijn M. Jonker},
524 title = {The Automated Negotiating Agents Competition, 2010-2015},
525 journal = {AI Magazine},
526 year = {2015},
527 volume = {36},
528 number = {4},
529 pages = {115-118},
530 month = {12/2015},
531 abstract = {The Automated Negotiating Agents Competition is an international event that, since 2010, has contributed to the evaluation and development of new techniques and benchmarks for improving the state of the art in automated multi-issue negotiation. A key objective of the competition has been to analyze and search the design space of negotiating agents for agents that are able to operate effectively across a variety of domains. The competition is a valuable tool for studying important aspects of negotiation including profiles and domains, opponent learning, strategies, and bilateral and multilateral protocols. Two of the challenges that remain are how to develop argumentation-based negotiation agents that, in addition to making offers, can inform and argue to obtain an acceptable agreement for both parties; and how to create agents that can negotiate in a human fashion.},
532 pdf = {pub/The_Automated_Negotiating_Agents_Competition-2010-2015.pdf},
533 publisher = {Association for the Advancement of Artificial Intelligence (AAAI)},
534 type = {Competition report},
535 url = {http://www.aaai.org/ojs/index.php/aimagazine/article/view/2609},
536}
537
538@inproceedings{BaarslagNegotiatingMobileAppPermissions,
539 title={Negotiating Mobile App Permissions},
540 author={Tim Baarslag and Ilaria Liccardi and Enrico H. Gerding and Richard Gomer and M.C. Schraefel},
541 booktitle={Amsterdam privacy conference},
542 year={2015},
543 abstract={We propose a design in which the user can negotiate a mobile app's permissions to access their personal data. For example, users who prefer not to view ads could opt to pay an additional fee for this. However, negotiating with each app might be cumbersome and difficult to achieve by users. Hence, to make this process easier, we propose an approach that uses an agent-based framework that employs software agents to represent users in their privacy negotiation with the app in an automated manner.},
544 url = {http://eprints.soton.ac.uk/377378/}
545}
546
547@InProceedings{BaarslagPandora,
548 author = {Tim Baarslag and Enrico H. Gerding},
549 title = {Optimal Incremental Preference Elicitation during Negotiation},
550 booktitle = {Proceedings of the Twenty-fourth International Joint Conference on Artificial Intelligence},
551 year = {2015},
552 series = {IJCAI'15},
553 pages = {3--9},
554 organization = {AAAI Press},
555 abstract = {The last two decades have seen a growing interest in the development of automated agents that are able to negotiate on the user's behalf. When representing a user in a negotiation, it is essential for the agent to understand the user's preferences, without exposing them to elicitation fatigue. To this end, we propose a new model in which a negotiating agent may incrementally elicit the user's preference during the negotiation. We introduce an optimal elicitation strategy that decides, at every stage of the negotiation, how much additional user information to extract at a certain cost. Finally, we demonstrate the effectiveness of our approach by combining our policy with well-known negotiation strategies and show that it significantly outperforms other elicitation strategies.},
556 acmid = {2832250},
557 isbn = {978-1-57735-738-4},
558 location = {Buenos Aires, Argentina},
559 numpages = {7},
560 pdf = {pub/Optimal_Incremental_Preference_Elicitation_during_Negotiation.pdf},
561 url = {http://dl.acm.org/citation.cfm?id=2832249.2832250},
562}
563
564@inproceedings{BaarslagPandoraAMEC,
565 title={Optimal Incremental Preference Elicitation during Negotiation},
566 author={Tim Baarslag and Enrico H. Gerding},
567 booktitle={17th International Workshop on Agent-Mediated Electronic Commerce and Trading Agents Design and Analysis},
568 year={2015},
569 url = {http://dl.acm.org/citation.cfm?id=2832249.2832250}
570}
571
572@PHDTHESIS{BaarslagThesis,
573 author = {Tim Baarslag},
574 title = {What to Bid and When to Stop},
575 school = {Delft University of Technology},
576 year = {2014},
577 month = {Sep},
578 isbn = {978-94-6186-305-8},
579 doi = {10.4233/uuid:3df6e234-a7c1-4dbe-9eb9-baadabc04bca},
580 url = {http://dx.doi.org/10.4233/uuid:3df6e234-a7c1-4dbe-9eb9-baadabc04bca},
581 type = {Dissertation},
582 pdf = {pub/What_to_Bid_and_When_to_Stop.pdf},
583 abstract = {Negotiation is an important activity in human society, and is studied by various disciplines, ranging from economics and game theory, to electronic commerce, social psychology, and artificial intelligence. Traditionally, negotiation is a necessary, but also time-consuming and expensive activity. Therefore, in the last decades there has been a large interest in the automation of negotiation, for example in the setting of e-commerce. This interest is fueled by the promise of automated agents eventually being able to negotiate on behalf of human negotiators. Every year, automated negotiation agents are improving in various ways, and there is now a large body of negotiation strategies available, all with their unique strengths and weaknesses. For example, some agents are able to predict the opponent's preferences very well, while others focus more on having a sophisticated bidding strategy. The problem however, is that there is little incremental improvement in agent design, as the agents are tested in varying negotiation settings, using a diverse set of performance measures. This makes it very difficult to meaningfully compare the agents, let alone their underlying techniques. As a result, we lack a reliable way to pinpoint the most effective components in a negotiating agent. There are two major advantages of distinguishing between the different components of a negotiating agent's strategy: first, it allows the study of the behavior and performance of the components in isolation. For example, it becomes possible to compare the preference learning component of all agents, and to identify the best among them. Second, we can proceed to mix and match different components to create new negotiation strategies., e.g.: replacing the preference learning technique of an agent and then examining whether this makes a difference. Such a procedure enables us to combine the individual components to systematically explore the space of possible negotiation strategies. To develop a compositional approach to evaluate and combine the components, we identify structure in most agent designs by introducing the BOA architecture, in which we can develop and integrate the different components of a negotiating agent. We identify three main components of a general negotiation strategy; namely a bidding strategy (B), possibly an opponent model (O), and an acceptance strategy (A). The bidding strategy considers what concessions it deems appropriate given its own preferences, and takes the opponent into account by using an opponent model. The acceptance strategy decides whether offers proposed by the opponent should be accepted. The BOA architecture is integrated into a generic negotiation environment called Genius, which is a software environment for designing and evaluating negotiation strategies. To explore the negotiation strategy space of the negotiation research community, we amend the Genius repository with various existing agents and scenarios from literature. Additionally, we organize a yearly international negotiation competition (ANAC) to harvest even more strategies and scenarios. ANAC also acts as an evaluation tool for negotiation strategies, and encourages the design of negotiation strategies and scenarios. We re-implement agents from literature and ANAC and decouple them to fit into the BOA architecture without introducing any changes in their behavior. For each of the three components, we manage to find and analyze the best ones for specific cases, as described below. We show that the BOA framework leads to significant improvements in agent design by wining ANAC 2013, which had 19 participating teams from 8 international institutions, with an agent that is designed using the BOA framework and is informed by a preliminary analysis of the different components. In every negotiation, one of the negotiating parties must accept an offer to reach an agreement. Therefore, it is important that a negotiator employs a proficient mechanism to decide under which conditions to accept. When contemplating whether to accept an offer, the agent is faced with the acceptance dilemma: accepting the offer may be suboptimal, as better offers may still be presented before time runs out. On the other hand, accepting too late may prevent an agreement from being reached, resulting in a break off with no gain for either party. We classify and compare state-of-the-art generic acceptance conditions. We propose new acceptance strategies and we demonstrate that they outperform the other conditions. We also provide insight into why some conditions work better than others and investigate correlations between the properties of the negotiation scenario and the efficacy of acceptance conditions. Later, we adopt a more principled approach by applying optimal stopping theory to calculate the optimal decision on the acceptance of an offer. We approach the decision of whether to accept as a sequential decision problem, by modeling the bids received as a stochastic process. We determine the optimal acceptance policies for particular opponent classes and we present an approach to estimate the expected range of offers when the type of opponent is unknown. We show that the proposed approach is able to find the optimal time to accept, and improves upon all existing acceptance strategies. Another principal component of a negotiating agent's strategy is its ability to take the opponent's preferences into account. The quality of an opponent model can be measured in two different ways. One is to use the agent's performance as a benchmark for the model's quality. We evaluate and compare the performance of a selection of state-of-the-art opponent modeling techniques in negotiation. We provide an overview of the factors influencing the quality of a model and we analyze how the performance of opponent models depends on the negotiation setting. We identify a class of simple and surprisingly effective opponent modeling techniques that did not receive much previous attention in literature. The other way to measure the quality of an opponent model is to directly evaluate its accuracy by using similarity measures. We review all methods to measure the accuracy of an opponent model and we then analyze how changes in accuracy translate into performance differences. Moreover, we pinpoint the best predictors for good performance. This leads to new insights concerning how to construct an opponent model, and what we need to measure when optimizing performance. Finally, we take two different approaches to gain more insight into effective bidding strategies. We present a new classification method for negotiation strategies, based on their pattern of concession making against different kinds of opponents. We apply this technique to classify some well-known negotiating strategies, and we formulate guidelines on how agents should bid in order to be successful, which gives insight into the bidding strategy space of negotiating agents. Furthermore, we apply optimal stopping theory again, this time to find the concessions that maximize utility for the bidder against particular opponents. We show there is an interesting connection between optimal bidding and optimal acceptance strategies, in the sense that they are mirrored versions of each other. Lastly, after analyzing all components separately, we put the pieces back together again. We take all BOA components accumulated so far, including the best ones, and combine them all together to explore the space of negotiation strategies. We compute the contribution of each component to the overall negotiation result, and we study the interaction between components. We find that combining the best agent components indeed makes the strongest agents. This shows that the component-based view of the BOA architecture not only provides a useful basis for developing negotiating agents but also provides a useful analytical tool. By varying the BOA components we are able to demonstrate the contribution of each component to the negotiation result, and thus analyze the significance of each. The bidding strategy is by far the most important to consider, followed by the acceptance conditions and finally followed by the opponent model. Our results validate the analytical approach of the BOA framework to first optimize the individual components, and then to recombine them into a negotiating agent.}
584}
585
586@Article{Baarslag12Genius,
587 author = {Raz Lin and Sarit Kraus and Tim Baarslag and Dmytro Tykhonov and Koen V. Hindriks and Catholijn M. Jonker},
588 title = {Genius: An Integrated Environment for Supporting the Design of Generic Automated Negotiators},
589 journal = {Computational Intelligence},
590 year = {2014},
591 volume = {30},
592 number = {1},
593 pages = {48--70},
594 abstract = {The design of automated negotiators has been the focus of abundant
595 research in recent years. However, due to difficulties involved in
596 creating generalized agents that can negotiate in several domains
597 and against human counterparts, many automated negotiators are domain
598 specific and their behavior cannot be generalized for other domains.
599 Some of these difficulties arise from the differences inherent within
600 the domains, the need to understand and learn negotiators' diverse
601 preferences concerning issues of the domain, and the different strategies
602 negotiators can undertake. In this paper we present a system that
603 enables alleviation of the difficulties in the design process of
604 general automated negotiators termed Genius, a General Environment
605 for Negotiation with Intelligent multi-purpose Usage Simulation.
606 With the constant introduction of new domains, e-commerce and other
607 applications, which require automated negotiations, generic automated
608 negotiators encompass many benefits and advantages over agents that
609 are designed for a specific domain. Based on experiments conducted
610 with automated agents designed by human subjects using Genius we
611 provide both quantitative and qualitative results to illustrate its
612 efficacy. Finally, we also analyze a recent automated bilateral negotiators
613 competition that was based on Genius. Our results show the advantages
614 and underlying benefits of using Genius and how it can facilitate
615 the design of general automated negotiators.},
616 doi = {10.1111/j.1467-8640.2012.00463.x},
617 issn = {1467-8640},
618 keywords = {agents competition, automated negotiation, human/computer interaction, bilateral negotiation},
619 pdf = {pub/Genius-An_Integrated_Environment_for_Supporting_the_Design_of_Generic_Automated_Negotiators.pdf},
620 publisher = {Blackwell Publishing Inc},
621 url = {http://dx.doi.org/10.1111/j.1467-8640.2012.00463.x},
622}
623
624@Article{Baarslag13DSS,
625 author = {Tim Baarslag and Koen V. Hindriks and Catholijn M. Jonker},
626 title = {Effective Acceptance Conditions in Real-time Automated Negotiation},
627 journal = {Decision Support Systems},
628 year = {2014},
629 volume = {60},
630 pages = {68--77},
631 month = {Apr},
632 abstract = {In every negotiation with a deadline, one of the negotiating parties
633 must accept an offer to avoid a break off. As a break off is usually
634 an undesirable outcome for both parties, it is important that a negotiator
635 employs a proficient mechanism to decide under which conditions to
636 accept. When designing such conditions, one is faced with the acceptance
637 dilemma: accepting the current offer may be suboptimal, as better
638 offers may still be presented before time runs out. On the other
639 hand, accepting too late may prevent an agreement from being reached,
640 resulting in a break off with no gain for either party. Motivated
641 by the challenges of bilateral negotiations between automated agents
642 and by the results and insights of the automated negotiating agents
643 competition (ANAC), we classify and compare state-of-the-art generic
644 acceptance conditions. We perform extensive experiments to compare
645 the performance of various acceptance conditions in combination with
646 a broad range of bidding strategies and negotiation scenarios. Furthermore
647 we propose new acceptance conditions and we demonstrate that they
648 outperform the other conditions. We also provide insight into why
649 some conditions work better than others and investigate correlations
650 between the properties of the negotiation scenario and the efficacy
651 of acceptance conditions.},
652 acmid = {2599194},
653 address = {Amsterdam, The Netherlands, The Netherlands},
654 doi = {10.1016/j.dss.2013.05.021},
655 issn = {0167-9236},
656 issue_date = {April, 2014},
657 keywords = {Acceptance conditions, Acceptance criteria, Automated negotiation, Real-time bilateral negotiation, When to accept},
658 numpages = {10},
659 pdf = {pub/Effective_Acceptance_Conditions_in_Real-time_Automated_Negotiation.pdf},
660 publisher = {Elsevier Science Publishers B.V.},
661 url = {http://dx.doi.org/10.1016/j.dss.2013.05.021},
662}
663
664@INPROCEEDINGS{Baarslag11ICTOpen,
665 author = {Tim Baarslag and Koen V. Hindriks and Catholijn M. Jonker},
666 title = {Acceptance Conditions in Automated Negotiation},
667 booktitle = {Proceedings of ICT.Open 2011},
668 year = {2011},
669 abstract = {In every negotiation with a deadline, one of the negotiating parties
670 has to accept an offer to avoid a break off. A break off is usually
671 an undesirable outcome for both parties, therefore it is important
672 that a negotiator employs a proficient mechanism to decide under
673 which conditions to accept. When designing such conditions one is
674 faced with the acceptance dilemma: accepting the current offer may
675 be suboptimal, as better offers may still be presented. On the other
676 hand, accepting too late may prevent an agreement from being reached,
677 resulting in a break off with no gain for either party. Motivated
678 by the challenges of bilateral negotiations between automated agents
679 and by the results and insights of the automated negotiating agents
680 competition (ANAC), we classify and compare state-of-the-art generic
681 acceptance conditions. We focus on decoupled acceptance conditions,
682 i.e. conditions that do not depend on the bidding strategy that is
683 used. We performed extensive experiments to compare the performance
684 of acceptance conditions in combination with a broad range of bidding
685 strategies and negotiation domains. Furthermore we propose new acceptance
686 conditions and we demonstrate that they outperform the other conditions
687 that we study. In particular, it is shown that they outperform the
688 standard acceptance condition of comparing the current offer with
689 the offer the agent is ready to send out. We also provide insight
690 in to why some conditions work better than others and investigate
691 correlations between the properties of the negotiation environment
692 and the efficacy of acceptance conditions.},
693 isbn = {978-90-73461-99-4},
694 url = {http://ii.tudelft.nl/?q=node/7719},
695 location = {Veldhoven, the Netherlands}
696}
697
698@InProceedings{Baarslag10ANAC,
699 author = {Baarslag, Tim and Hindriks, Koen V. and Jonker, Catholijn M. and Kraus, Sarit and Lin, Raz},
700 title = {The First Automated Negotiating Agents Competition ({ANAC} 2010)},
701 booktitle = {New Trends in Agent-based Complex Automated Negotiations},
702 year = {2012},
703 editor = {Takayuki Ito and Minjie Zhang and Valentin Robu and Shaheen Fatima and Tokuro Matsuo},
704 volume = {383},
705 series = {Studies in Computational Intelligence},
706 pages = {113-135},
707 address = {Berlin, Heidelberg},
708 publisher = {Springer-Verlag},
709 abstract = {Motivated by the challenges of bilateral negotiations between people
710 and automated agents we organized the first automated negotiating
711 agents competition (ANAC 2010). The purpose of the competition is
712 to facilitate the research in the area bilateral multi-issue closed
713 negotiation. The competition was based on the Genius environment,
714 which is a General Environment for Negotiation with Intelligent multi-purpose
715 Usage Simulation. The first competition was held in conjunction with
716 the Ninth International Conference on Autonomous Agents and Multiagent
717 Systems (AAMAS-10) and was comprised of seven teams. This paper presents
718 an overview of the competition, as well as general and contrasting
719 approaches towards negotiation strategies that were adopted by the
720 participants of the competition. Based on analysis in post--tournament
721 experiments, the paper also attempts to provide some insights with
722 regard to effective approaches towards the design of negotiation
723 strategies.},
724 doi = {10.1007/978-3-642-24696-8\_7},
725 isbn = {978-3-642-24695-1},
726 pdf = {pub/The_First_Automated_Negotiating_Agents_Competition_ANAC_2010.pdf},
727 url = {http://dx.doi.org/10.1007/978-3-642-24696-8_7},
728}
729
730@INPROCEEDINGS{Baarslag10ANACshort,
731 author = {Baarslag, Tim and Hindriks, Koen V. and Jonker, Catholijn M. and Kraus,
732 Sarit and Lin, Raz},
733 title = {The First Automated Negotiating Agents Competition ({ANAC} 2010)},
734 booktitle = {New Trends in Agent-based Complex Automated Negotiations},
735 year = {2012},
736 pages = {113-135},
737 publisher = {Springer-Verlag},
738 abstract = {Motivated by the challenges of bilateral negotiations between people
739 and automated agents we organized the first automated negotiating
740 agents competition (ANAC 2010). The purpose of the competition is
741 to facilitate the research in the area bilateral multi-issue closed
742 negotiation. The competition was based on the GEnius environment,
743 which is a General Environment for Negotiation with Intelligent multi-purpose
744 Usage Simulation. The first competition was held in conjunction with
745 the Ninth International Conference on Autonomous Agents and Multiagent
746 Systems (AAMAS-10) and was comprised of seven teams. This paper presents
747 an overview of the competition, as well as general and contrasting
748 approaches towards negotiation strategies that were adopted by the
749 participants of the competition. Based on analysis in post--tournament
750 experiments, the paper also attempts to provide some insights with
751 regard to effective approaches towards the design of negotiation
752 strategies.},
753 isbn = {978-3-642-24695-1},
754 owner = {tim}
755}
756
757@INPROCEEDINGS{Baarslag10ANACshorter,
758 author = {Baarslag, Tim and Hindriks, Koen V. and Jonker, Catholijn M. and Kraus,
759 Sarit and Lin, Raz},
760 title = {The First Automated Negotiating Agents Competition ({ANAC} 2010)},
761 booktitle = {New Trends in Agent-based Complex Automated Negotiations},
762 year = {2012},
763 abstract = {Motivated by the challenges of bilateral negotiations between people
764 and automated agents we organized the first automated negotiating
765 agents competition (ANAC 2010). The purpose of the competition is
766 to facilitate the research in the area bilateral multi-issue closed
767 negotiation. The competition was based on the GEnius environment,
768 which is a General Environment for Negotiation with Intelligent multi-purpose
769 Usage Simulation. The first competition was held in conjunction with
770 the Ninth International Conference on Autonomous Agents and Multiagent
771 Systems (AAMAS-10) and was comprised of seven teams. This paper presents
772 an overview of the competition, as well as general and contrasting
773 approaches towards negotiation strategies that were adopted by the
774 participants of the competition. Based on analysis in post--tournament
775 experiments, the paper also attempts to provide some insights with
776 regard to effective approaches towards the design of negotiation
777 strategies.},
778 isbn = {978-3-642-24695-1},
779 owner = {tim},
780 timestamp = {2013.04.20}
781}
782
783@InProceedings{Baarslag13AAMAS,
784 author = {Baarslag, Tim and Hindriks, Koen V.},
785 title = {Accepting Optimally in Automated Negotiation with Incomplete Information},
786 booktitle = {Proceedings of the 2013 International Conference on Autonomous Agents and Multi-agent Systems},
787 year = {2013},
788 series = {AAMAS '13},
789 pages = {715--722},
790 address = {Richland, SC},
791 publisher = {International Foundation for Autonomous Agents and Multiagent Systems},
792 abstract = {When a negotiating agent is presented with an offer by its opponent,
793 it is faced with a decision: it can accept the offer that is currently
794 on the table, or it can reject it and continue the negotiation. Both
795 options involve an inherent risk: continuing the negotiation carries
796 the risk of forgoing a possibly optimal offer, whereas accepting
797 runs the risk of missing out on an even better future offer. We approach
798 the decision of whether to accept as a sequential decision problem,
799 by modeling the bids received as a stochastic process. We argue that
800 this is a natural choice in the context of a negotiation with incomplete
801 information, where the future behavior of the opponent is uncertain.
802 We determine the optimal acceptance policies for particular opponent
803 classes and we present an approach to estimate the expected range
804 of offers when the type of opponent is unknown. We apply our method
805 against a wide range of opponents, and compare its performance with
806 acceptance mechanisms of state-of-the-art negotiation strategies.
807 The experiments show that the proposed approach is able to find the
808 optimal time to accept, and improves upon widely used existing acceptance
809 mechanisms.},
810 acmid = {2485033},
811 isbn = {978-1-4503-1993-5},
812 keywords = {acceptance strategy, negotiation, optimal stopping},
813 location = {Saint Paul, Minnesota, USA},
814 numpages = {8},
815 pdf = {pub/Accepting_Optimally_in_Automated_Negotiation_with_Incomplete_Information.pdf},
816 url = {http://dl.acm.org/citation.cfm?id=2484920.2485033},
817}
818
819@InProceedings{BaarslagOptimalBiddingACAN,
820 author = {Tim Baarslag and Rafik Hadfi and Koen V. Hindriks and Takayuki Ito and Catholijn M. Jonker},
821 title = {Optimal Non-adaptive Concession Strategies with Incomplete Information},
822 booktitle = {Recent Advances in Agent-based Complex Automated Negotiation},
823 year = {2016},
824 editor = {Fukuta, Naoki and Ito, Takayuki and Zhang, Minjie and Fujita, Katsuhide and Robu, Valentin},
825 volume = {638},
826 pages = {39--54},
827 address = {Cham},
828 publisher = {Springer International Publishing},
829 abstract = {When two parties conduct a negotiation, they must be willing to make concessions to achieve a mutually acceptable deal, or face the consequences of no agreement. Therefore, negotiators normally make larger concessions as the deadline is closing in. Many time-based concession strategies have already been proposed, but they are typically heuristic in nature, and therefore, it is still unclear what is the right way to concede toward the opponent. Our aim is to construct optimal concession strategies against specific classes of acceptance strategies. We apply sequential decision techniques to find analytical solutions that optimize the expected utility of the bidder, given certain strategy sets of the opponent. Our solutions turn out to significantly outperform current state of the art approaches in terms of obtained utility. Our results open the way for a new and general concession strategy that can be combined with various existing learning and accepting techniques to yield a fully-fledged negotiation strategy for the alternating offers setting.},
830 doi = {10.1007/978-3-319-30307-9_3},
831 isbn = {978-3-319-30307-9},
832 pdf = {pub/Optimal_Non-adaptive_Concession_Strategies_with_Incomplete_Information.pdf},
833 url = {http://dx.doi.org/10.1007/978-3-319-30307-9_3},
834}
835
836@incollection{CUHKAgent,
837year={2014},
838isbn={978-4-431-54757-0},
839booktitle={Novel Insights in Agent-based Complex Automated Negotiation},
840volume={535},
841series={Studies in Computational Intelligence},
842editor={Marsa-Maestre, Ivan and Lopez-Carmona, Miguel A. and Ito, Takayuki and Zhang, Minjie and Bai, Quan and Fujita, Katsuhide},
843doi={10.1007/978-4-431-54758-7_11},
844title={CUHKAgent: An Adaptive Negotiation Strategy for Bilateral Negotiations over Multiple Items},
845publisher={Springer Japan},
846keywords={Adaption; Negotiation; Reinforcement learning},
847author={Hao, Jianye and Leung, {Ho-fung}},
848pages={171-179}
849}
850
851@ARTICLE{Her10,
852 author = {Abdi, Herv\'{e} and Williams, Lynne J.},
853 title = {Principal component analysis},
854 journal = {Wiley Interdisciplinary Reviews: Computational Statistics},
855 year = {2010},
856 volume = {2},
857 pages = {433--459},
858 number = {4},
859 doi = {10.1002/wics.101},
860 issn = {1939-0068},
861 keywords = {singular and eigen value decomposition, bilinear decomposition, factor
862 scores and loadings, RESS PRESS, multiple factor analysis},
863 publisher = {John Wiley \& Sons, Inc.},
864 url = {http://dx.doi.org/10.1002/wics.101}
865}
866
867@MASTERSTHESIS{Afi13,
868 author = {Afiouni, Einar Nour and Ovrelid, Leif Julian},
869 title = {Negotiation for Strategic Video Games},
870 school = {Norwegian University of Science and Technology, Department of Computer and Information Science},
871 year = {2013},
872 institution = {Norwegian University of Science and Technology, Department of Computer and Information Science},
873 pages = {140},
874 publisher = {Institutt for datateknikk og informasjonsvitenskap}
875}
876
877@ARTICLE{Agr09,
878 author = {Agrawal, Manish K. and Chari, Kaushal},
879 title = {Learning Negotiation Support Systems in Competitive Negotiations:
880 A Study of Negotiation Behaviours and System Impacts},
881 journal = {International Journal of Intelligent Information Technologies},
882 year = {2009},
883 volume = {5},
884 pages = {1--23},
885 number = {1},
886 owner = {Mark},
887 timestamp = {2013.05.28}
888}
889
890
891
892@PHDTHESIS{An11,
893 author = {An, B.},
894 title = {Automated negotiation for complex multi-agent resource allocation},
895 school = {University of Massachusetts Amherst},
896 year = {2011},
897 owner = {Mark},
898 timestamp = {2013.01.25}
899}
900
901@article{An11strategic,
902 author = {An, Bo and Lesser, Victor R. and Sim, Kwang Mong},
903 title = {Strategic Agents for Multi-resource Negotiation},
904 journal = {Autonomous Agents and Multi-Agent Systems},
905 issue_date = {July 2011},
906 volume = {23},
907 number = {1},
908 month = {Jul},
909 year = {2011},
910 issn = {1387-2532},
911 pages = {114--153},
912 numpages = {40},
913 url = {http://dx.doi.org/10.1007/s10458-010-9137-2},
914 doi = {10.1007/s10458-010-9137-2},
915 acmid = {1969596},
916 publisher = {Kluwer Academic Publishers},
917 address = {Hingham, MA, USA},
918 keywords = {Automated negotiation, Multi-resource, Negotiation strategy},
919}
920
921@ARTICLE{An12,
922 author = {An, Bo and Gatti, Nicola and Lesser, Victor R.},
923 title = {Bilateral bargaining with one-sided uncertain reserve prices},
924 journal = {Autonomous Agents and Multi-Agent Systems},
925 year = {2013},
926 volume = {26},
927 pages = {420-455},
928 doi = {10.1007/s10458-012-9198-5},
929 issn = {1387-2532},
930 issue = {3},
931 keywords = {Negotiation; Bargaining; Autonomous agents; Equilibrium},
932 language = {English},
933 owner = {Mark},
934 publisher = {Springer US},
935 timestamp = {2013.02.12},
936 url = {http://dx.doi.org/10.1007/s10458-012-9198-5}
937}
938
939@INPROCEEDINGS{An09,
940 author = {An, B. and Gatti, N. and Lesser, V.R.},
941 title = {Bilateral bargaining with one-sided two-type uncertainty},
942 booktitle = {Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology},
943 volume = {2},
944 year = {2009},
945 pages = {403--410},
946 organization = {IEEE Computer Society},
947 owner = {Mark},
948 timestamp = {2013.02.06}
949}
950
951@INPROCEEDINGS{An09extending,
952 author = {Bo An and Gatti, N. and Lesser, V.R.},
953 title = {Extending Alternating-Offers Bargaining in One-to-Many and Many-to-Many Settings},
954 booktitle = {Proceedings of the 2009 IEEE/WIC/ACM International Conference on
955 Intelligent Agent Technology, IAT 2009, Milan, Italy},
956 year = {2009},
957 volume = {2},
958 pages = {423-426},
959 abstract = {Automating negotiations in markets where multiple buyers and sellers
960 operate is a scientific challenge of extraordinary importance. One-to-one
961 negotiations are classically studied as bilateral bargaining problems,
962 while one-to-many and many-to-many negotiations are studied as auctioning
963 problems. This paper aims at bridging together these two approaches,
964 analyzing agents' strategic behavior in one-to-many and many-to-many
965 negotiations when agents follow the alternating-offers bargaining
966 protocol [5]. First, we propose a novel mechanism that captures the
967 peculiarities of these settings. Then, we preliminarily explore how
968 uncertainty over reserve prices and deadlines can affect equilibrium
969 strategies. Surprisingly, the computation of the equilibrium for
970 realistic ranges of the parameters in one-to-many settings is reduced
971 to the computation of the equilibrium either in one-to-one settings
972 with uncertainty or in one-to-many settings without uncertainty.},
973 doi = {10.1109/WI-IAT.2009.188},
974 keywords = {Computational complexity;Computer science;Conferences;Consumer electronics;Game
975 theory;Intelligent agent;Protocols;USA Councils;Uncertainty}
976}
977
978@INPROCEEDINGS{ANAC2010AnExt,
979author={An, Bo and Lesser, Victor R.},
980 title = {Yushu: a Heuristic-Based Agent for Automated Negotiating Competition},
981 booktitle = {New Trends in Agent-based Complex Automated Negotiations},
982 volume={383},
983 series={Studies in Computational Intelligence},
984 year = {2012},
985editor={Ito, Takayuki and Zhang, Minjie and Robu, Valentin and Fatima, Shaheen and Matsuo, Tokuro},
986doi={10.1007/978-3-642-24696-8_9},
987 pages = {145-149},
988publisher={Springer Berlin Heidelberg},
989 isbn = {978-3-642-24695-1},
990 owner = {tim}
991}
992
993@ARTICLE{ANAC2010An,
994 author = {Bo An and Victor R. Lesser},
995 title = {Yushu: a Heuristic-Based Agent for Automated Negotiating Competition},
996 journal = {This volume},
997 year = {2012},
998 pages = {145-149}
999}
1000
1001@ARTICLE{AnLes11,
1002 author = {An, Bo and Lesser, Victor R. and Sim, KwangMong},
1003 title = {Strategic agents for multi-resource negotiation},
1004 journal = {Autonomous Agents and Multi-Agent Systems},
1005 year = {2011},
1006 volume = {23},
1007 pages = {114-153},
1008 number = {1},
1009 doi = {10.1007/s10458-010-9137-2},
1010 issn = {1387-2532},
1011 keywords = {Automated negotiation; Negotiation strategy; Multi-resource},
1012 language = {English},
1013 publisher = {Springer US},
1014 url = {http://dx.doi.org/10.1007/s10458-010-9137-2}
1015}
1016
1017@INCOLLECTION{An08,
1018 author = {An, Bo and Sim, Kwang Mong and Tang, Liang Gui and Miao, Chun Yan and Shen, Zhi Qi and Cheng, Dai Jie},
1019 title = {Negotiation Agents' Decision Making Using Markov Chains},
1020 booktitle = {Rational, Robust, and Secure Negotiations in Multi-Agent Systems},
1021 publisher = {Springer Berlin Heidelberg},
1022 year = {2008},
1023 editor = {Ito, Takayuki and Hattori, Hiromitsu and Zhang, Minjie and Matsuo, Tokuro},
1024 volume = {89},
1025 series = {Studies in Computational Intelligence},
1026 pages = {3-23},
1027 doi = {10.1007/978-3-540-76282-9_1},
1028 isbn = {978-3-540-76281-2},
1029 url = {http://dx.doi.org/10.1007/978-3-540-76282-9\_1}
1030}
1031
1032@BOOK{Arr65,
1033 title = {The Theory of Risk Aversion},
1034 publisher = {Markham Publ. Co.},
1035 year = {1965},
1036 author = {Arrow, K.J.},
1037 journal = {Aspects of the Theory of Risk Bearing}
1038}
1039
1040@INPROCEEDINGS{Ash03,
1041 author = {Ashri, R. and Rahwan, I. and Luck, M.},
1042 title = {Architectures for negotiating agents},
1043 booktitle = {Proceedings of the 3rd Central and Eastern European conference on
1044 Multi-agent systems},
1045 year = {2003},
1046 pages = {136--146},
1047 organization = {Springer-Verlag},
1048 owner = {Mark},
1049 timestamp = {2012.02.05}
1050}
1051
1052@BOOK{Asi82,
1053 title = {Asimov's Biographical Encyclopedia of Science and Technology: The Lives and Achievements of 1195 Great Scientists from Ancient Times to the Present, Chronologically Arranged, Second Revised Edition},
1054 publisher = {Doubleday},
1055 year = {1982},
1056 author = {Asimov, I.},
1057 series = {Equinox book},
1058 isbn = {9780380006199},
1059 lccn = {78139003},
1060 url = {http://books.google.nl/books?id=ADjYAAAAMAAJ}
1061}
1062
1063@BOOK{Axe84,
1064 title={The Evolution of Cooperation},
1065 author={Axelrod, Robert},
1066 year={1984},
1067 publisher={Basic Books},
1068 address = {New York, NY, USA}
1069}
1070
1071@ARTICLE{Axe88,
1072 author = {Axelrod, Robert and Dion, Douglas},
1073 title = {The Further Evolution of Cooperation},
1074 journal = {Science},
1075 year = {1988},
1076 volume = {242},
1077 pages = {1385--1390},
1078 number = {4884},
1079 month = {Dec},
1080 abstract = {Axelrod's model of the evolution of cooperation was based on the iterated
1081 Prisoner's Dilemma. Empirical work following this approach has helped
1082 establish the prevalence of cooperation based on reciprocity. Theoretical
1083 work has led to a deeper understanding of the role of other factors
1084 in the evolution of cooperation: the number of players, the range
1085 of possible choices, variation in the payoff structure, noise, the
1086 shadow of the future, population dynamics, and population structure.
1087 10.1126/science.242.4884.1385},
1088 citeulike-article-id = {2462803},
1089 citeulike-linkout-0 = {http://dx.doi.org/10.1126/science.242.4884.1385},
1090 citeulike-linkout-1 = {http://www.sciencemag.org/cgi/content/abstract/242/4884/1385},
1091 citeulike-linkout-2 = {http://view.ncbi.nlm.nih.gov/pubmed/17802133},
1092 citeulike-linkout-3 = {http://www.hubmed.org/display.cgi?uids=17802133},
1093 day = {9},
1094 doi = {10.1126/science.242.4884.1385},
1095 keywords = {axelrod, cooperation, evolution, memetics},
1096 owner = {tim},
1097 posted-at = {2008-03-04 02:07:44},
1098 priority = {4},
1099 timestamp = {2010.03.03},
1100 url = {http://dx.doi.org/10.1126/science.242.4884.1385}
1101}
1102
1103@Article{Ayd14,
1104 author = {Aydo\u{g}an, Reyhan and Baarslag, Tim and Hindriks, Koen V. and Jonker, Catholijn M. and Yolum, P{\i}nar},
1105 title = {Heuristics for Using CP-nets in Utility-based Negotiation Without Knowing Utilities},
1106 journal = {Knowledge and Information Systems},
1107 year = {2015},
1108 volume = {45},
1109 number = {2},
1110 pages = {357--388},
1111 month = nov,
1112 acmid = {2830202},
1113 address = {New York, NY, USA},
1114 doi = {10.1007/s10115-014-0798-z},
1115 issn = {0219-1377},
1116 issue_date = {November 2015},
1117 keywords = {Automated negotiation, CP-nets, Heuristic-based approaches, Qualitative preferences},
1118 numpages = {32},
1119 pdf = {http://dx.doi.org/10.1007/s10115-014-0798-z},
1120 publisher = {Springer-Verlag New York, Inc.},
1121 url = {http://dx.doi.org/10.1007/s10115-014-0798-z},
1122 abstract = {CP-nets have proven to be an effective representation for capturing preferences. However, their use in automated negotiation is not straightforward because, typically, preferences in CP-nets are partially ordered and negotiating agents are required to compare any two outcomes based on a request and an offer in order to negotiate effectively. If agents know how to generate total orders from their CP-nets, they can make this comparison. This paper proposes heuristics that enable the use of CP-nets in utility-based negotiations by generating total orderings. To validate this approach, the paper compares the performance of CP-nets with our heuristics with the performance of UCP-nets that are equipped with complete preference orderings. Our results show that we can achieve comparable performance in terms of the outcome utility. More importantly, one of our proposed heuristics can achieve this performance with significantly smaller number of interactions compared to UCP-nets.}
1123}
1124
1125@InProceedings{Ayd11,
1126 author = {Reyhan Aydo{\u{g}}an and Tim Baarslag and Koen V. Hindriks and Catholijn M. Jonker and P{\i}nar Yolum},
1127 title = {Heuristic-based Approaches for {CP}-Nets in Negotiation},
1128 booktitle = {Complex Automated Negotiations: Theories, Models, and Software Competitions},
1129 year = {2013},
1130 editor = {Ito, Takayuki and Zhang, Minjie and Robu, Valentin and Matsuo, Tokuro},
1131 volume = {435},
1132 series = {Studies in Computational Intelligence},
1133 pages = {113-123},
1134 publisher = {Springer Berlin Heidelberg},
1135 abstract = {CP-Nets have proven to be an effective representation for capturing
1136 preferences. However, their use in multiagent negotiation is not
1137 straightforward. The main reason for this is that CP-Nets capture
1138 partial ordering of preferences, whereas negotiating agents are required
1139 to compare any two outcomes based on the request and offers. This
1140 makes it necessary for agents to generate total orders from their
1141 CP-Nets. We have previously proposed a heuristic to generate total
1142 orders from a given CP-Net. This paper proposes another heuristic
1143 based on Borda count, applies it in negotiation, and compares its
1144 performance with the previous heuristic.},
1145 attachments = {http://ii.tudelft.nl/sites/default/files/ACAN2011CPNetHeuristics.pdf},
1146 doi = {10.1007/978-3-642-30737-9\_7},
1147 isbn = {978-3-642-30736-2},
1148 keyword = {Engineering},
1149 pdf = {pub/Heuristic-based_approaches_for_CP-nets_in_negotiation.pdf},
1150 url = {http://dx.doi.org/10.1007/978-3-642-30737-9\_7},
1151}
1152
1153@INCOLLECTION{Ayd12Preference,
1154 author = {Aydo{\u{g}}an, Reyhan and Yolum, P{\i}nar},
1155 title = {The Effect of Preference Representation on Learning Preferences in
1156 Negotiation},
1157 booktitle = {New Trends in Agent-Based Complex Automated Negotiations},
1158 publisher = {Springer Berlin Heidelberg},
1159 year = {2012},
1160 editor = {Ito, Takayuki and Zhang, Minjie and Robu, Valentin and Fatima, Shaheen
1161 and Matsuo, Tokuro},
1162 volume = {383},
1163 series = {Studies in Computational Intelligence},
1164 pages = {3-20},
1165 doi = {10.1007/978-3-642-24696-8\_1},
1166 isbn = {978-3-642-24695-1},
1167 language = {English},
1168 url = {http://dx.doi.org/10.1007/978-3-642-24696-8\_1}
1169}
1170
1171@ARTICLE{Ayd12,
1172 author = {Aydo{\u{g}}an, Reyhan and Yolum, P{\i}nar},
1173 title = {Learning opponent's preferences for effective negotiation: an approach
1174 based on concept learning},
1175 journal = {Autonomous Agents and Multi-Agent Systems},
1176 year = {2012},
1177 volume = {24},
1178 pages = {104-140},
1179 abstract = {We consider automated negotiation as a process carried out by software
1180 agents to reach a consensus. To automate negotiation, we expect agents
1181 to understand their user's preferences, generate offers that will
1182 satisfy their user, and decide whether counter offers are satisfactory.
1183 For this purpose, a crucial aspect is the treatment of preferences.
1184 An agent not only needs to understand its own user's preferences,
1185 but also its opponent's preferences so that agreements can be reached.
1186 Accordingly, this paper proposes a learning algorithm that can be
1187 used by a producer during negotiation to understand consumer's needs
1188 and to offer services that respect consumer's preferences. Our proposed
1189 algorithm is based on inductive learning but also incorporates the
1190 idea of revision. Thus, as the negotiation proceeds, a producer can
1191 revise its idea of the consumer's preferences. The learning is enhanced
1192 with the use of ontologies so that similar service requests can be
1193 identified and treated similarly. Further, the algorithm is targeted
1194 to learning both conjunctive as well as disjunctive preferences.
1195 Hence, even if the consumer's preferences are specified in complex
1196 ways, our algorithm can learn and guide the producer to create well-targeted
1197 offers. Further, our algorithm can detect whether some preferences
1198 cannot be satisfied early and thus consensus cannot be reached. Our
1199 experimental results show that the producer using our learning algorithm
1200 negotiates faster and more successfully with customers compared to
1201 several other algorithms.},
1202 affiliation = {Department of Computer Engineering, Bogazici University, 34342 Bebek,
1203 Istanbul, Turkey},
1204 issn = {1387-2532},
1205 issue = {1},
1206 keyword = {Computer Science},
1207 publisher = {Springer Netherlands},
1208 url = {http://dx.doi.org/10.1007/s10458-010-9147-0}
1209}
1210
1211@INPROCEEDINGS{Ayd07,
1212 author = {Aydo{\u{g}}an, Reyhan and Yolum, P{\i}nar},
1213 title = {Learning consumer preferences using semantic similarity},
1214 booktitle = {Proceedings of the 6th international joint conference on Autonomous
1215 agents and multiagent systems},
1216 year = {2007},
1217 pages = {229},
1218 organization = {ACM},
1219 owner = {Mark},
1220 timestamp = {2013.02.06}
1221}
1222
1223@INPROCEEDINGS{Ayd02,
1224 author = {Reyhan Aydo{\u{g}}an and P{\i}nar Yolum},
1225 title = {Learning Consumer Preferences for Content-Oriented Negotiation},
1226 booktitle = {AAMAS Workshop on Business Agents and the Semantic Web (BASeWEB)},
1227 year = {2006},
1228 pages = {43--52},
1229 month = {May},
1230 publisher = {ACM Press},
1231 owner = {Mark},
1232 timestamp = {2013.06.15}
1233}
1234
1235@InProceedings{BaarslagComponentAnalysis,
1236 author = {Tim Baarslag and Alexander S.Y. Dirkzwager and Koen V. Hindriks and Catholijn M. Jonker},
1237 title = {The Significance of Bidding, Accepting and Opponent Modeling in Automated Negotiation},
1238 booktitle = {21st European Conference on Artificial Intelligence},
1239 year = {2014},
1240 volume = {263},
1241 series = {Frontiers in Artificial Intelligence and Applications},
1242 pages = {27-32},
1243 abstract = {Given the growing interest in automated negotiation, the search for effective strategies has produced a variety of different negotiation agents. Despite their diversity, there is a common structure to their design. A negotiation agent comprises three key components: the bidding strategy, the opponent model and the acceptance criteria. We show that this three-component view of a negotiating architecture not only provides a useful basis for developing such agents but also provides a useful analytical tool. By combining these components in varying ways, we are able to demonstrate the contribution of each component to the overall negotiation result, and thus determine the key contributing components. Moreover, we are able to study the interaction between components and present detailed interaction effects. Furthermore, we find that the bidding strategy in particular is of critical importance to the negotiator's success and far exceeds the importance of opponent preference modeling techniques. Our results contribute to the shaping of a research agenda for negotiating agent design by providing guidelines on how agent developers can spend their time most effectively.},
1244 location = {Prague},
1245 publisher = {IOS Press},
1246 doi = {10.3233/978-1-61499-419-0-27},
1247 pdf = {pub/The_significance_of_bidding_accepting_and_opponent_modeling_in_automated_negotiation.pdf},
1248 url = {http://ebooks.iospress.nl/volumearticle/36911},
1249}
1250
1251@InProceedings{Baarslag13AAMASDC,
1252 author = {Tim Baarslag},
1253 title = {Designing an Automated Negotiator: Learning What to Bid and when to Stop},
1254 booktitle = {Proceedings of the 2013 International Conference on Autonomous Agents and Multi-agent Systems},
1255 year = {2013},
1256 series = {AAMAS '13},
1257 pages = {1419--1420},
1258 address = {Richland, SC},
1259 publisher = {International Foundation for Autonomous Agents and Multiagent Systems},
1260 abstract = {This paper describes the PhD research topic of the author on designing an automated negotiator. One of the key challenges of designing a successful negotiation agent is that usually only limited information is available about the other party. Therefore, we need to combine various learning techniques to decide what offers to make, and when to accept. The research goal is to investigate techniques for developing a versatile automated negotiator that can effectively conduct negotiations in an incomplete information setting.},
1261 acmid = {2485255},
1262 isbn = {978-1-4503-1993-5},
1263 keywords = {artificial intelligence, machine learning, negotiation},
1264 location = {St. Paul, MN, USA},
1265 numpages = {2},
1266 pdf = {pub/Designing_an_Automated_Negotiator-Learning_What_to_Bid_and_When_to_Stop.pdf},
1267 url = {http://dl.acm.org/citation.cfm?id=2485255},
1268}
1269
1270@INPROCEEDINGS{Baarslag13BNAIC,
1271 author = {Tim Baarslag},
1272 title = {Accepting Optimally in Automated Negotiation with Incomplete Information},
1273 booktitle = {Proceedings of the 25th Benelux Conference on Artificial Intelligence},
1274 year = {2013},
1275 abstract = {When a negotiating agent is presented with an offer by its opponent,
1276 it is faced with a decision: it can accept the offer that is currently
1277 on the table, or it can reject it and continue the negotiation. Both
1278 options involve an inherent risk: continuing the negotiation carries
1279 the risk of forgoing a possibly optimal offer, whereas accepting
1280 runs the risk of missing out on an even better future offer. We approach
1281 the decision of whether to accept as a sequential decision problem,
1282 by modeling the bids received as a stochastic process. We argue that
1283 this is a natural choice in the context of a negotiation with incomplete
1284 information, where the future behavior of the opponent is uncertain.
1285 We determine the optimal acceptance policies for particular opponent
1286 classes and we present an approach to estimate the expected range
1287 of offers when the type of opponent is unknown. We apply our method
1288 against a wide range of opponents, and compare its performance with
1289 acceptance mechanisms of state-of-the-art negotiation strategies.
1290 The experiments show that the proposed approach is able to find the
1291 optimal time to accept, and improves upon widely used existing acceptance
1292 mechanisms.},
1293 url = {http://repository.tudelft.nl/assets/uuid:12968c66-fa56-4a93-b933-708ddd78f7c5/paper_6.pdf}
1294}
1295
1296@Article{Baarslag12ANAC2011,
1297 author = {Tim Baarslag and Katsuhide Fujita and Enrico H. Gerding and Koen V. Hindriks and Takayuki Ito and Nicholas R. Jennings and Catholijn M. Jonker and Sarit Kraus and Raz Lin and Valentin Robu and Colin R. Williams},
1298 title = {Evaluating practical negotiating agents: Results and analysis of the 2011 international competition},
1299 journal = {Artificial Intelligence},
1300 year = {2013},
1301 volume = {198},
1302 pages = {73 - 103},
1303 month = {May},
1304 abstract = {This paper presents an in-depth analysis and the key insights gained
1305 from the Second International Automated Negotiating Agents Competition
1306 (ANAC 2011). ANAC is an international competition that challenges
1307 researchers to develop successful automated negotiation agents for
1308 scenarios where there is no information about the strategies and
1309 preferences of the opponents. The key objectives of this competition
1310 are to advance the state-of-the-art in the area of practical bilateral
1311 multi-issue negotiations, and to encourage the design of agents that
1312 are able to operate effectively across a variety of scenarios. Eighteen
1313 teams from seven different institutes competed. This paper describes
1314 these agents, the setup of the tournament, including the negotiation
1315 scenarios used, and the results of both the qualifying and final
1316 rounds of the tournament. We then go on to analyse the different
1317 strategies and techniques employed by the participants using two
1318 methods: (i) we classify the agents with respect to their concession
1319 behaviour against a set of standard benchmark strategies and (ii)
1320 we employ empirical game theory (EGT) to investigate the robustness
1321 of the strategies. Our analysis of the competition results allows
1322 us to highlight several interesting insights for the broader automated
1323 negotiation community. In particular, we show that the most adaptive
1324 negotiation strategies, while robust across different opponents,
1325 are not necessarily the ones that win the competition. Furthermore,
1326 our EGT analysis highlights the importance of considering metrics,
1327 in addition to utility maximisation (such as the size of the basin
1328 of attraction), in determining what makes a successful and robust
1329 negotiation agent for practical settings.},
1330 acmid = {2480280},
1331 address = {Essex, UK},
1332 doi = {10.1016/j.artint.2012.09.004},
1333 issn = {0004-3702},
1334 issue_date = {May, 2013},
1335 numpages = {31},
1336 pdf = {pub/Evaluating_practical_negotiating_agents-results_and_analysis_of_the_2011_international_competition.pdf},
1337 publisher = {Elsevier Science Publishers Ltd.},
1338 url = {http://dx.doi.org/10.1016/j.artint.2012.09.004},
1339}
1340
1341@ARTICLE{Baarslag12ANAC2011short,
1342 author = {Tim Baarslag and Katsuhide Fujita and Enrico H. Gerding and Koen V.
1343 Hindriks and Takayuki Ito and Nicholas R. Jennings and Catholijn M.
1344 Jonker and Sarit Kraus and Raz Lin and Valentin Robu and Colin R.
1345 Williams},
1346 title = {Evaluating Practical Negotiating Agents: Results and Analysis of the 2011 International Competition},
1347 journal = {Artificial Intelligence},
1348 year = {2013},
1349 abstract = {This paper presents an in-depth analysis and the key insights gained
1350 from the Second International Automated Negotiating Agents Competition
1351 (ANAC 2011). ANAC is an international competition that challenges
1352 researchers to develop successful automated negotiation agents for
1353 scenarios where there is no information about the strategies and
1354 preferences of the opponents. The key objectives of this competition
1355 are to advance the state-of-the-art in the area of practical bilateral
1356 multi-issue negotiations, and to encourage the design of agents that
1357 are able to operate effectively across a variety of scenarios. Eighteen
1358 teams from seven different institutes competed. This paper describes
1359 these agents, the setup of the tournament, including the negotiation
1360 scenarios used, and the results of both the qualifying and final
1361 rounds of the tournament. We then go on to analyse the different
1362 strategies and techniques employed by the participants using two
1363 methods: (i) we classify the agents with respect to their concession
1364 behaviour against a set of standard benchmark strategies and (ii)
1365 we employ empirical game theory (EGT) to investigate the robustness
1366 of the strategies. Our analysis of the competition results allows
1367 us to highlight several interesting insights for the broader automated
1368 negotiation community. In particular, we show that the most adaptive
1369 negotiation strategies, while robust across different opponents,
1370 are not necessarily the ones that win the competition. Furthermore,
1371 our EGT analysis highlights the importance of considering metrics,
1372 in addition to utility maximisation (such as the size of the basin
1373 of attraction), in determining what makes a successful and robust
1374 negotiation agent for practical settings.},
1375 issn = {0004-3702},
1376 owner = {Mark},
1377 timestamp = {2013.04.20}
1378}
1379
1380@InProceedings{Baarslag12AI,
1381 author = {Tim Baarslag and Mark J.C. Hendrikx and Koen V. Hindriks and Catholijn M. Jonker},
1382 title = {Measuring the Performance of Online Opponent Models in Automated Bilateral Negotiation},
1383 booktitle = {AI 2012: Advances in Artificial Intelligence},
1384 year = {2012},
1385 editor = {Michael Thielscher and Dongmo Zhang},
1386 volume = {7691},
1387 series = {Lecture Notes in Computer Science},
1388 pages = {1--14},
1389 publisher = {Springer Berlin Heidelberg},
1390 abstract = {An important aim in bilateral negotiations is to achieve a win-win solution for both parties; therefore, a critical aspect of a negotiating agent's success is its ability to take the opponent's preferences into account. Every year, new negotiation agents are introduced with better learning techniques to model the opponent. Our main goal in this work is to evaluate and compare the performance of a selection of state-of-the-art online opponent modeling techniques in negotiation, and to determine under which circumstances they are beneficial in a real-time, online negotiation setting. Towards this end, we provide an overview of the factors influencing the quality of a model and we analyze how the performance of opponent models depends on the negotiation setting. This results in better insight into the performance of opponent models, and allows us to pinpoint well-performing opponent modeling techniques that did not receive much previous attention in literature.},
1391 doi = {10.1007/978-3-642-35101-3_1},
1392 isbn = {978-3-642-35100-6},
1393 keywords = {Negotiation; Opponent Model Performance; Quality Measures},
1394 location = {Heidelberg},
1395 pdf = {pub/Measuring_the_performance_of_online_opponent_models_in_automated_bilateral_negotiation.pdf},
1396 url = {http://dx.doi.org/10.1007/978-3-642-35101-3_1},
1397}
1398
1399@InProceedings{Baarslag13AITshort,
1400 author = {Baarslag, Tim and Hendrikx, Mark J.C. and Hindriks, Koen V. and Jonker, Catholijn M.},
1401 title = {Predicting the Performance of Opponent Models in Automated Negotiation},
1402 booktitle = {IEEE/WIC/ACM},
1403 year = {2013},
1404 volume = {2},
1405 month = {Nov},
1406 doi = {10.1109/WI-IAT.2013.91},
1407 keywords = {Intelligent agents;Machine learning;Multiagent systems},
1408}
1409
1410@InProceedings{Baarslag13AIT,
1411 author = {Baarslag, Tim and Hendrikx, Mark J.C. and Hindriks, Koen V. and Jonker, Catholijn M.},
1412 title = {Predicting the Performance of Opponent Models in Automated Negotiation},
1413 booktitle = {Proceedings of the 2013 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT)},
1414 series = {WI-IAT '13},
1415 year = {2013},
1416 volume = {2},
1417 pages = {59-66},
1418 numpages = {8},
1419 month = {Nov},
1420 abstract = {When two agents settle a mutual concern by negotiating with each other,they usually do not share their preferences so as to avoid exploitation. In such a setting, the agents may need to analyze each other's behavior to make an estimation of the opponent's preferences. This process of opponent modeling makes it possible to find a satisfying negotiation outcome for both parties. A large number of such opponent modeling techniques have already been introduced, together with different measures to assess their quality. The quality of an opponent model can be measured in two different ways: one is to use the agent's performance as a benchmark for the model's quality, the other is to directly evaluate its accuracy by using similarity measures. Both methods have been used extensively, and both have their distinct advantages and drawbacks. In this work we investigate the exact relation between the two, and we pinpoint the measures for accuracy that best predict performance gain. This leads us to new insights in how to construct an opponent model, and what we need to measure when optimizing performance.},
1421 doi = {10.1109/WI-IAT.2013.91},
1422 url = {http://dx.doi.org/10.1109/WI-IAT.2013.91},
1423 isbn = {978-0-7695-5145-6},
1424 acmid = {2569293},
1425 publisher = {IEEE Computer Society},
1426 address = {Washington, DC, USA},
1427 keywords = {Intelligent agents, Multiagent systems, Machine learning},
1428 pdf = {pub/Predicting_the_performance_of_opponent_models_in_automated_negotiation.pdf},
1429}
1430
1431@InCollection{BaarslagBOA,
1432 author = {Tim Baarslag and Koen V. Hindriks and Mark J.C. Hendrikx and Alex S.Y. Dirkzwager and Catholijn M. Jonker},
1433 title = {Decoupling Negotiating Agents to Explore the Space of Negotiation Strategies},
1434 booktitle = {Novel Insights in Agent-based Complex Automated Negotiation},
1435 publisher = {Springer, Japan},
1436 year = {2014},
1437 editor = {Marsa-Maestre, Ivan and Lopez-Carmona, Miguel A. and Ito, Takayuki and Zhang, Minjie and Bai, Quan and Fujita, Katsuhide},
1438 volume = {535},
1439 series = {Studies in Computational Intelligence},
1440 pages = {61-83},
1441 abstract = {Every year, automated negotiation agents are improving on various
1442 domains. However, given a set of automated negotiation agents, current
1443 methods allow to determine which strategy is best in terms of utility,
1444 but not so much the reason of success. In order to study the performance
1445 of the individual components of a negotiation strategy, we introduce
1446 an architecture that distinguishes three components which together
1447 constitute a negotiation strategy: the bidding strategy, the opponent
1448 model, and the acceptance strategy. Our contribution to the field
1449 of bilateral negotiation is twofold: first, we show that existing
1450 state-of-the-art agents are compatible with this architecture by
1451 re-implementing them in the new framework; secondly, as an application
1452 of our architecture, we systematically explore the space of possible
1453 strategies by recombining different strategy components, resulting
1454 in negotiation strategies that improve upon the current state-of-the-art
1455 in automated negotiation.},
1456 doi = {10.1007/978-4-431-54758-7\_4},
1457 isbn = {978-4-431-54757-0},
1458 keywords = {Acceptance condition; Automated bilateral negotiation; Bidding strategy; BOA architecture; Component-based; Opponent model},
1459 pdf = {pub/Decoupling_Negotiating_Agents_to_Explore_the_Space_of_Negotiation_Strategies.pdf},
1460 url = {http://dx.doi.org/10.1007/978-4-431-54758-7\_4},
1461}
1462
1463@INPROCEEDINGS{Baarslag12ACANshort,
1464 author = {Tim Baarslag and Koen V. Hindriks and Mark J.C. Hendrikx and Alex S.Y. Dirkzwager
1465 and Catholijn M. Jonker},
1466 title = {Decoupling Negotiating Agents to Explore the Space of Negotiation
1467 Strategies},
1468 booktitle = {Proceedings of The Fifth International Workshop on Agent-based Complex
1469 Automated Negotiations (ACAN 2012)},
1470 year = {2012},
1471 abstract = {Every year, automated negotiation agents are improving on various
1472 domains. However, given a set of automated negotiation agents, current
1473 methods allow to determine which strategy is best in terms of utility,
1474 but not so much the reason of success. In order to study the performance
1475 of the individual components of a negotiation strategy, we introduce
1476 an architecture that distinguishes three components which together
1477 constitute a negotiation strategy: the bidding strategy, the opponent
1478 model, and the acceptance strategy. Our contribution to the field
1479 of bilateral negotiation is twofold: first, we show that existing
1480 state-of-the-art agents are compatible with this architecture by
1481 re-implementing them in the new framework; secondly, as an application
1482 of our architecture, we systematically explore the space of possible
1483 strategies by recombining different strategy components, resulting
1484 in negotiation strategies that improve upon the current state-of-the-art
1485 in automated negotiation.}
1486}
1487
1488@INPROCEEDINGS{Baarslag12BNAIC,
1489 author = {Tim Baarslag and Koen V. Hindriks and Mark J.C. Hendrikx and Alex S.Y. Dirkzwager and Catholijn M. Jonker},
1490 title = {Decoupling Negotiating Agents to Explore the Space of Negotiation Strategies},
1491 booktitle = {Proceedings of the 24th Benelux Conference on Artificial Intelligence},
1492 year = {2012},
1493 abstract = {Every year, automated negotiation agents are improving on various
1494 domains. However, given a set of automated negotiation agents, current
1495 methods allow to determine which strategy is best in terms of utility,
1496 but not so much the reason of success. In order to study the performance
1497 of the individual components of a negotiation strategy, we introduce
1498 an architecture that distinguishes three components which together
1499 constitute a negotiation strategy: the bidding strategy, the opponent
1500 model, and the acceptance strategy. Our contribution to the field
1501 of bilateral negotiation is twofold: first, we show that existing
1502 state-of-the-art agents are compatible with this architecture by
1503 re-implementing them in the new framework; secondly, as an application
1504 of our architecture, we systematically explore the space of possible
1505 strategies by recombining different strategy components, resulting
1506 in negotiation strategies that improve upon the current state-of-the-art
1507 in automated negotiation.},
1508 issn = {1568-7805},
1509 url = {http://ii.tudelft.nl/?q=node/7808}
1510}
1511
1512@INPROCEEDINGS{Baarslag13OM,
1513 author = {Baarslag, Tim and Hendrikx, Mark J.C. and Hindriks, Koen V. and Jonker, Catholijn M.},
1514 title = {Predicting the Performance of Opponent Models in Automated Negotiation},
1515 booktitle = {International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT), 2013 IEEE/WIC/ACM},
1516 year = {2013},
1517 volume = {2},
1518 pages = {59-66},
1519 abstract = {When two agents settle a mutual concern by negotiating with each other,
1520 they usually do not share their preferences so as to avoid exploitation.
1521 In such a setting, the agents may need to analyze each other's behavior
1522 to make an estimation of the opponent's preferences. This process
1523 of opponent modeling makes it possible to find a satisfying negotiation
1524 outcome for both parties. A large number of such opponent modeling
1525 techniques have already been introduced, together with different
1526 measures to assess their quality. The quality of an opponent model
1527 can be measured in two different ways: one is to use the agent's
1528 performance as a benchmark for the model's quality, the other is
1529 to directly evaluate its accuracy by using similarity measures. Both
1530 methods have been used extensively, and both have their distinct
1531 advantages and drawbacks. In this work we investigate the exact relation
1532 between the two, and we pinpoint the measures for accuracy that best
1533 predict performance gain. This leads us to new insights in how to
1534 construct an opponent model, and what we need to measure when optimizing
1535 performance.},
1536 doi = {10.1109/WI-IAT.2013.91},
1537 url = {http://dx.doi.org/10.1109/WI-IAT.2013.91},
1538 keywords = {Intelligent agents;Machine learning;Multiagent systems}
1539}
1540
1541@InProceedings{Baarslag12ACAN,
1542 author = {Tim Baarslag and Koen V. Hindriks and Mark J.C. Hendrikx and Alex S.Y. Dirkzwager and Catholijn M. Jonker},
1543 title = {Decoupling Negotiating Agents to Explore the Space of Negotiation Strategies},
1544 booktitle = {Proceedings of The Fifth International Workshop on Agent-based Complex Automated Negotiations (ACAN 2012)},
1545 year = {2012},
1546 abstract = {Every year, automated negotiation agents are improving on various
1547 domains. However, given a set of automated negotiation agents, current
1548 methods allow to determine which strategy is best in terms of utility,
1549 but not so much the reason of success. In order to study the performance
1550 of the individual components of a negotiation strategy, we introduce
1551 an architecture that distinguishes three components which together
1552 constitute a negotiation strategy: the bidding strategy, the opponent
1553 model, and the acceptance strategy. Our contribution to the field
1554 of bilateral negotiation is twofold: first, we show that existing
1555 state-of-the-art agents are compatible with this architecture by
1556 re-implementing them in the new framework; secondly, as an application
1557 of our architecture, we systematically explore the space of possible
1558 strategies by recombining different strategy components, resulting
1559 in negotiation strategies that improve upon the current state-of-the-art
1560 in automated negotiation.},
1561 pdf = {pub/Decoupling_Negotiating_Agents_to_Explore_the_Space_of_Negotiation_Strategies_ACAN_2012.pdf},
1562 url = {http://ii.tudelft.nl/sites/default/files/boa.pdf},
1563}
1564
1565@INPROCEEDINGS{Baarslag11BNAIC,
1566 author = {Tim Baarslag and Koen V. Hindriks and Catholijn M. Jonker},
1567 title = {Acceptance Conditions in Automated Negotiation},
1568 booktitle = {Proceedings of the 23rd Benelux Conference on Artificial Intelligence},
1569 year = {2011},
1570 editor = {Patrick De Causmaecker and Joris Maervoet and Tommy Messelis and Katja Verbeeck and Tim Vermeulen},
1571 pages = {363-365},
1572 attachments = {http://ii.tudelft.nl/sites/default/files/acceptance-mechanisms-extended-abstract.pdf},
1573 journal = {BNAIC 2011},
1574 url = {http://allserv.kahosl.be/bnaic2011/sites/default/files/bnaic2011\_submission\_47.pdf}
1575}
1576
1577@InCollection{ANAC2011Baa,
1578 author = {Baarslag, Tim and Hindriks, Koen V. and Jonker, Catholijn M.},
1579 title = {A Tit for Tat Negotiation Strategy for Real-Time Bilateral Negotiations},
1580 booktitle = {Complex Automated Negotiations: Theories, Models, and Software Competitions},
1581 publisher = {Springer Berlin Heidelberg},
1582 year = {2013},
1583 editor = {Ito, Takayuki and Zhang, Minjie and Robu, Valentin and Matsuo, Tokuro},
1584 volume = {435},
1585 series = {Studies in Computational Intelligence},
1586 pages = {229-233},
1587 abstract = {We describe the strategy of our negotiating agent, Nice Tit for Tat Agent, which reached the finals of the 2011 Automated Negotiating Agent Competition. It uses a Tit for Tat strategy to select its offers in a negotiation, i.e.: initially it cooperates with its opponent, and in the following rounds of negotiation, it responds in kind to the opponent's actions.We give an overview of how to implement such a Tit for Tat strategy and discuss its merits in the setting of closed bilateral negotiation.},
1588 doi = {10.1007/978-3-642-30737-9\_18},
1589 isbn = {978-3-642-30736-2},
1590 pdf = {pub/A_tit_for_tat_negotiation_strategy_for_real-time_bilateral_negotiations.pdf},
1591 url = {http://dx.doi.org/10.1007/978-3-642-30737-9\_18},
1592}
1593
1594@InProceedings{Baarslag11ACAN,
1595 author = {Tim Baarslag and Koen V. Hindriks and Catholijn M. Jonker},
1596 title = {Acceptance Conditions in Automated Negotiation},
1597 booktitle = {Complex Automated Negotiations: Theories, Models, and Software Competitions},
1598 year = {2013},
1599 editor = {Ito, Takayuki and Zhang, Minjie and Robu, Valentin and Matsuo, Tokuro},
1600 volume = {435},
1601 series = {Studies in Computational Intelligence},
1602 pages = {95-111},
1603 publisher = {Springer Berlin Heidelberg},
1604 abstract = {In every negotiation with a deadline, one of the negotiating parties
1605 has to accept an offer to avoid a break off. A break off is usually
1606 an undesirable outcome for both parties, therefore it is important
1607 that a negotiator employs a proficient mechanism to decide under
1608 which conditions to accept. When designing such conditions one is
1609 faced with the acceptance dilemma: accepting the current offer may
1610 be suboptimal, as better offers may still be presented. On the other
1611 hand, accepting too late may prevent an agreement from being reached,
1612 resulting in a break off with no gain for either party. Motivated
1613 by the challenges of bilateral negotiations between automated agents
1614 and by the results and insights of the automated negotiating agents
1615 competition (ANAC), we classify and compare state-of-the-art generic
1616 acceptance conditions. We focus on decoupled acceptance conditions,
1617 i.e. conditions that do not depend on the bidding strategy that is
1618 used. We performed extensive experiments to compare the performance
1619 of acceptance conditions in combination with a broad range of bidding
1620 strategies and negotiation domains. Furthermore we propose new acceptance
1621 conditions and we demonstrate that they outperform the other conditions
1622 that we study. In particular, it is shown that they outperform the
1623 standard acceptance condition of comparing the current offer with
1624 the offer the agent is ready to send out. We also provide insight
1625 in to why some conditions work better than others and investigate
1626 correlations between the properties of the negotiation environment
1627 and the efficacy of acceptance conditions.},
1628 attachments = {http://ii.tudelft.nl/sites/default/files/acceptance-mechanisms.pdf},
1629 doi = {10.1007/978-3-642-30737-9\_6},
1630 isbn = {978-3-642-30736-2},
1631 keyword = {Engineering},
1632 pdf = {pub/Acceptance_conditions_in_automated_negotiation.pdf},
1633 url = {http://dx.doi.org/10.1007/978-3-642-30737-9\_6},
1634}
1635
1636@InProceedings{Baarslag11PRIMA,
1637 author = {Baarslag, Tim and Hindriks, Koen V. and Jonker, Catholijn M.},
1638 title = {Towards a Quantitative Concession-Based Classification Method of Negotiation Strategies},
1639 booktitle = {Agents in Principle, Agents in Practice},
1640 year = {2011},
1641 editor = {Kinny, David and Hsu, Jane Yung-jen and Governatori, Guido and Ghose, Aditya K.},
1642 volume = {7047},
1643 series = {Lecture Notes in Computer Science},
1644 pages = {143--158},
1645 address = {Berlin, Heidelberg},
1646 publisher = {Springer Berlin Heidelberg},
1647 abstract = {In order to successfully reach an agreement in a negotiation, both
1648 parties rely on each other to make concessions. The willingness to
1649 concede also depends in large part on the opponent. A concession
1650 by the opponent may be reciprocated, but the negotiation process
1651 may also be frustrated if the opponent does not concede at all. This
1652 process of concession making is a central theme in many of the classic
1653 and current automated negotiation strategies. In this paper, we present
1654 a quantitative classification method of negotiation strategies that
1655 measures the willingness of an agent to concede against different
1656 types of opponents. The method is then applied to classify some well-known
1657 negotiating strategies, including the agents of ANAC 2010. It is
1658 shown that the technique makes it easy to identify the main characteristics
1659 of negotiation agents, and can be used to group negotiation strategies
1660 into categories with common negotiation characteristics. We also
1661 observe, among other things, that different kinds of opponents call
1662 for a different approach in making concessions.},
1663 doi = {http://dx.doi.org/10.1007/978-3-642-25044-6\_13},
1664 isbn = {978-3-642-25043-9},
1665 keywords = {automated bilateral negotiation, classification, competition, concession, cooperation, negotiation strategy},
1666 location = {Wollongong, Australia},
1667 numpages = {16},
1668 owner = {tim},
1669 pdf = {pub/Towards_a_quantitative_concession-based_classification_method_of_negotiation_strategies.pdf},
1670 url = {http://dx.doi.org/10.1007/978-3-642-25044-6_13},
1671}
1672
1673@INPROCEEDINGS{Bar02,
1674 author = {Bartolini, Claudio and Preist, Chris and Jennings, Nicholas R.},
1675 title = {A generic software framework for automated negotiation},
1676 booktitle = {First International Conference on Autonomous Agent and Multi-Agent
1677 Systems},
1678 year = {2002},
1679 owner = {Mark},
1680 timestamp = {2012.02.05}
1681}
1682
1683@BOOK{Bat88,
1684 title = {Nonlinear regression analysis and its applications},
1685 publisher = {New York. John Wiley and Sons},
1686 year = {1988},
1687 author = {Bates, Douglas M. and Watts, Donald G.},
1688 journal = {Wiley series in probability and mathematical statistics. Applied
1689 probability and statistics},
1690 owner = {---},
1691 timestamp = {2011.07.10}
1692}
1693
1694@INCOLLECTION{Baz92,
1695 author = {Max H. Bazerman and Margaret A. Neale},
1696 title = {Negotiator Rationality and Negotiator Cognition: The InteractiveRoles
1697 of Prescriptive and Descriptive Research},
1698 booktitle = {Negotiation Analysis},
1699 publisher = {The University of Michigan Press},
1700 year = {1992},
1701 editor = {H.P. Young},
1702 pages = {109-130}
1703}
1704
1705@ARTICLE{beam97,
1706 author = {Beam, Carrie and Segev, Arie},
1707 title = {Automated negotiations: A survey of the state of the art},
1708 journal = {Wirtschaftsinformatik},
1709 year = {1997},
1710 volume = {39},
1711 pages = {263--268},
1712 number = {3},
1713 owner = {---},
1714 publisher = {Citeseer},
1715 timestamp = {2011.06.14}
1716}
1717
1718@INPROCEEDINGS{Beh09Predict,
1719 author = {Beheshti, R. and Mozayani, N.},
1720 title = {Predicting Opponents Offers in Multi-agent Negotiations Using ARTMAP
1721 Neural Network},
1722 booktitle = {Proceedings of the 2009 Second International Conference on Future
1723 Information Technology and Management Engineering},
1724 year = {2009},
1725 series = {FITME '09},
1726 pages = {600--603},
1727 address = {Washington, DC, USA},
1728 publisher = {IEEE Computer Society},
1729 acmid = {1725263},
1730 isbn = {978-0-7695-3880-8},
1731 numpages = {4},
1732 owner = {Mark},
1733 timestamp = {2013.02.08}
1734}
1735
1736@INPROCEEDINGS{Beh09Genetic,
1737 author = {Beheshti, R. and Rahmani, A.T.},
1738 title = {A Multi-objective Genetic Algorithm Method to Support Multi-agent
1739 Negotiations},
1740 booktitle = {Proceedings of the 2009 Second International Conference on Future
1741 Information Technology and Management Engineering},
1742 year = {2009},
1743 series = {FITME '09},
1744 pages = {596--599},
1745 acmid = {1725262},
1746 isbn = {978-0-7695-3880-8},
1747 numpages = {4},
1748 owner = {Mark},
1749 timestamp = {2013.02.08}
1750}
1751
1752@ARTICLE{bei03,
1753 author = {Beil, D.R. and Wein, L.M.},
1754 title = {An inverse-optimization-based auction mechanism to support a multiattribute
1755 RFQ process},
1756 journal = {Management Science},
1757 year = {2003},
1758 volume = {49},
1759 pages = {1529-1545}
1760}
1761
1762@INCOLLECTION{ANAC2011Ada,
1763 author = {Ben Adar, Mai and Sofy, Nadav and Elimelech, Avshalom},
1764 title = {Gahboninho: Strategy for Balancing Pressure and Compromise in Automated
1765 Negotiation},
1766 booktitle = {Complex Automated Negotiations: Theories, Models, and Software Competitions},
1767 publisher = {Springer Berlin Heidelberg},
1768 year = {2013},
1769 editor = {Ito, Takayuki and Zhang, Minjie and Robu, Valentin and Matsuo, Tokuro},
1770 volume = {435},
1771 series = {Studies in Computational Intelligence},
1772 pages = {205-208},
1773 doi = {10.1007/978-3-642-30737-9\_13},
1774 isbn = {978-3-642-30736-2},
1775 url = {http://dx.doi.org/10.1007/978-3-642-30737-9\_13}
1776}
1777
1778@INCOLLECTION{ANAC2011Adashort,
1779 author = {Ben Adar, Mai and Sofy, Nadav and Elimelech, Avshalom},
1780 title = {Gahboninho: Strategy for Balancing Pressure and Compromise in Automated
1781 Negotiation},
1782 booktitle = {Complex Automated Negotiations: Theories, Models, and Software Competitions},
1783 publisher = {Springer Berlin Heidelberg},
1784 year = {2013},
1785 pages = {205-208},
1786 doi = {10.1007/978-3-642-30737-9\_13},
1787 isbn = {978-3-642-30736-2},
1788 url = {http://dx.doi.org/10.1007/978-3-642-30737-9\_13}
1789}
1790
1791@MISC{Bic01,
1792 author = {Bichler, M. and Lee, J. and Lee, H.S. and Chung, J.},
1793 title = {ABSolute: An intelligent decision making framework for e-sourcing},
1794 year = {2001},
1795 pages = {195-201}
1796}
1797
1798@ARTICLE{Bin89,
1799 author = {Binmore, Ken and Osborne, Martin J and Rubinstein, Ariel},
1800 title = {Noncooperative models of bargaining},
1801 journal = {Handbook of Game Theory with Economic Applications},
1802 year = {1992},
1803 volume = {1},
1804 pages = {179--225},
1805 owner = {Mark},
1806 publisher = {Elsevier},
1807 timestamp = {2013.02.12}
1808}
1809
1810@BOOK{Bin07,
1811title = {Does Game Theory Work? The Bargaining Challenge},
1812author = {Binmore, Ken},
1813year = {2007},
1814volume = {1},
1815edition = {1},
1816publisher = {The MIT Press},
1817abstract = {This volume brings together all of Ken Binmore's influential experimental papers on bargaining along with newly written commentary in which Binmore discusses the underlying game theory and addresses the criticism leveled at it by behavioral economists. When Binmore began his experimental work in the 1980s, conventional wisdom held that game theory would not work in the laboratory, but Binmore and other pioneers established that game theory can often predict the behavior of experienced players very well in favorable laboratory settings. The case of human bargaining behavior is particularly challenging for game theory. Everyone agrees that human behavior in real-life bargaining situations is governed at least partly by considerations of fairness, but what happens in a laboratory when such fairness considerations supposedly conflict with game-theoretic predictions? Behavioral economists, who emphasize the importance of other-regarding or social preferences, sometimes argue that their findings threaten traditional game theory. Binmore disputes both their interpretations of their findings and their claims about what game theorists think it reasonable to predict. Binmore's findings from two decades of game theory experiments have made a lasting contribution to economics. These papers--some coauthored with other leading economists, including Larry Samuelson, Avner Shaked, and John Sutton--show that game theory does indeed work in favorable laboratory environments, even in the challenging case of bargaining.},
1818keywords = {game theory; bargaining; laboratory experimentation},
1819url = {http://EconPapers.repec.org/RePEc:mtp:titles:0262026074}
1820}
1821
1822
1823
1824@ARTICLE{Bin99,
1825 author = {Binmore, Ken and Vulkan, Nir},
1826 title = {Applying game theory to automated negotiation},
1827 journal = {Netnomics},
1828 year = {1999},
1829 issn={1385-9587},
1830 volume = {1},
1831 pages = {1--9},
1832 number = {1},
1833 owner = {---},
1834publisher={Kluwer Academic Publishers},
1835 doi={10.1023/A:1011489402739},
1836 timestamp = {2011.05.29}
1837}
1838
1839@ARTICLE{Bol00,
1840 author = {Terry L. Boles and Rachel T.A. Croson and J. Keith Murnighan},
1841 title = {Deception and Retribution in Repeated Ultimatum Bargaining},
1842 journal = {Organizational Behavior and Human Decision Processes},
1843 year = {2000},
1844 volume = {83},
1845 pages = {235 - 259},
1846 number = {2},
1847 abstract = {This paper investigates the dynamics of deception and retribution
1848 in repeated ultimatum bargaining. Anonymous dyads exchanged messages
1849 and offers in a series of four ultimatum bargaining games that had
1850 prospects for relatively large monetary outcomes. Variations in each
1851 party's knowledge of the other's resources and alternatives created
1852 opportunities for deception. Revelation of prior unknowns exposed
1853 deceptions and created opportunities for retribution in subsequent
1854 interactions. Results showed that although proposers and responders
1855 chose deceptive strategies almost equally, proposers told more outright
1856 lies. Both were more deceptive when their private information was
1857 never revealed, and proposers were most deceptive when their potential
1858 profits were largest. Revelation of proposers' lies had little effect
1859 on their subsequent behavior even though responders rejected their
1860 offers more than similar offers from truthful proposers or proposers
1861 whose prior deceit was never revealed. The discussion and conclusions
1862 address the dynamics of deception and retribution in repeated bargaining
1863 interactions.},
1864 doi = {http://dx.doi.org/10.1006/obhd.2000.2908},
1865 issn = {0749-5978},
1866 url = {http://www.sciencedirect.com/science/article/pii/S074959780092908X}
1867}
1868
1869@ARTICLE{Bol91,
1870 author = {G. Bolton},
1871 title = {A comparative model of bargaining: Theory and evidence},
1872 journal = {American Economic Review},
1873 year = {1989},
1874 volume = {81},
1875 pages = {1096-1136},
1876 number = {5}
1877}
1878
1879@INPROCEEDINGS{Bos04,
1880 author = {Bosse, Tibor and Jonker, Catholijn M. and Treur, Jan},
1881 title = {Experiments in human multi-issue negotiation: Analysis and support},
1882 booktitle = {Proceedings of the Third International Joint Conference on Autonomous
1883 Agents and Multiagent Systems},
1884 year = {2004},
1885 volume = {2},
1886 pages = {671--678},
1887 organization = {IEEE Computer Society},
1888 owner = {---},
1889 timestamp = {2011.05.22}
1890}
1891
1892@INPROCEEDINGS{Bos05,
1893 author = {Bosse, Tibor and Jonker, Catholijn M.},
1894 title = {Human vs. Computer Behaviour in Multi-Issue Negotiation},
1895 booktitle = {Proceedings of the Rational, Robust, and Secure Negotiation Mechanisms
1896 in Multi-Agent Systems},
1897 year = {2005},
1898 month={Jul},
1899 series = {RRS '05},
1900 pages = {11--24},
1901 address = {Washington, DC, USA},
1902 publisher = {IEEE Computer Society},
1903 acmid = {1115279},
1904 doi = {10.1109/RRS.2005.8},
1905 isbn = {0-7695-2480-X},
1906 url = {http://dx.doi.org/10.1109/RRS.2005.8}
1907}
1908
1909@INCOLLECTION{Bos05System,
1910author={Bosse, Tibor and Jonker, Catholijn M. and van der Meij, Lourens and Robu, Valentin and Treur, Jan},
1911 title = {A System for Analysis of Multi-Issue Negotiation},
1912 booktitle = {Software Agent-Based Applications, Platforms and Development Kits},
1913 publisher = {Birkh\"{o}user Basel},
1914 year = {2005},
1915 editor = {Unland, Rainer and Calisti, Monique and Klusch, Matthias},
1916 series = {Whitestein Series in Software Agent Technologies},
1917 pages = {253-279},
1918 doi = {10.1007/3-7643-7348-2\_11},
1919 isbn = {978-3-7643-7347-4},
1920 owner = {Mark},
1921 timestamp = {2013.02.12},
1922 url = {http://dx.doi.org/10.1007/3-7643-7348-2\_11}
1923}
1924
1925@ARTICLE{Bos08,
1926 author = {Bosse, Tibor and Jonker, Catholijn M. and van der Meij, Lourens and
1927 Treur, Jan},
1928 title = {Automated formal analysis of human multi-issue negotiation processes},
1929 journal = {Multiagent and Grid Systems},
1930 year = {2008},
1931 volume = {4},
1932 pages = {213--233},
1933 number = {2},
1934 month = {Apr},
1935 acmid = {1402622},
1936 address = {Amsterdam, The Netherlands, The Netherlands},
1937 issn = {1574-1702},
1938 keywords = {Multi-issue negotiation, formal analysis, human, tool},
1939 numpages = {21},
1940 publisher = {IOS Press},
1941 url = {http://dl.acm.org/citation.cfm?id=1402618.1402622}
1942}
1943
1944@ARTICLE{Bou04,
1945 author = {Boutilier, Craig and Brafman, Ronen I. and Domshlak, Carmel and Hoos, Holger H. and Poole, David},
1946 title = {{CP}-nets: A tool for representing and reasoning with conditional ceteris
1947 paribus preference statements},
1948 journal = {Journal of Artificial Intelligence Research},
1949 year = {2004},
1950 month = {Feb},
1951 volume = {21},
1952 pages = {135--191},
1953 issn = {1076-9757},
1954 publisher = {AI Access Foundation},
1955 address = {USA},
1956 abstract = {In many domains it is desirable to assess the preferences of users
1957 in a qualitative rather than quantitative way. Useful representations
1958 of qualitative preference orderings form an important component of
1959 automated decision tools. We propose a graphical representation of
1960 preferences that reflects conditional dependence and independence
1961 of preference statements under a ceteris paribus (all else being
1962 equal) interpretation. Such a representation is often compact and
1963 arguably quite natural in many circumstances. We provide a formal
1964 semantics for this model, and describe how the structure of the network
1965 can be exploited in several inference tasks, such as determining
1966 whether one outcome dominates (is preferred to) another, ordering
1967 a set outcomes according to the preference relation, and constructing
1968 the best outcome subject to available evidence.},
1969 citeulike-article-id = {3920707},
1970 citeulike-linkout-0 = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.12.3759},
1971 keywords = {utility\_representation},
1972 owner = {tim},
1973 posted-at = {2009-01-21 18:31:02},
1974 priority = {3},
1975 timestamp = {2010.07.01},
1976 url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.12.3759}
1977}
1978
1979@ARTICLE{bra04,
1980 author = {Brafman, R.I. and Tennenholtz, M.},
1981 title = {Efficient learning equilibrium},
1982 journal = {Artificial Intelligence},
1983 year = {2004},
1984 volume = {159},
1985 pages = {27-48},
1986 number = {1}
1987}
1988
1989@INPROCEEDINGS{Bra07,
1990 author = {Brandt, F. and Sandholm, T. and Shoham, Y.},
1991 title = {Spiteful bidding in sealed-bid auctions},
1992 booktitle = {Proc. of Twentieth International Joint Conference on Artificial Intelligence},
1993 year = {2007},
1994 pages = {1207-1214}
1995}
1996
1997@INCOLLECTION{Bra06,
1998 author = {Braun, Peter and Brzostowski, Jakub and Kersten, Gregory E. and Kim,
1999 Jin Baek and Kowalczyk, Ryszard and Strecker, Stefan and Vahidov,
2000 Rustam M.},
2001 title = {e-Negotiation Systems and Software Agents: Methods, Models, and Applications},
2002 booktitle = {Intelligent Decision-making Support Systems},
2003 publisher = {Springer London},
2004 year = {2006},
2005 series = {Decision Engineering},
2006 pages = {271-300},
2007 doi = {10.1007/1-84628-231-4\_15},
2008 isbn = {978-1-84628-228-7},
2009 owner = {Mark},
2010 timestamp = {2013.06.01},
2011 url = {http://dx.doi.org/10.1007/1-84628-231-4\_15}
2012}
2013
2014@ARTICLE{Bra97,
2015 author = {Brazier, Frances M.T. and Dunin-Keplicz, Barbara M. and Jennings, Nicholas R. and Treur,
2016 Jan},
2017 title = {Formal Specification of Multi-Agent Systems: a Real World Case},
2018 journal = {International Journal of Co-operative Information Systems, IJCIS},
2019 year = {1997},
2020 volume = {6(1)},
2021 pages = {67-94}
2022}
2023
2024@ARTICLE{Bra08,
2025 author = {Darius Braziunas and Craig Boutilier},
2026 title = {Elicitation of Factored Utilities},
2027 journal = {AI Magazine},
2028 year = {2008},
2029 volume = {29},
2030 pages = {79-92},
2031 number = {4},
2032 bibsource = {DBLP, http://dblp.uni-trier.de},
2033 ee = {http://www.aaai.org/ojs/index.php/aimagazine/article/view/2203}
2034}
2035
2036@ARTICLE{Bro10,
2037 author = {Broekens, Joost and Jonker, Catholijn M. and Meyer, John-Jules Ch.},
2038 title = {Affective Negotiation Support Systems},
2039 journal = {Journal of Ambient Intelligence and Smart Environments},
2040 year = {2010},
2041 volume = {2},
2042 pages = {121--144},
2043 number = {2},
2044 month = {Apr},
2045 acmid = {1804779},
2046 address = {Amsterdam, The Netherlands},
2047 issn = {1876-1364},
2048 issue_date = {April 2010},
2049 keywords = {Affect, affective computing, negotiation, negotiation support systems,
2050 review},
2051 numpages = {24},
2052 publisher = {IOS Press},
2053 url = {http://dl.acm.org/citation.cfm?id=1804772.1804779}
2054}
2055
2056@INCOLLECTION{Brz05,
2057 author = {Brzostowski, Jakub and Kowalczyk, Ryszard},
2058 title = {Modelling partner's behaviour in agent negotiation},
2059 booktitle = {AI 2005: Advances in Artificial Intelligence},
2060 publisher = {Springer Berlin Heidelberg},
2061 year = {2005},
2062 editor = {Zhang, Shichao and Jarvis, Ray},
2063 volume = {3809},
2064 series = {Lecture Notes in Computer Science},
2065 pages = {653-663},
2066 doi = {10.1007/11589990\_68},
2067 isbn = {978-3-540-30462-3},
2068 owner = {Mark},
2069 timestamp = {2013.02.12},
2070 url = {http://dx.doi.org/10.1007/11589990\_68}
2071}
2072
2073@INPROCEEDINGS{Brz06,
2074 author = {Brzostowski, Jakub and Kowalczyk, Ryszard},
2075 title = {Adaptive Negotiation with On-Line Prediction of Opponent Behaviour
2076 in Agent-Based Negotiations},
2077 booktitle = {Proceedings of the IEEE/WIC/ACM international conference on Intelligent
2078 Agent Technology},
2079 year = {2006},
2080 series = {IAT '06},
2081 pages = {263--269},
2082 address = {Washington, DC, USA},
2083 publisher = {IEEE Computer Society},
2084 acmid = {1194557},
2085 doi = {10.1109/IAT.2006.26},
2086 isbn = {0-7695-2748-5},
2087 numpages = {7},
2088 url = {http://dx.doi.org/10.1109/IAT.2006.26}
2089}
2090
2091@INPROCEEDINGS{Brz06Predicting,
2092 author = {Brzostowski, Jakub and Kowalczyk, Ryszard},
2093 title = {Predicting partner's behaviour in agent negotiation},
2094 booktitle = {Proceedings of the fifth international joint conference on Autonomous
2095agents and multiagent systems},
2096series = {AAMAS '06},
2097isbn = {1-59593-303-4},
2098 location = {Hakodate, Japan},
2099 doi = {10.1145/1160633.1160697},
2100 year = {2006},
2101 pages = {355--361},
2102 publisher = {ACM},
2103 address = {New York, NY, USA},
2104 owner = {---},
2105 timestamp = {2011.07.03}
2106}
2107
2108@ARTICLE{Bus08,
2109 author = {Lucian Bu\c{s}oniu and Robert Babu\v{s}ka and Bart De Schutter},
2110 title = {A Comprehensive Survey of Multiagent Reinforcement Learning},
2111 journal = {IEEE Transactions on Systems, Man, and Cybernetics Part C: Applications
2112 and Reviews},
2113 year = {2008},
2114 volume = {38},
2115 pages = {156--172},
2116 number = {2},
2117 owner = {Mark},
2118 timestamp = {2013.02.08}
2119}
2120
2121@INPROCEEDINGS{Buf06,
2122 author = {Buffett, Scott and Comeau, Luc and Spencer, Bruce and Fleming, Michael W.},
2123 title = {Detecting opponent concessions in multi-issue automated negotiation},
2124 booktitle = {Proceedings of the 8th international conference on Electronic commerce:
2125 The new e-commerce: innovations for conquering current barriers,
2126 obstacles and limitations to conducting successful business on the
2127 internet},
2128 year = {2006},
2129 series = {ICEC '06},
2130 pages = {11--18},
2131 address = {New York, NY, USA},
2132 publisher = {ACM},
2133 acmid = {1151472},
2134 doi = {10.1145/1151454.1151472},
2135 isbn = {1-59593-392-1},
2136 keywords = {automated negotiation, learning, multi-issue negotiation, negotiation
2137 protocols, negotiation strategies, preferences},
2138 location = {Fredericton, New Brunswick, Canada},
2139 numpages = {8},
2140 url = {http://doi.acm.org/10.1145/1151454.1151472}
2141}
2142
2143@ARTICLE{Buf07,
2144 author = {Scott Buffett and Bruce Spencer},
2145 title = {A Bayesian classifier for learning opponents' preferences in multi-object automated negotiation},
2146 journal = {Electronic Commerce Research and Applications },
2147 year = {2007},
2148 volume = {6},
2149 pages = {274 - 284},
2150 number = {3},
2151 doi = {http://dx.doi.org/10.1016/j.elerap.2006.06.008},
2152 issn = {1567-4223},
2153 keywords = {Automated negotiation},
2154 url = {http://www.sciencedirect.com/science/article/pii/S1567422306000445}
2155}
2156
2157@INPROCEEDINGS{Buf05,
2158 author = {Buffett, Scott and Spencer, Bruce},
2159 title = {Learning opponents' preferences in multi-object automated negotiation},
2160 booktitle = {Proceedings of the 7th international conference on Electronic commerce},
2161 year = {2005},
2162 series = {ICEC '05},
2163 pages = {300--305},
2164 address = {New York, NY, USA},
2165 publisher = {ACM},
2166 acmid = {1089608},
2167 doi = {10.1145/1089551.1089608},
2168 isbn = {1-59593-112-0},
2169 keywords = {Bayesian classification, automated negotiation, multi-issue, preference
2170 elicitation, utility},
2171 location = {Xi'an, China},
2172 numpages = {6},
2173 url = {http://doi.acm.org/10.1145/1089551.1089608}
2174}
2175
2176@TECHREPORT{Bui95,
2177 author = {Bui, Hung Hai and Venkatesh, Svetha and Kieronska, Dorota H.},
2178 title = {An architecture for negotiating agents that learn},
2179 institution = {Department of Computer Science, Curtin University of Technology,
2180 Perth, Australia},
2181 year = {1995},
2182 month = {Jul},
2183 owner = {---},
2184 publisher = {Citeseer},
2185 timestamp = {2011.07.03}
2186}
2187
2188@ARTICLE{Bui99,
2189 author = {Bui, Hung Hai and Venkatesh, Svetha and Kieronska, Dorota H.},
2190 title = {Learning Other Agents' Preferences in Multi-agent Negotiation using
2191 the Bayesian Classifier},
2192 journal = {International Journal of Cooperative Information Systems},
2193 year = {1999},
2194 volume = {8},
2195 pages = {273--293},
2196 number = {4},
2197 owner = {Mark},
2198 timestamp = {2013.02.08}
2199}
2200
2201@ARTICLE{Bul96,
2202 author = {Bulow, Jeremy and Klemperer, Paul},
2203 title = {Auctions Versus Negotiations},
2204 journal = {The American Economic Review},
2205 year = {1996},
2206 volume = {86},
2207 pages = {180-194},
2208 number = {1}
2209}
2210
2211@INPROCEEDINGS{Cao09,
2212 author = {Jin-Gang Cao},
2213 title = {Research on electronic commerce automated negotiation in multi-agent
2214 system based on reinforcement learning},
2215 booktitle = {2009 International Conference on Machine Learning and Cybernetics},
2216 year = {2009},
2217 pages = {1419--1423},
2218 owner = {Mark},
2219 timestamp = {2013.02.08}
2220}
2221
2222@article{Car10,
2223 author = {Carbonneau, R{\'e}al Andr{\'e} and Kersten, Gregory E. and Vahidov, Rustam M.},
2224 title = {Pairwise Issue Modeling for Negotiation Counteroffer Prediction Using Neural Networks},
2225 journal = {Decision Support Systems},
2226 issue_date = {January, 2011},
2227 volume = {50},
2228 number = {2},
2229 month = {Jan},
2230 year = {2011},
2231 issn = {0167-9236},
2232 pages = {449--459},
2233 numpages = {11},
2234 url = {http://dx.doi.org/10.1016/j.dss.2010.11.002},
2235 doi = {10.1016/j.dss.2010.11.002},
2236 acmid = {1899624},
2237 publisher = {Elsevier Science Publishers B. V.},
2238 address = {Amsterdam, The Netherlands, The Netherlands},
2239 keywords = {Counteroffer prediction, Electronic negotiations, Neural networks, Offer optimization, Opponent modeling, Pairwise analysis},
2240}
2241
2242@inproceedings{Car14,
2243 title={What's Next? {Predicting} the Issue a Negotiator Would Choose to Concede On},
2244 author={Carbonneau, R{\'e}al Andr{\'e} and Vahidov, Rustam M.},
2245 booktitle={Group Decision and Negotiation 2014: Proceedings of the Joint International Conference of the INFORMS GDN Section and the EURO Working Group on DSS},
2246 pages={52},
2247 year={2014},
2248 organization={EWG-DSS}
2249}
2250
2251
2252@article{Car08,
2253 author = {Carbonneau, R{\'e}al Andr{\'e} and Kersten, Gregory E. and Vahidov, Rustam M.},
2254 title = {Predicting Opponent's Moves in Electronic Negotiations Using Neural Networks},
2255 journal = {Expert Systems with Applications},
2256 issue_date = {February, 2008},
2257 volume = {34},
2258 number = {2},
2259 month = {Feb},
2260 year = {2008},
2261 issn = {0957-4174},
2262 pages = {1266--1273},
2263 numpages = {8},
2264 url = {http://dx.doi.org/10.1016/j.eswa.2006.12.027},
2265 doi = {10.1016/j.eswa.2006.12.027},
2266 acmid = {1322792},
2267 publisher = {Pergamon Press, Inc.},
2268 address = {Tarrytown, NY, USA},
2269 keywords = {Counter-offer prediction, Electronic negotiations, Neural networks, Offer optimization, Opponent modeling},
2270}
2271
2272@ARTICLE{Car86,
2273 author = {Carnevale, Peter J.D. and Lawler, Edward J.},
2274 title = {Time Pressure and the Development of Integrative Agreements in Bilateral Negotiations},
2275 journal = {The Journal of Conflict Resolution},
2276 year = {1986},
2277 volume = {30},
2278 pages = {636-659},
2279 number = {4},
2280 abstract = {A laboratory experiment examined the effects of time pressure on the
2281 process and outcome of integrative bargaining. Time pressure was
2282 operationalized in terms of the amount of time available to negotiate.
2283 As hypothesized, high time pressure produced nonagreements and poor
2284 negotiation outcomes only when negotiators adopted an individualistic
2285 orientation; when negotiators adopted a cooperative orientation,
2286 they achieved high outcomes regardless of time pressure. In combination
2287 with an individualistic orientation, time pressure produced greater
2288 competitiveness, firm negotiator aspirations, and reduced information
2289 exchange. In combination with a cooperative orientation, time pressure
2290 produced greater cooperativeness and lower negotiator aspirations.
2291 The main findings were seen as consistent with Pruitt's strategic-choice
2292 model of negotiation.},
2293 copyright = {Copyright 1986 Sage Publications, Inc.},
2294 issn = {00220027},
2295 jstor_articletype = {research-article},
2296 jstor_formatteddate = {Dec., 1986},
2297 language = {English},
2298 owner = {tim},
2299 publisher = {Sage Publications, Inc.},
2300 timestamp = {2011.03.11},
2301 url = {http://www.jstor.org/stable/174079}
2302}
2303
2304@incollection{Car93,
2305booktitle={Time Pressure and Stress in Human Judgment and Decision Making},
2306author={Carnevale, Peter J.D. and O'Connor, Kathleen M. and McCusker, Christopher},
2307year={1993},
2308isbn={978-1-4419-3233-4},
2309editor={Svenson, Ola and Maule, Alexander John},
2310doi={10.1007/978-1-4757-6846-6_8},
2311title={Time Pressure in Negotiation and Mediation},
2312url={http://dx.doi.org/10.1007/978-1-4757-6846-6_8},
2313publisher={Springer US},
2314pages={117-127},
2315language={English}
2316}
2317
2318@INPROCEEDINGS{Cha01,
2319 author = {Chajewska, U. and Koller, D. and Ormoneit, D.},
2320 title = {Learning an Agent's Utility Function by Observing Behavior},
2321 booktitle = {Proceedings of the Eighteenth International Conference on Machine
2322 Learning},
2323 year = {2001},
2324 pages = {35--42},
2325 organization = {Morgan Kaufmann Publishers Inc.},
2326 owner = {Mark},
2327 timestamp = {2013.02.09}
2328}
2329
2330@ARTICLE{Cha83,
2331 author = {Chatterjee, Kalyan and Samuelson, William},
2332 title = {Bargaining under Incomplete Information},
2333 journal = {Operations Research},
2334 year = {1983},
2335 volume = {31},
2336 pages = {835--851},
2337 number = {5},
2338 abstract = {This paper presents and analyzes a bargaining model of bilateral monopoly
2339 under uncertainty. Under the bargaining rule proposed, the buyer
2340 and the seller each submit sealed offers that determine whether the
2341 good in question is sold and the transfer price. The Nash equilibrium
2342 solution of this bargaining game implies an offer strategy of each
2343 party that is monotonic in its own reservation price and depends
2344 on its assessment of the opponent's reservation price. Issues of
2345 relative bargaining advantage and efficiency are examined for a number
2346 of special cases. Finally, we discuss the appropriateness of the
2347 Nash solution concept.},
2348 copyright = {Copyright 1983 INFORMS},
2349 issn = {0030364X},
2350 jstor_articletype = {primary article},
2351 jstor_formatteddate = {Sep. - Oct., 1983},
2352 owner = {tim},
2353 publisher = {INFORMS},
2354 timestamp = {2010.04.01},
2355 url = {http://www.jstor.org/stable/170889}
2356}
2357
2358@article{Cha14,
2359year={1996},
2360issn={0926-2644},
2361journal={Group Decision and Negotiation},
2362volume={5},
2363number={4-6},
2364doi={10.1007/BF00553908},
2365title={Game theory and the practice of bargaining},
2366url={http://dx.doi.org/10.1007/BF00553908},
2367publisher={Kluwer Academic Publishers},
2368keywords={game theory; bargaining; negotiation analysis},
2369author={Chatterjee, Kalyan},
2370pages={355-369},
2371language={English}
2372}
2373
2374@ARTICLE{che93,
2375 author = {Che, Y.K.},
2376 title = {Design competition through multidimensional auctions},
2377 journal = {RAND Journal of Economics},
2378 year = {1993},
2379 volume = {24},
2380 pages = {668-680},
2381 number = {4}
2382}
2383
2384@ARTICLE{Che04,
2385 author = {Chen, C.W.},
2386 title = {Develop a negotiation estimation strategy for multi-issue negotiation},
2387 journal = {Industrial Engineering},
2388 year = {2004},
2389 owner = {Mark},
2390 timestamp = {2013.01.25}
2391}
2392
2393@INPROCEEDINGS{Chen02,
2394 author = {Chen, Jen-Hsiang and Chao, Kuo-Ming and Godwin, Nick and Reeves, Colin and Smith, Peter},
2395 title = {An automated negotiation mechanism based on co-evolution and game theory},
2396 booktitle = {Proceedings of the 2002 ACM symposium on Applied computing},
2397 year = {2002},
2398 series = {SAC '02},
2399 pages = {63--67},
2400 address = {New York, NY, USA},
2401 publisher = {ACM},
2402 acmid = {508805},
2403 doi = {10.1145/508791.508805},
2404 isbn = {1-58113-445-2},
2405 keywords = {game theory, genetic algorithm, no fear of deviation, prisoner dilemma},
2406 location = {Madrid, Spain},
2407 numpages = {5},
2408 url = {http://doi.acm.org/10.1145/508791.508805}
2409}
2410
2411@TECHREPORT{Che04Elicitation,
2412 author = {Li Chen and Pearl Pu},
2413 title = {Survey of Preference Elicitation Methods},
2414 institution = {Ecole Politechnique Federale de Lausanne (EPFL), IC/2004/67},
2415 year = {2004},
2416 owner = {Mark},
2417 timestamp = {2013.02.12}
2418}
2419
2420@INPROCEEDINGS{Hai13,
2421 author = {Siqi Chen and Haitham Bou Ammar and Kurt Driessens and Karl Tuyls and Gerhard Weiss},
2422 title = {Automatic Transfer Between Negotiation Tasks},
2423 booktitle = {Proceedings of the Adaptive Learning Agents (ALA) at International
2424 Conference on Autonomous Agents and Multi Agent Systems (AAMAS)},
2425 year = {2013},
2426 address = {Minnesota, USA}
2427}
2428
2429@INPROCEEDINGS{Chen13,
2430 author = {Chen, Siqi and Ammar, Haitham Bou and Tuyls, Karl and Weiss, Gerhard},
2431 title = {Optimizing Complex Automated Negotiation Using Sparse Pseudo-input Gaussian Processes},
2432 booktitle = {Proceedings of the 2013 International Conference on Autonomous Agents and Multi-agent Systems},
2433 year = {2013},
2434 series = {AAMAS '13},
2435 pages = {707--714},
2436 address = {Richland, SC},
2437 publisher = {International Foundation for Autonomous Agents and Multiagent Systems},
2438 acmid = {2485032},
2439 isbn = {978-1-4503-1993-5},
2440 keywords = {automated multi-issue negotiation, empirical game theory, multi-agent
2441 systems, opponent modeling, sparse gaussian process},
2442 location = {St. Paul, MN, USA},
2443 numpages = {8},
2444 url = {http://dl.acm.org/citation.cfm?id=2484920.2485032}
2445}
2446
2447@incollection{Chen14,
2448 title={Evaluating practical automated negotiation based on spatial evolutionary game theory},
2449 author={Chen, Siqi and Hao, Jianye and Weiss, Gerhard and Tuyls, Karl and Leung, {Ho-fung}},
2450booktitle={KI 2014: Advances in Artificial Intelligence},
2451volume={8736},
2452series={Lecture Notes in Computer Science},
2453editor={Lutz, Carsten and Thielscher, Michael},
2454pages={147--158},
2455 year={2014},
2456 doi={10.1007/978-3-319-11206-0_15},
2457 url={http://dx.doi.org/10.1007/978-3-319-11206-0_15},
2458publisher={Springer International Publishing},
2459 isbn={978-3-319-11205-3}
2460}
2461
2462@INPROCEEDINGS{Hai12,
2463 author = {Siqi Chen and Haitham Bou Ammar and Karl Tuyls and Gerhard Weiss},
2464 title = {Transfer Learning for Bilateral Multi Issue Negotiation},
2465 booktitle = {Proceedings of the Benelux Conference on Artificial Intelligence (BNAIC)},
2466 year = {2012},
2467 address = {Maastricht, The Netherlands}
2468}
2469
2470@INPROCEEDINGS{Che12OMAC,
2471 author = {Chen, Siqi and Weiss, Gerhard},
2472 title = {An Efficient and Adaptive Approach to Negotiation in Complex Environments},
2473 booktitle = {ECAI},
2474 year = {2012},
2475 editor = {Raedt, Luc De and Bessiere, Christian and Dubois, Didier and Doherty,
2476 Patrick and Frasconi, Paolo and Heintz, Fredrik and Lucas, Peter J.F.},
2477 volume = {242},
2478 series = {Frontiers in Artificial Intelligence and Applications},
2479 pages = {228-233},
2480 publisher = {IOS Press},
2481 added-at = {2012-09-06T00:00:00.000+0200},
2482 biburl = {http://www.bibsonomy.org/bibtex/28f3e1fd201065920b9a2dc5f8f2acd77/dblp},
2483 ee = {http://dx.doi.org/10.3233/978-1-61499-098-7-228},
2484 interhash = {0112ddb6c6508e734f8821d86681969e},
2485 intrahash = {8f3e1fd201065920b9a2dc5f8f2acd77},
2486 isbn = {978-1-61499-097-0},
2487 keywords = {dblp},
2488 timestamp = {2012-09-06T00:00:00.000+0200},
2489 url = {http://dblp.uni-trier.de/db/conf/ecai/ecai2012.html#ChenW12}
2490}
2491
2492@incollection{Che12OMACAgent,
2493 year={2014},
2494 isbn={978-4-431-54757-0},
2495 booktitle={Novel Insights in Agent-based Complex Automated Negotiation},
2496 volume={535},
2497 series={Studies in Computational Intelligence},
2498 editor={Marsa-Maestre, Ivan and Lopez-Carmona, Miguel A. and Ito, Takayuki and Zhang, Minjie and Bai, Quan and Fujita, Katsuhide},
2499 doi={10.1007/978-4-431-54758-7_13},
2500 title={{OMAC}: A Discrete Wavelet Transformation Based Negotiation Agent},
2501 url={http://dx.doi.org/10.1007/978-4-431-54758-7_13},
2502 publisher={Springer Japan},
2503 keywords={Automated multi-issue negotiation; Discrete wavelet transformation; Opponent modeling},
2504 author={Chen, Siqi and Weiss, Gerhard},
2505 pages={187-196},
2506 language={English}
2507}
2508
2509@INCOLLECTION{Che12,
2510 author = {Chen, Siqi and Weiss, Gerhard},
2511 title = {A Novel Strategy for Efficient Negotiation in Complex Environments},
2512 booktitle = {Multiagent System Technologies},
2513 publisher = {Springer Berlin Heidelberg},
2514 year = {2012},
2515 editor = {Timm, Ingo J. and Guttmann, Christian},
2516 volume = {7598},
2517 series = {Lecture Notes in Computer Science},
2518 pages = {68-82},
2519 doi = {10.1007/978-3-642-33690-4\_8},
2520 isbn = {978-3-642-33689-8},
2521 owner = {Mark},
2522 timestamp = {2013.02.12},
2523 url = {http://dx.doi.org/10.1007/978-3-642-33690-4\_8}
2524}
2525
2526@ARTICLE{Che13Strategy,
2527 author = {Siqi Chen and Gerhard Weiss},
2528 title = {An efficient automated negotiation strategy for complex environments
2529 },
2530 journal = {Engineering Applications of Artificial Intelligence },
2531 year = {2013},
2532 doi = {http://dx.doi.org/10.1016/j.engappai.2013.08.012},
2533 issn = {0952-1976},
2534 url = {http://www.sciencedirect.com/science/article/pii/S0952197613001693}
2535}
2536
2537@ARTICLE{Che06,
2538 author = {Chi-Bin Cheng and Chu-Chai Henry Chan and Kun-Cheng Lin},
2539 title = {Intelligent agents for e-marketplace: Negotiation with issue trade-offs
2540 by fuzzy inference systems},
2541 journal = {Decision Support Systems},
2542 year = {2006},
2543 volume = {42},
2544 pages = {626 - 638},
2545 number = {2},
2546 abstract = {Automated negotiation by autonomous agents has become increasingly
2547 important since the advent of e-marketplace. In this study, automated
2548 negotiation is viewed as a search process in which negotiators jointly
2549 search for a mutually acceptable contract in a multidimensional space
2550 formed by negotiable issues. This search is formulated as a multiple-objective
2551 decision making problem and is solved through an iterative process
2552 of generating offers by fuzzy inference systems. These fuzzy inference
2553 systems serve as a search heuristic and are formulated based on the
2554 strategy of issue trade-offs. Five experiments are conducted to evaluate
2555 the performance of the proposed automated negotiation algorithm.},
2556 doi = {10.1016/j.dss.2005.02.009},
2557 issn = {0167-9236},
2558 keywords = {Automated negotiation},
2559 owner = {tim},
2560 timestamp = {2012.02.14},
2561 url = {http://www.sciencedirect.com/science/article/pii/S0167923605000527}
2562}
2563
2564@ARTICLE{Cho01,
2565 author = {Samuel P.M. Choi and Jiming Liu and Sheung-Ping Chan},
2566 title = {A genetic agent-based negotiation system},
2567 journal = {Computer Networks},
2568 year = {2001},
2569 volume = {37},
2570 pages = {195 - 204},
2571 number = {2},
2572 issn = {1389-1286},
2573 owner = {Mark},
2574 timestamp = {2013.02.08}
2575}
2576
2577@INPROCEEDINGS{Cle03,
2578 author = {Clement, Bradley J. and Barrett, Anthony C.},
2579 title = {Continual coordination through shared activities},
2580 booktitle = {Proceedings of the second international joint conference on Autonomous
2581 agents and multiagent systems},
2582 year = {2003},
2583 series = {AAMAS '03},
2584 pages = {57--64},
2585 address = {New York, NY, USA},
2586 publisher = {ACM},
2587 acmid = {860585},
2588 doi = {10.1145/860575.860585},
2589 isbn = {1-58113-683-8},
2590 keywords = {communication protocols, coordination, multiagent planning},
2591 location = {Melbourne, Australia},
2592 numpages = {8},
2593 url = {http://doi.acm.org/10.1145/860575.860585}
2594}
2595
2596@INPROCEEDINGS{Coe02,
2597 author = {Coe, Robert},
2598 title = {It's the effect size, stupid: What effect size is and why it is important},
2599 booktitle = {British Educational Research Association Conference},
2600 year = {2002},
2601 publisher = {Education-line}
2602}
2603
2604@INPROCEEDINGS{Coe04,
2605 author = {Coehoorn, Robert M. and Jennings, Nicholas R.},
2606 title = {Learning an opponent's preferences to make effective multi-issue negotiation trade-offs},
2607 booktitle = {Proceedings of the 6th international conference on Electronic commerce},
2608 year = {2004},
2609 series = {ICEC '04},
2610 pages = {59--68},
2611 address = {New York, NY, USA},
2612 publisher = {ACM},
2613 acmid = {1052229},
2614 doi = {10.1145/1052220.1052229},
2615 isbn = {1-58113-930-6},
2616 location = {Delft, The Netherlands},
2617 numpages = {10},
2618 url = {http://doi.acm.org/10.1145/1052220.1052229}
2619}
2620
2621@INPROCEEDINGS{Coe04short,
2622 author = {Coehoorn, Robert M. and Jennings, Nicholas R.},
2623 title = {Learning an opponent's preferences to make effective multi-issue
2624 negotiation trade-offs},
2625 booktitle = {Proceedings of the 6th international conference on Electronic commerce},
2626 year = {2004},
2627 acmid = {1052229},
2628 isbn = {1-58113-930-6},
2629 location = {Delft, The Netherlands},
2630 numpages = {10},
2631 owner = {Mark},
2632 timestamp = {2013.04.20}
2633}
2634
2635@INPROCEEDINGS{Com99,
2636 author = {Comaniciu, D. and Meer, P.},
2637 title = {Mean shift analysis and applications},
2638 booktitle = {Proceedings of the Seventh IEEE International Conference on Computer
2639 Vision},
2640 year = {1999},
2641 volume = {2},
2642 pages = {1197--1203},
2643 organization = {Ieee},
2644 owner = {---},
2645 timestamp = {2011.07.02}
2646}
2647
2648@ARTICLE{Cra07,
2649 author = {Crawford, Elisabeth and Veloso, Manuela},
2650 title = {An experts approach to strategy selection in multiagent meeting scheduling},
2651 journal = {Autonomous Agents and Multi-Agent Systems},
2652 year = {2007},
2653 volume = {15},
2654 pages = {5-28},
2655 affiliation = {Carnegie Mellon University Computer Science Department Pittsburgh
2656 PA 15213 USA Pittsburgh PA 15213 USA},
2657 issn = {1387-2532},
2658 issue = {1},
2659 keyword = {Computer Science},
2660 owner = {Mark},
2661 publisher = {Springer Netherlands},
2662 timestamp = {2013.02.08}
2663}
2664
2665@ARTICLE{Cro65,
2666 author = {John G. Cross},
2667 title = {A theory of the bargaining process},
2668 journal = {The American Economic Review},
2669 year = {1965},
2670 volume = {55},
2671 pages = {67-94},
2672 owner = {tim},
2673 timestamp = {2010.03.12},
2674 url = {http://www.jstor.org/stable/1816177}
2675}
2676
2677@MISC{Dav02,
2678 author = {David, E and Azoulay-Schwartz, R. and Kraus, S.},
2679 title = {Protocols and strategies for automated multi-attribute auctions},
2680 year = {2002},
2681 pages = {77-85}
2682}
2683
2684@BOOK{DeG70,
2685 title = {Optimal statistical decisions},
2686 publisher = {McGraw-Hill},
2687 year = {1970},
2688 author = {DeGroot, {Morris H.}},
2689 address = {New York, NY, USA},
2690 added-at = {2009-08-21T12:29:29.000+0200},
2691 biburl = {http://www.bibsonomy.org/bibtex/24774fe9b324b9ae13c6dc2a42b01d3d0/fbw\_hannover},
2692 interhash = {ead141651f4a614621e49992a69f9bb9},
2693 intrahash = {4774fe9b324b9ae13c6dc2a42b01d3d0},
2694 isbn = {0070162425},
2695 keywords = {Mathematische Statistik Statistische Entscheidungstheorie},
2696 pagetotal = {XVI, 489},
2697 ppn_gvk = {021834997},
2698 timestamp = {2009-08-21T12:29:29.000+0200},
2699 url = {http://gso.gbv.de/DB=2.1/CMD?ACT=SRCHA\&SRT=YOP\&IKT=1016\&TRM=ppn+021834997\&sourceid=fbw\_bibsonomy}
2700}
2701
2702@ARTICLE{Del97,
2703 author = {Michael M. Delaney and Abbas Foroughi and William C. Perkins},
2704 title = {An empirical study of the efficacy of a computerized negotiation support system {(NSS)}},
2705 journal = {Decision Support Systems },
2706 year = {1997},
2707 volume = {20},
2708 pages = {185 - 197},
2709 number = {3},
2710 abstract = {This paper presents the results of an empirical study to investigate
2711 the effects of a computerized \{NSS\} on the outcomes of face-to-face
2712 negotiations and on negotiator attitudes. In the study, pairs (dyads)
2713 of college students were involved in a simulated industrial bargaining
2714 scenario which tested the impact of computer support and conflict
2715 level on contract outcomes and negotiator attitudes. Three levels
2716 of computer support were compared: a comprehensive \{NSS\} (DSS component
2717 and an electronic communication component), \{DSS\} support only
2718 (no electronic communication component), and no computer support.
2719 The results showed that the \{DSS\} support was similar to the comprehensive
2720 \{NSS\} in improving the information processing aspects of the negotiation,
2721 such as joint outcomes, contract balance, and number of contract
2722 proposals. However, the comprehensive \{NSS\} had a wider spectrum
2723 of positive effects, impacting the socio-emotional aspects of the
2724 negotiation such as perceived satisfaction and negative climate as
2725 well as the information processing aspects. },
2726 doi = {http://dx.doi.org/10.1016/S0167-9236(96)00051-6},
2727 issn = {0167-9236},
2728 keywords = {Negotiation support systems},
2729 url = {http://www.sciencedirect.com/science/article/pii/S0167923696000516}
2730}
2731
2732@BOOK{Deu00,
2733 title = {The Handbook of Conflict Resolution: Theory and Practice},
2734 publisher = {Jossey-Bass},
2735 year = {2000},
2736 author = {Deutsch, Morton and Coleman, Peter T. and Marcus, Eric Colton},
2737 edition = {1st},
2738 month = {Apr},
2739 abstract = {{Morton Deutsch, one of the world's most respected figures in conflict
2740 resolution, and Peter T. Coleman, a prominent scholar in this field,
2741 have brought together a diverse group of experts to create a comprehensive
2742 resource that integrates theory and practice. Drawing on a vast range
2743 of knowledge, this groundbreaking book contains the most authoritative
2744 research, definitive examples, and up-to-date information available.
2745 Written for professionals and students in the wide variety of conflict
2746 resolution fields, this essential resource offers clear directions
2747 for creating constructive solutions to challenging interpersonal,
2748 intergroup, and international conflict.}},
2749 citeulike-article-id = {4487832},
2750 citeulike-linkout-0 = {http://www.amazon.ca/exec/obidos/redirect?tag=citeulike09-20\&path=ASIN/0787948225},
2751 citeulike-linkout-1 = {http://www.amazon.de/exec/obidos/redirect?tag=citeulike01-21\&path=ASIN/0787948225},
2752 citeulike-linkout-2 = {http://www.amazon.fr/exec/obidos/redirect?tag=citeulike06-21\&path=ASIN/0787948225},
2753 citeulike-linkout-3 = {http://www.amazon.jp/exec/obidos/ASIN/0787948225},
2754 citeulike-linkout-4 = {http://www.amazon.co.uk/exec/obidos/ASIN/0787948225/citeulike00-21},
2755 citeulike-linkout-5 = {http://www.amazon.com/exec/obidos/redirect?tag=citeulike07-20\&path=ASIN/0787948225},
2756 citeulike-linkout-6 = {http://www.worldcat.org/isbn/0787948225},
2757 citeulike-linkout-7 = {http://books.google.com/books?vid=ISBN0787948225},
2758 citeulike-linkout-8 = {http://www.amazon.com/gp/search?keywords=0787948225\&index=books\&linkCode=qs},
2759 citeulike-linkout-9 = {http://www.librarything.com/isbn/0787948225},
2760 day = {15},
2761 howpublished = {Hardcover},
2762 isbn = {0787948225},
2763 owner = {tim},
2764 posted-at = {2009-05-07 19:35:02},
2765 priority = {2},
2766 timestamp = {2011.06.22},
2767 url = {http://www.worldcat.org/isbn/0787948225}
2768}
2769
2770@ARTICLE{Dev01,
2771 author = {Laurent Devaux and Corina Paraschiv},
2772 title = {Bargaining on an Internet Agent-based Market: Behavioral vs. Optimizing
2773 Agents},
2774 journal = {Electronic Commerce Research},
2775 year = {2001},
2776 volume = {1},
2777 pages = {371-401}
2778}
2779
2780@INPROCEEDINGS{Cos08,
2781 author = {Diniz Da Costa, Andrew and Lucena, Carlos J. and Torres Da Silva,
2782 Viviane and Azevedo, S\'{e}rgio C. and Soares, F\'{a}bio A.},
2783 title = {Art Competition: Agent Designs to Handle Negotiation Challenges},
2784 booktitle = {Trust in Agent Societies: 11th International Workshop, TRUST 2008,
2785 Estoril, Portugal, May 12 -13, 2008. Revised Selected and Invited
2786 Papers},
2787 year = {2008},
2788 pages = {244--272},
2789 address = {Berlin, Heidelberg},
2790 publisher = {Springer-Verlag},
2791 doi = {http://dx.doi.org/10.1007/978-3-540-92803-4\_13},
2792 isbn = {978-3-540-92802-7},
2793 owner = {tim},
2794 timestamp = {2010.07.29}
2795}
2796
2797@mastersthesis{DirThesis,
2798 title={Towards Understanding Negotiation Strategies: Analyzing the Dynamics of Strategy Components},
2799 author={Dirkzwager, A.S.Y.},
2800 year={2013},
2801 school={Delft University of Technology}
2802}
2803
2804@INCOLLECTION{ANAC2011Dir,
2805 author = {Dirkzwager, A.S.Y. and Hendrikx, M.J.C. and Ruiter, J.R.},
2806 title = {The {N}egotiator: A Dynamic Strategy for Bilateral Negotiations with
2807 Time-Based Discounts},
2808 booktitle = {Complex Automated Negotiations: Theories, Models, and Software Competitions},
2809 publisher = {Springer Berlin Heidelberg},
2810 year = {2013},
2811 editor = {Ito, Takayuki and Zhang, Minjie and Robu, Valentin and Matsuo, Tokuro},
2812 volume = {435},
2813 series = {Studies in Computational Intelligence},
2814 pages = {217-221},
2815 doi = {10.1007/978-3-642-30737-9\_16},
2816 isbn = {978-3-642-30736-2},
2817 url = {http://dx.doi.org/10.1007/978-3-642-30737-9\_16}
2818}
2819
2820@INCOLLECTION{ANAC2011Dirshort,
2821 author = {Dirkzwager, A.S.Y. and Hendrikx, M.J.C. and Ruiter, J.R.},
2822 title = {The Negotiator: A Dynamic Strategy for Bilateral Negotiations with
2823 Time-Based Discounts},
2824 booktitle = {Complex Automated Negotiations: Theories, Models, and Software Competitions},
2825 publisher = {Springer Berlin Heidelberg},
2826 year = {2013},
2827 pages = {217-221},
2828 doi = {10.1007/978-3-642-30737-9\_16},
2829 isbn = {978-3-642-30736-2},
2830 url = {http://dx.doi.org/10.1007/978-3-642-30737-9\_16}
2831}
2832
2833@INCOLLECTION{ANAC2011Dirshorter,
2834 author = {Dirkzwager, A.S.Y. and Hendrikx, M.J.C. and Ruiter, J.R.},
2835 title = {The Negotiator: A Dynamic Strategy for Bilateral Negotiations with
2836 Time-Based Discounts},
2837 booktitle = {Complex Automated Negotiations: Theories, Models, and Software Competitions},
2838 publisher = {Springer Berlin Heidelberg},
2839 year = {2013},
2840 isbn = {978-3-642-30736-2},
2841 owner = {Mark},
2842 timestamp = {2013.04.20}
2843}
2844
2845@ARTICLE{Dra95,
2846 author = {Drake, L.E.},
2847 title = {Negotiation styles in intercultural communication},
2848 journal = {International Journal of Conflict Management},
2849 year = {1995},
2850 volume = {6},
2851 pages = {72--90},
2852 number = {1},
2853 owner = {Mark},
2854 publisher = {MCB UP Ltd},
2855 timestamp = {2012.01.08}
2856}
2857
2858@ARTICLE{Dru08,
2859 author = {Druckman, Daniel and Olekalns, Mara},
2860 title = {Emotions in negotiation},
2861 journal = {Group Decision and Negotiation},
2862 year = {2008},
2863 volume = {17},
2864 pages = {1--11},
2865 number = {1},
2866 doi = {10.1007/s10726-007-9091-9},
2867 issn = {0926-2644},
2868 keywords = {Emotions; Experimentation; Expression games; Information-processing;
2869 Intentions; Negotiation},
2870 language = {English},
2871 owner = {Mark},
2872 publisher = {Springer Netherlands},
2873 timestamp = {2012.01.08}
2874}
2875
2876@ARTICLE{Dum02,
2877 author = {Dumas, M. and Governatori, G. and Ter Hofstede, A.H.M. and Oaks,
2878 P.},
2879 title = {A formal approach to negotiating agents development},
2880 journal = {Electronic Commerce Research and Applications},
2881 year = {2002},
2882 volume = {1},
2883 pages = {193--207},
2884 number = {2},
2885 owner = {Mark},
2886 publisher = {Elsevier},
2887 timestamp = {2012.02.05}
2888}
2889
2890@ARTICLE{Dye92,
2891 author = {Dyer, James S. and Fishburn, Peter C. and Steuer, Ralph E. and Wallenius,
2892 Jyrki and Zionts, Stanley},
2893 title = {Multiple Criteria Decision Making, Multiattribute Utility Theory:
2894 The Next Ten Years},
2895 journal = {Management Science},
2896 year = {1992},
2897 volume = {38},
2898 pages = {645-654},
2899 number = {5}
2900}
2901
2902@ARTICLE{Dze05,
2903 author = {Dzeng, Ren-Jye and Lin, Yu-Chun},
2904 title = {Searching for Better Negotiation Agreement Based on Genetic Algorithm},
2905 journal = {Computer-Aided Civil and Infrastructure Engineering},
2906 year = {2005},
2907 volume = {20},
2908 pages = {280--293},
2909 number = {4},
2910 doi = {10.1111/j.1467-8667.2005.00393},
2911 issn = {1467-8667},
2912 publisher = {Blackwell Publishing, Inc.},
2913 url = {http://dx.doi.org/10.1111/j.1467-8667.2005.00393}
2914}
2915
2916@ARTICLE{Erev1998,
2917 author = {I. Erev and A. Roth},
2918 title = {Predicting how people play games: Reinforcement learning in experimental
2919 games with unique, mixed strategy equilibrium},
2920 journal = {American Economic Review},
2921 year = {1998},
2922 volume = {88},
2923 pages = {848-881},
2924 number = {4}
2925}
2926
2927@INPROCEEDINGS{Eym01,
2928 author = {Eymann, Torsten},
2929 title = {Co-evolution of bargaining strategies in a decentralized multi-agent system},
2930 booktitle = {AAAI fall 2001 symposium on negotiation methods for autonomous cooperative systems},
2931 year = {2001},
2932 pages = {126--134},
2933 owner = {Mark},
2934 timestamp = {2012.02.19}
2935}
2936
2937@INPROCEEDINGS{Fab10,
2938 author = {Fabregues, Angela and Navarro, David and Serrano, Alejandro and Sierra, Carles},
2939 title = {{DipGame}: A Testbed for Multiagent Systems},
2940 booktitle = {Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems},
2941 year = {2010},
2942 volume = {1},
2943 series = {AAMAS '10},
2944 pages = {1619--1620},
2945 address = {Richland, SC},
2946 publisher = {International Foundation for Autonomous Agents and Multiagent Systems},
2947 acmid = {1838510},
2948 isbn = {978-0-9826571-1-9},
2949 keywords = {application, diplomacy game, testbed},
2950 location = {Toronto, Canada},
2951 numpages = {2},
2952 url = {http://dl.acm.org/citation.cfm?id=1838206.1838510}
2953}
2954
2955@ARTICLE{Fab11,
2956 author = {Fabregues, Angela and Sierra, Carles},
2957 title = {{DipGame}: a challenging negotiation testbed},
2958 journal = {Engineering Applications of Artificial Intelligence},
2959 year = {2011},
2960 volume = {24},
2961 pages = {1137--1146},
2962 number = {7},
2963 publisher = {Elsevier}
2964}
2965
2966@Article{Fab12,
2967 author = {Fabregues Vinent, Angela and others},
2968 title = {Facing the Challenge of Automated Negotiation with Humans},
2969 year = {2012},
2970 publisher = {Universitat Aut{\`o}noma de Barcelona},
2971}
2972
2973@ARTICLE{Fan08,
2974 author = {Fang Fang and Ye Xin and Xia Yun and Xu Haitao},
2975 title = {An Opponent's Negotiation Behavior Model to Facilitate Buyer-seller
2976 Negotiations in Supply Chain Management},
2977 journal = {Electronic Commerce and Security, International Symposium},
2978 year = {2008},
2979 month={Aug},
2980 pages = {582-587},
2981 address = {Los Alamitos, CA, USA},
2982 doi = {http://doi.ieeecomputersociety.org/10.1109/ISECS.2008.93},
2983 isbn = {978-0-7695-3258-5},
2984 owner = {Mark},
2985 publisher = {IEEE Computer Society},
2986 timestamp = {2013.06.12}
2987}
2988
2989@INPROCEEDINGS{Far10,
2990 author = {Farag, George M. and AbdelRahman, Samir El-Sayed and Bahgat, Reem and A-Moneim,
2991 Atef M.},
2992 title = {Towards {KDE} mining approach for multi-agent negotiation},
2993 booktitle = {Informatics and Systems (INFOS), 2010 The 7th International Conference
2994 on},
2995 year = {2010},
2996 month={Mar},
2997 pages = {1--7},
2998 organization = {IEEE},
2999 owner = {Mark},
3000 timestamp = {2012.06.30}
3001}
3002
3003@INPROCEEDINGS{Far10Estimating,
3004 author = {Farag, G.M. and AbdelRahman, S.E.S. and Bahgat, R. and A-Moneim,
3005 A.M.},
3006 title = {Estimating negotiation agreement zone using support vector machine
3007 with genetic algorithm},
3008 booktitle = {Informatics and Systems (INFOS), 2010 The 7th International Conference
3009 on},
3010 year = {2010},
3011 pages = {1--8},
3012 organization = {IEEE},
3013 owner = {Mark},
3014 timestamp = {2013.02.09}
3015}
3016
3017@ARTICLE{Far03,
3018 author = {Peyman Faratin and Carles Sierra and Nicholas R. Jennings},
3019 title = {Using similarity criteria to make issue trade-offs in automated negotiations},
3020 journal = {Artificial Intelligence },
3021 year = {2002},
3022 volume = {142},
3023 pages = {205 - 237},
3024 number = {2},
3025 abstract = {Automated negotiation is a key form of interaction in systems that
3026 are composed of multiple autonomous agents. The aim of such interactions
3027 is to reach agreements through an iterative process of making offers.
3028 The content of such proposals are, however, a function of the strategy
3029 of the agents. Here we present a strategy called the trade-off strategy
3030 where multiple negotiation decision variables are traded-off against
3031 one another (e.g., paying a higher price in order to obtain an earlier
3032 delivery date or waiting longer in order to obtain a higher quality
3033 service). Such a strategy is commonly known to increase the social
3034 welfare of agents. Yet, to date, most computational work in this
3035 area has ignored the issue of trade-offs, instead aiming to increase
3036 social welfare through mechanism design. The aim of this paper is
3037 to develop a heuristic computational model of the trade-off strategy
3038 and show that it can lead to an increased social welfare of the system.
3039 A novel linear algorithm is presented that enables software agents
3040 to make trade-offs for multi-dimensional goods for the problem of
3041 distributed resource allocation. Our algorithm is motivated by a
3042 number of real-world negotiation applications that we have developed
3043 and can operate in the presence of varying degrees of uncertainty.
3044 Moreover, we show that on average the total time used by the algorithm
3045 is linearly proportional to the number of negotiation issues under
3046 consideration. This formal analysis is complemented by an empirical
3047 evaluation that highlights the operational effectiveness of the algorithm
3048 in a range of negotiation scenarios. The algorithm itself operates
3049 by using the notion of fuzzy similarity to approximate the preference
3050 structure of the other negotiator and then uses a hill-climbing technique
3051 to explore the space of possible trade-offs for the one that is most
3052 likely to be acceptable. },
3053 doi = {10.1016/S0004-3702(02)00290-4},
3054 issn = {0004-3702},
3055 keywords = {Multi agent systems},
3056 url = {http://www.sciencedirect.com/science/article/pii/S0004370202002904}
3057}
3058
3059@TECHREPORT{Far99,
3060 author = {Peyman Faratin and Carles Sierra and Nicholas R. Jennings and Philip Buckle},
3061 title = {Designing flexible automated negotiators: Concessions, trade-offs and issue changes},
3062 institution = {Instituto de Investigaci\'{o}n en Inteligencia Artificial},
3063 year = {1999},
3064 owner = {tim},
3065 timestamp = {2011.05.31}
3066}
3067
3068@ARTICLE{Far98,
3069 author = {Peyman Faratin and Carles Sierra and Nicholas R. Jennings},
3070 title = {Negotiation decision functions for autonomous agents },
3071 journal = {Robotics and Autonomous Systems},
3072 year = {1998},
3073 volume = {24},
3074 pages = {159 - 182},
3075 number = {3-4},
3076 abstract = {We present a formal model of negotiation between autonomous agents.
3077 The purpose of the negotiation is to reach an agreement about the
3078 provision of a service by one agent for another. The model defines
3079 a range of strategies and tactics that agents can employ to generate
3080 initial offers, evaluate proposals and offer counter proposals. The
3081 model is based on computationally tractable assumptions, demonstrated
3082 in the domain of business process management and empirically evaluated.},
3083 doi = {10.1016/S0921-8890(98)00029-3},
3084 issn = {0921-8890},
3085 keywords = {Multi-agent systems},
3086 url = {http://www.sciencedirect.com/science/article/pii/S0921889098000293}
3087}
3088
3089@ARTICLE{Far98short,
3090 author = {Peyman Faratin and Carles Sierra and Nicholas R. Jennings},
3091 title = {Negotiation decision functions for autonomous agents },
3092 journal = {Robotics and Autonomous Systems},
3093 year = {1998},
3094 volume = {24},
3095 pages = {159 - 182},
3096 number = {3-4},
3097 abstract = {We present a formal model of negotiation between autonomous agents.
3098 The purpose of the negotiation is to reach an agreement about the
3099 provision of a service by one agent for another. The model defines
3100 a range of strategies and tactics that agents can employ to generate
3101 initial offers, evaluate proposals and offer counter proposals. The
3102 model is based on computationally tractable assumptions, demonstrated
3103 in the domain of business process management and empirically evaluated.
3104 },
3105 doi = {10.1016/S0921-8890(98)00029-3},
3106 issn = {0921-8890},
3107 keywords = {Multi-agent systems}
3108}
3109
3110@INPROCEEDINGS{Fat04Incomplete,
3111 author = {Fatima, Shaheen and Wooldridge, Michael J. and Jennings, Nicholas R.},
3112 title = {Optimal negotiation of multiple issues in incomplete information
3113 settings},
3114 booktitle = {Proceedings of the Third International Joint Conference on Autonomous
3115 Agents and Multiagent Systems},
3116 year = {2004},
3117 volume = {3},
3118 pages = {1080--1087},
3119 organization = {IEEE Computer Society},
3120 owner = {---},
3121 timestamp = {2011.08.17}
3122}
3123
3124@INPROCEEDINGS{Fat03,
3125 author = {Fatima, Shaheen S. and Wooldridge, Michael J. and Jennings, Nicholas R.},
3126 title = {Optimal agendas for multi-issue negotiation},
3127 booktitle = {Proceedings of the second international joint conference on Autonomous
3128 agents and multiagent systems},
3129 series = {AAMAS '03},
3130 location = {Melbourne, Australia},
3131 year = {2003},
3132 isbn = {1-58113-683-8},
3133 publisher = {ACM},
3134 address = {New York, NY, USA},
3135 pages = {129--136},
3136 doi = {10.1145/860575.860597},
3137 owner = {Mark},
3138 timestamp = {2012.01.08}
3139}
3140
3141@MISC{Fat09,
3142 author = {Fatima, Shaheen S. and Wooldridge, Michael J. and Jennings, Nicholas R.},
3143 title = {An analysis of feasible solutions for multi-issue negotiation involving
3144 nonlinear utility functions},
3145 year = {2009},
3146 acmid = {1558158},
3147 address = {Richland, SC},
3148 booktitle = {Proceedings of The 8th International Conference on Autonomous Agents
3149 and Multiagent Systems},
3150 volume = {2},
3151 isbn = {978-0-9817381-7-8},
3152 keywords = {approximation, game-theory, negotiation},
3153 location = {Budapest, Hungary},
3154 numpages = {8},
3155 pages = {1041--1048},
3156 publisher = {International Foundation for Autonomous Agents and Multiagent Systems},
3157 series = {AAMAS '09},
3158 url = {http://portal.acm.org/citation.cfm?id=1558109.1558158}
3159}
3160
3161@ARTICLE{Fat07,
3162 author = {Fatima, Shaheen S. and Wooldridge, Michael J. and Jennings, Nicholas R.},
3163 title = {On efficient procedures for multi-issue negotiation},
3164 journal = {Agent-Mediated Electronic Commerce},
3165 year = {2007},
3166 volume = {4452},
3167 pages = {31-45 249},
3168 abstract = {This paper studies bilateral, multi-issue negotiation between self
3169 interested agents with deadlines. There are a number of procedures
3170 for negotiating the issues and each of these gives a different outcome.
3171 Thus, a key problem is to decide which one to use. Given this, we
3172 study the three main alternatives: the package deal, the simultaneous
3173 procedure, and the sequential procedure. First, we determine equilibria
3174 for the case where each agent is uncertain about its opponent's deadline.
3175 We then compare the outcomes for these procedures and determine the
3176 one that is optimal (in this case, the package deal is optimal for
3177 each party). We then compare the procedures in terms of their time
3178 complexity, the uniqueness and Pareto optimality of their solutions,
3179 and their time of agreement.},
3180 keywords = {agenda}
3181}
3182
3183@ARTICLE{Fat06,
3184 author = {Fatima, Shaheen S. and Wooldridge, Michael J. and Jennings, Nicholas R.},
3185 title = {Multi-issue negotiation with deadlines},
3186 journal = {Journal of Artificial Intelligence Research},
3187 year = {2006},
3188 volume = {27},
3189 pages = {381-417},
3190 abstract = {This paper studies bilateral multi-issue negotiation between self-interested
3191 autonomous agents. Now, there are a number of different procedures
3192 that can be used for this process; the three main ones being the
3193 package deal procedure in which all the issues are bundled and discussed
3194 together, the simultaneous procedure in which the issues are discussed
3195 simultaneously but independently of each other, and the sequential
3196 procedure in which the issues are discussed one after another. Since
3197 each of them yields a different outcome, a key problem is to decide
3198 which one to use in which circumstances. Specifically, we consider
3199 this question for a model in which the agents have time constraints
3200 ( in the form of both deadlines and discount factors) and information
3201 uncertainty ( in that the agents do not know the opponent's utility
3202 function). For this model, we consider issues that are both independent
3203 and those that are interdependent and determine equilibria for each
3204 case for each procedure. In so doing, we show that the package deal
3205 is in fact the optimal procedure for each party. We then go on to
3206 show that, although the package deal may be computationally more
3207 complex than the other two procedures, it generates Pareto optimal
3208 outcomes ( unlike the other two), it has similar earliest and latest
3209 possible times of agreement to the simultaneous procedure ( which
3210 is better than the sequential procedure), and that it ( like the
3211 other two procedures) generates a unique outcome only under certain
3212 conditions ( which we define).},
3213 keywords = {interdependent preferences incomplete information bargaining model
3214 agenda equilibrium}
3215}
3216
3217@ARTICLE{Fat05,
3218 author = {Fatima, Shaheen S. and Wooldridge, Michael J. and Jennings, Nicholas R.},
3219 title = {A Comparative Study of Game Theoretic and Evolutionary Models of Bargaining for Software Agents},
3220 journal = {Artificial Intelligence Review},
3221 year = {2005},
3222 volume = {23},
3223 pages = {187-205},
3224 doi={10.1007/s10462-004-6391-1},
3225 publisher={Kluwer Academic Publishers},
3226 issn={0269-2821},
3227 number = {2}
3228}
3229
3230@ARTICLE{Fat04,
3231 author = {Fatima, Shaheen S. and Wooldridge, Michael J. and Jennings, Nicholas R.},
3232 title = {An agenda-based framework for multi-issue negotiation},
3233 journal = {Artificial Intelligence},
3234 year = {2004},
3235 volume = {152},
3236 pages = {1-45},
3237 number = {1},
3238 abstract = {This paper presents a new model for multi-issue negotiation under
3239 time constraints in an incomplete information setting. The issues
3240 to be bargained over can be associated with a single good/service
3241 or multiple goods/services. In our agenda-based model, the order
3242 in which issues are bargained over and agreements are reached is
3243 determined endogenously, as part of the bargaining equilibrium. In
3244 this context we determine the conditions under which agents have
3245 similar preferences over the implementation scheme and the conditions
3246 under which they have conflicting preferences. Our analysis shows
3247 the existence of equilibrium even when both players have uncertain
3248 information about each other, and each agent's information is its
3249 private knowledge. We also study the properties of the equilibrium
3250 solution and determine conditions under which it is unique, symmetric,
3251 and Pareto-optimal. (C) 2003 Elsevier B.V. All rights reserved.},
3252 keywords = {multi-issue negotiation game theory agendas intelligent agents incomplete
3253 information bargaining model time preference equilibrium}
3254}
3255
3256@INPROCEEDINGS{Fat02,
3257 author = {Fatima, Shaheen S. and Wooldridge, Michael J. and Jennings, Nicholas R.},
3258 title = {Multi-issue negotiation under time constraints},
3259 booktitle = {AAMAS '02: Proceedings of the first international joint conference
3260 on Autonomous agents and multiagent systems},
3261 year = {2002},
3262 pages = {143--150},
3263 address = {New York, NY, USA},
3264 publisher = {ACM},
3265 doi = {http://doi.acm.org/10.1145/544741.544775},
3266 isbn = {1-58113-480-0},
3267 location = {Bologna, Italy},
3268 owner = {tim}
3269}
3270
3271@ARTICLE{Fat02inf,
3272 author = {Fatima, Shaheen S. and Wooldridge, Michael J. and Jennings, Nicholas R.},
3273 title = {The influence of information on negotiation equilibrium},
3274 journal = {Agent-Mediated Electronic Commerce},
3275 year = {2002},
3276 volume = {2531},
3277 pages = {180-193},
3278 abstract = {This paper studies the influence of the agents' information states
3279 on the negotiation equilibrium. This is undertaken by examining a
3280 range of negotiation scenarios in which the amount of information
3281 that agents have about their opponent's parameters is systematically
3282 varied. For each such scenario, we show that a unique equilibrium
3283 exists and investigate how the information states of agents influence
3284 the distribution property of the equilibrium solution. Our study
3285 shows the relative impacts of the opponent's parameters on the negotiation
3286 outcome. The results obtained are useful for decision making in situations
3287 where an agent has the option of choosing whom to negotiate with,
3288 from among a set of bargainers, on the basis of its information state.
3289 They also indicate which of its opponent's parameters an agent should
3290 learn in order to maximize its utility.},
3291 keywords = {bargaining model}
3292}
3293
3294@INPROCEEDINGS{Fat02opt,
3295 author = {Fatima, Shaheen S. and Wooldridge, Michael J. and Jennings, Nicholas R.},
3296 title = {Optimal Negotiation Strategies for Agents with Incomplete Information},
3297 booktitle = {Revised Papers from the 8th International Workshop on Intelligent Agents VIII},
3298 year = {2002},
3299 series = {ATAL '01},
3300 pages = {377--392},
3301 address = {London, UK},
3302 publisher = {Springer-Verlag},
3303 abstract = {This paper analyzes the process of automated negotiation between two
3304 competitive agents that have firm deadlines and incomplete information
3305 about their opponent. Generally speaking, the outcome of a negotiation
3306 depends on many parameters-including the agents' preferences, their
3307 reservation limits, their attitude toward time and the strategies
3308 they use. Although in most realistic situations it is not possible
3309 for agents to have complete information about each of these parameters
3310 for its opponent, it is not uncommon for agents to have partial information
3311 about some of them. Under such uncertainty, our aim is to determine
3312 how an agent can exploit its available information to select an optimal
3313 strategy. Here, in particular, the optimal strategies are determined
3314 considering all possible ways in which time can effect negotiation.
3315 Moreover, we list the conditions for convergence when both agents
3316 use their respective optimal strategies and study the effect of time
3317 on negotiation outcome.},
3318 acmid = {757345},
3319 isbn = {3-540-43858-0},
3320 numpages = {16},
3321 url = {http://dl.acm.org/citation.cfm?id=648208.757345}
3322}
3323
3324@ARTICLE{Fav94,
3325 author = {Favati, P. and Lotti, G. and Romani, F.},
3326 title = {Theoretical and Practical Efficiency Measures for Symmetric Interpolatory
3327 Quadrature Fromulas},
3328 journal = {BIT Numerical Mathematics},
3329 year = {1994},
3330 volume = {34},
3331 pages = {546--557},
3332 number = {4}
3333}
3334
3335@ARTICLE{Fer89,
3336 author = {Ferguson, Thomas S.},
3337 title = {Who Solved the Secretary Problem?},
3338 journal = {Statistical Science},
3339 year = {1989},
3340 volume = {4},
3341 pages = {pp. 282-289},
3342 number = {3},
3343 abstract = {In Martin Gardner's Mathematical Games column in the February 1960
3344 issue of Scientific American, there appeared a simple problem that
3345 has come to be known today as the Secretary Problem, or the Marriage
3346 Problem. It has since been taken up and developed by many eminent
3347 probabilists and statisticians and has been extended and generalized
3348 in many different directions so that now one can say that it constitutes
3349 a "field" within mathematics-probability-optimization. The object
3350 of this article is partly historical (to give a fresh view of the
3351 origins of the problem, touching upon Cayley and Kepler), partly
3352 review of the field (listing the subfields of recent interest), partly
3353 serious (to answer the question posed in the title), and partly entertainment.
3354 The contents of this paper were first given as the Allen T. Craig
3355 lecture at the University of Iowa, 1988.},
3356 copyright = {Copyright 1989 Institute of Mathematical Statistics},
3357 issn = {08834237},
3358 jstor_articletype = {research-article},
3359 jstor_formatteddate = {Aug., 1989},
3360 language = {English},
3361 owner = {tim},
3362 publisher = {Institute of Mathematical Statistics},
3363 timestamp = {2011.03.03},
3364 url = {http://www.jstor.org/stable/2245639}
3365}
3366
3367@inproceedings{Fic08,
3368 author = {Ficici, Sevan G. and Pfeffer, Avi},
3369 title = {Modeling How Humans Reason About Others with Partial Information},
3370 booktitle = {Proceedings of the 7th International Joint Conference on Autonomous Agents and Multiagent Systems},
3371 volume = {1},
3372 series = {AAMAS '08},
3373 year = {2008},
3374 isbn = {978-0-9817381-0-9},
3375 location = {Estoril, Portugal},
3376 pages = {315--322},
3377 numpages = {8},
3378 url = {http://dl.acm.org/citation.cfm?id=1402383.1402431},
3379 acmid = {1402431},
3380 publisher = {International Foundation for Autonomous Agents and Multiagent Systems},
3381 address = {Richland, SC},
3382 keywords = {human models, negotiation, reasoning, uncertainty},
3383}
3384
3385@ARTICLE{Fil10,
3386 author = {Filzmoser, M.},
3387 title = {Automated vs. Human Negotiation},
3388 journal = {International Journal of Artificial Intelligence},
3389 year = {2010},
3390 volume = {4},
3391 pages = {64--77},
3392 number = {S10},
3393 owner = {Mark},
3394 timestamp = {2013.02.02}
3395}
3396
3397@INCOLLECTION{ANAC2011Fis,
3398 author = {Fishel, Radmila and Bercovitch, Maya and Gal, Ya'akov(Kobi)},
3399 title = {BRAM Agent},
3400 booktitle = {Complex Automated Negotiations: Theories, Models, and Software Competitions},
3401 publisher = {Springer Berlin Heidelberg},
3402 year = {2013},
3403 editor = {Ito, Takayuki and Zhang, Minjie and Robu, Valentin and Matsuo, Tokuro},
3404 volume = {435},
3405 series = {Studies in Computational Intelligence},
3406 pages = {213-216},
3407 doi = {10.1007/978-3-642-30737-9\_15},
3408 isbn = {978-3-642-30736-2},
3409 url = {http://dx.doi.org/10.1007/978-3-642-30737-9\_15}
3410}
3411
3412@INCOLLECTION{ANAC2011Fisshort,
3413 author = {Fishel, Radmila and Bercovitch, Maya and Gal, Ya'akov(Kobi)},
3414 title = {BRAM Agent},
3415 booktitle = {Complex Automated Negotiations: Theories, Models, and Software Competitions},
3416 publisher = {Springer Berlin Heidelberg},
3417 year = {2013},
3418 pages = {213-216},
3419 doi = {10.1007/978-3-642-30737-9\_15},
3420 isbn = {978-3-642-30736-2},
3421 url = {http://dx.doi.org/10.1007/978-3-642-30737-9\_15}
3422}
3423
3424@INPROCEEDINGS{For97,
3425 author = {Foresee, D. and Hagan, M.T.},
3426 title = {Gauss-Newton approximation to Bayesian learning},
3427 booktitle = {International Conference on Neural Networks},
3428 year = {1997},
3429 volume = {3},
3430 pages = {1930--1935},
3431 organization = {IEEE},
3432 owner = {---},
3433 timestamp = {2011.07.05}
3434}
3435
3436@BOOK{Fox68,
3437 title = {Chebyshev polynomials in numerical analysis},
3438 publisher = {Oxford university press London},
3439 year = {1968},
3440 author = {Fox, L. and Parker, I.B.},
3441 volume = {29},
3442 owner = {---},
3443 timestamp = {2011.07.17}
3444}
3445
3446@ARTICLE{Fre83,
3447 author = {Freeman, P.R.},
3448 title = {The Secretary Problem and Its Extensions: A Review},
3449 journal = {International Statistical Review / Revue Internationale de Statistique},
3450 year = {1983},
3451 volume = {51},
3452 pages = {pp. 189-206},
3453 number = {2},
3454 abstract = {The development of what has come to be known as the secretary problem
3455 is traced from its origins in the early 1960's. All published work
3456 to date on the problem and its extensions is reviewed. /// Ce r\'{e}sum\'{e}
3457 trace le d\'{e}veloppement d\'{e}s son origine pendant la premi\'{e}re
3458 p\'{e}riode des ann\'{e}es 60 de ce qu'on appelle le probl\'{e}me
3459 du secr\'{e}taire. Il passe en revue tous les travaux sur ce probl\`{e}me
3460 et ses extensions qui ont d\'{e}j\`{a} \'{e}t\'{e} publi\i'{e}s.},
3461 copyright = {Copyright 1983 International Statistical Institute (ISI)},
3462 issn = {03067734},
3463 jstor_articletype = {research-article},
3464 jstor_formatteddate = {Aug., 1983},
3465 language = {English},
3466 owner = {tim},
3467 publisher = {International Statistical Institute (ISI)},
3468 timestamp = {2011.03.03},
3469 url = {http://www.jstor.org/stable/1402748}
3470}
3471
3472@INCOLLECTION{ANAC2011Frie,
3473 author = {Frieder, Asaf and Miller, Gal},
3474 title = {Value Model Agent: A Novel Preference Profiler for Negotiation with
3475 Agents},
3476 booktitle = {Complex Automated Negotiations: Theories, Models, and Software Competitions},
3477 publisher = {Springer Berlin Heidelberg},
3478 year = {2013},
3479 editor = {Ito, Takayuki and Zhang, Minjie and Robu, Valentin and Matsuo, Tokuro},
3480 volume = {435},
3481 series = {Studies in Computational Intelligence},
3482 pages = {199-203},
3483 doi = {10.1007/978-3-642-30737-9\_12},
3484 isbn = {978-3-642-30736-2},
3485 url = {http://dx.doi.org/10.1007/978-3-642-30737-9\_12}
3486}
3487
3488@INCOLLECTION{ANAC2011Frieshort,
3489 author = {Frieder, Asaf and Miller, Gal},
3490 title = {Value Model Agent: A Novel Preference Profiler for Negotiation with
3491 Agents},
3492 booktitle = {Complex Automated Negotiations: Theories, Models, and Software Competitions},
3493 publisher = {Springer Berlin Heidelberg},
3494 year = {2013},
3495 pages = {199-203},
3496 doi = {10.1007/978-3-642-30737-9\_12},
3497 isbn = {978-3-642-30736-2},
3498 url = {http://dx.doi.org/10.1007/978-3-642-30737-9\_12}
3499}
3500
3501@INPROCEEDINGS{ANAC2013AgentKF,
3502 author = {Fujita, Katsuhide},
3503 title = {Automated Negotiating Agent with Strategy Adaptation for Multi-times Negotiations},
3504 booktitle = {IEEE 6th International Conference on Service-Oriented Computing and Applications (SOCA)},
3505 year = {2013},
3506 pages = {333-337},
3507 abstract = {International Automated Negotiating Agents Competition (ANAC) was
3508 held in conjunction with International Joint Conference on Autonomous
3509 Agents and Multi-Agent Systems (AAMAS). This competition brings together
3510 researchers from the negotiation community and provides a unique
3511 benchmark for evaluating practical negotiation strategies in multi-issue
3512 domains. The previous competitions have provided the novel ideas
3513 in the field of autonomous agent design. Recently, the focus of the
3514 competition is interleaving learning with negotiation strategies.
3515 In this paper, we propose AgentKF which estimates the opponent's
3516 strategies based on the past negotiation sessions. Our agent tries
3517 to compromise to the estimated maximum utility of the opponent by
3518 the end of the negotiation. In addition, our agent can adjust the
3519 speed of compromising and search the pareto frontier using past negotiation
3520 sessions. Our agent won the 1st prize in the qualifying round of
3521 ANAC-2013.},
3522 doi = {10.1109/SOCA.2013.33},
3523 keywords = {Autonomous agents;Equations;Estimation;Indium tin oxide;Joints;Pareto
3524 optimization;Protocols;Automated Negotiating Agents Competition;Multi-agent
3525 System;Multi-issue Negotiation}
3526}
3527
3528@InCollection{ANAC2011Kawpaper,
3529 author = {Fujita, Katsuhide and Ito, Takayuki and Baarslag, Tim and Hindriks, Koen V. and Jonker, Catholijn M. and Kraus, Sarit and Lin, Raz},
3530 title = {The Second Automated Negotiating Agents Competition ({ANAC} 2011)},
3531 booktitle = {Complex Automated Negotiations: Theories, Models, and Software Competitions},
3532 publisher = {Springer Berlin Heidelberg},
3533 year = {2013},
3534 editor = {Ito, Takayuki and Zhang, Minjie and Robu, Valentin and Matsuo, Tokuro},
3535 volume = {435},
3536 series = {Studies in Computational Intelligence},
3537 pages = {183-197},
3538 abstract = {In May 2011, we organized the Second International Automated Negotiating
3539 Agents Competition (ANAC2011) in conjunction with AAMAS 2011. ANAC
3540 is an international competition that challenges researchers to develop
3541 a successful automated negotiator for scenarios where there is incomplete
3542 information about the opponent. One of the goals of this competition
3543 is to help steer the research in the area of bilateral multi-issue
3544 negotiations, and to encourage the design of generic negotiating
3545 agents that are able to operate in a variety of scenarios. Eighteen
3546 teams from seven different institutes competed in ANAC2011. This
3547 chapter describes the participating agents and the setup of the tournament,
3548 including the different negotiation scenarios that were used in the
3549 competition. We report on the results of the qualifying and final
3550 round of the tournament.},
3551 affiliation = {School of Engineering, The University of Tokyo, Tokyo, Japan},
3552 isbn = {978-3-642-30736-2},
3553 keyword = {Engineering},
3554 pdf = {http://dx.doi.org/10.1007/978-3-642-30737-9_11},
3555 url = {http://dx.doi.org/10.1007/978-3-642-30737-9\_11},
3556}
3557
3558@INPROCEEDINGS{Fuj09,
3559 author = {Fujita, Katsuhide and Ito, Takayuki and Klein, Mark},
3560 title = {Approximately fair and secure protocols for multiple interdependent
3561 issues negotiation},
3562 booktitle = {Proceedings of The 8th International Conference on Autonomous Agents
3563 and Multiagent Systems},
3564 volume={2},
3565 year = {2009},
3566 series = {AAMAS '09},
3567 pages = {1287--1288},
3568 address = {Richland, SC},
3569 publisher = {International Foundation for Autonomous Agents and Multiagent Systems},
3570 acmid = {1558255},
3571 isbn = {978-0-9817381-7-8},
3572 keywords = {multi-issue negotiation, non-linear utility function},
3573 location = {Budapest, Hungary},
3574 numpages = {2},
3575 url = {http://dl.acm.org/citation.cfm?id=1558109.1558255}
3576}
3577
3578@InCollection{Gal15,
3579 author = {(Ya'akov) Gal, Kobi and Ilany, Litan},
3580 title = {The Fourth Automated Negotiation Competition},
3581 booktitle = {Next Frontier in Agent-based Complex Automated Negotiation},
3582 publisher = {Springer Japan},
3583 year = {2015},
3584 editor = {Fujita, Katsuhide and Ito, Takayuki and Zhang, Minjie and Robu, Valentin},
3585 volume = {596},
3586 series = {Studies in Computational Intelligence},
3587 pages = {129-136},
3588 doi = {10.1007/978-4-431-55525-4_8},
3589 isbn = {978-4-431-55524-7},
3590 keywords = {Automated negotiation competition; Multi-issue negotiation},
3591 language = {English},
3592 url = {http://dx.doi.org/10.1007/978-4-431-55525-4_8},
3593}
3594
3595
3596@INPROCEEDINGS{Ful05,
3597 author = {Karen K. Fullam and Tomas B. Klos and Guillaume Muller and Jordi
3598 Sabater and Andreas Schlosser and K. Suzanne Barber and Jeffrey S.
3599 Rosenschein and Laurent Vercouter and Marco Voss},
3600 title = {A specification of the agent reputation and trust (art) testbed:
3601 experimentation and competition for trust in agent societies},
3602 booktitle = {The 4th International Joint Conference on Autonomous Agents and MultiAgent
3603 Systems (AAMAS)},
3604 year = {2005},
3605 pages = {512--518},
3606 publisher = {ACM Press},
3607 owner = {tim},
3608 timestamp = {2010.08.03}
3609}
3610
3611@incollection{Fur00,
3612 author = {F\"{u}rnkranz, Johannes},
3613 title = {Machine Learning in Games: A Survey},
3614 booktitle = {Machines That Learn to Play Games},
3615 editor = {F\"{u}rnkranz, Johannes and Kubat, Miroslav},
3616 year = {2001},
3617 isbn = {1-59033-021-8},
3618 pages = {11--59},
3619 numpages = {49},
3620 url = {http://dl.acm.org/citation.cfm?id=644391.644393},
3621 acmid = {644393},
3622 publisher = {Nova Science Publishers, Inc.},
3623 address = {Commack, NY, USA},
3624}
3625
3626
3627@INPROCEEDINGS{Gal05colored,
3628 author = {Gal, Ya'akov and Grosz, Barbara J. and Kraus, Sarit and Pfeffer, Avi and Shieber, Stuart},
3629 title = {Colored trails: a formalism for investigating decision-making in strategic environments},
3630 booktitle = {Proceedings of the 2005 IJCAI workshop on reasoning, representation, and learning in computer games},
3631 year = {2005},
3632 pages = {25--30}
3633}
3634
3635@article{Gal11,
3636 author = {Gal, Ya'akov and Kraus, Sarit and Gelfand, Michele and Khashan, Hilal and Salmon, Elizabeth},
3637 title = {An Adaptive Agent for Negotiating with People in Different Cultures},
3638 journal = {ACM Transactions on Intelligent Systems and Technology},
3639 issue_date = {October 2011},
3640 volume = {3},
3641 number = {1},
3642 month = {Oct},
3643 year = {2011},
3644 issn = {2157-6904},
3645 pages = {8:1--8:24},
3646 articleno = {8},
3647 numpages = {24},
3648 url = {http://doi.acm.org/10.1145/2036264.2036272},
3649 doi = {10.1145/2036264.2036272},
3650 acmid = {2036272},
3651 publisher = {ACM},
3652 address = {New York, NY, USA},
3653 keywords = {Human-agent decision making, cultural modeling},
3654}
3655
3656@article{Gal10,
3657title={Agent Decision-Making in Open Mixed Networks},
3658author="Y. Gal and B. Grosz and S. Kraus and A. Pfeffer and S. Shieber",
3659journal = "Artificial Intelligence",
3660volume="174",
3661number="18",
3662pages="1460--1480",
3663year = "2010",
3664DOI="doi:10.1016/j.artint.2010.09.002"
3665}
3666
3667@INPROCEEDINGS{ANAC2010vanGExt,
3668 author = {Niels van Galen Last},
3669 title = {{Agent Smith}: Opponent model estimation in bilateral multi-issue negotiation},
3670 booktitle = {New Trends in Agent-based Complex Automated Negotiations},
3671 series={Studies in Computational Intelligence},
3672 year = {2012},
3673 editor = {Takayuki Ito and Minjie Zhang and Valentin Robu and Shaheen Fatima
3674 and Tokuro Matsuo},
3675 pages = {167-174},
3676 address = {Berlin, Heidelberg},
3677 publisher = {Springer-Verlag},
3678 isbn = {978-3-642-24695-1},
3679 owner = {tim}
3680}
3681
3682@ARTICLE{ANAC2010vanG,
3683 author = {Niels van Galen Last},
3684 title = {Agent Smith: Opponent model estimation in bilateral multi-issue negotiation},
3685 journal = {This volume},
3686 year = {2012},
3687 pages = {167-174}
3688}
3689
3690@INPROCEEDINGS{ANAC2010vanGExtshort,
3691 author = {Niels van Galen Last},
3692 title = {Agent Smith: Opponent model estimation in bilateral multi-issue negotiation},
3693 booktitle = {New Trends in Agent-based Complex Automated Negotiations},
3694 year = {2012},
3695 pages = {167-174},
3696 address = {Berlin, Heidelberg},
3697 publisher = {Springer-Verlag},
3698 isbn = {978-3-642-24695-1},
3699 owner = {tim}
3700}
3701
3702@INPROCEEDINGS{Gan11,
3703 author = {Sam Ganzfried and Tuomas Sandholm},
3704 title = {Game Theory-Based Opponent Modeling in Large Imperfect-Information
3705 Games},
3706 booktitle = {The Tenth International Conference on Autonomous Agents and Multiagent
3707 Systems},
3708 year = {2011},
3709 editor = {Liz Sonenberg and Peter Stone and Kagan Tumer and Pinar Yolum},
3710 volume = {2},
3711 pages = {533--540},
3712 publisher = {IFAAMAS},
3713 owner = {Mark},
3714 timestamp = {2013.02.08}
3715}
3716
3717@INBOOK{Gao10,
3718 pages = {3523-3528},
3719 title = {Research on the decision-making of multi-issue/attribute negotiation
3720 based on agent technology and the Genetic Algorithm},
3721 publisher = {IEEE},
3722 year = {2010},
3723 author = {Gao, Taiguang and Chen, Peiyou},
3724 booktitle = {Chinese Control and Decision Conference CCDC 2010},
3725 owner = {Mark},
3726 timestamp = {2013.02.08}
3727}
3728
3729@ARTICLE{Gat08,
3730 author = {Gatti, N. and Di Giunta, F. and Marino, S.},
3731 title = {Alternating-offers bargaining with one-sided uncertain deadlines:
3732 an efficient algorithm},
3733 journal = {Artificial Intelligence},
3734 year = {2008},
3735 volume = {172},
3736 pages = {1119--1157},
3737 number = {8-9},
3738 owner = {Mark},
3739 publisher = {Elsevier},
3740 timestamp = {2012.01.07}
3741}
3742
3743@BOOK{Geh98,
3744 title = {Management of Technology and Operations},
3745 publisher = {Wiley},
3746 year = {1998},
3747 author = {Gehani, R.R.},
3748 isbn = {9780471179061},
3749 lccn = {97053199},
3750 url = {http://books.google.nl/books?id=dT8BL1D9SEsC}
3751}
3752
3753@MISC{Gei07,
3754 author = {Geipel, Markus M. and Weiss, Gerhard},
3755 title = {A Generic Framework for Argumentation-Based Negotiation},
3756 year = {2007},
3757 pages = {209-223},
3758 publisher = {Springer},
3759 volume = {4676}
3760}
3761
3762@techreport{Ger00,
3763 author = {Enrico H. Gerding and David D.B. Bragt and Johannes A. La Poutr\'{e}},
3764 title = {Scientific approaches and techniques for negotiation: a game theoretic and artificial intelligence perspective},
3765 year = {2000},
3766 source = {http://www.ncstrl.org:8900/ncstrl/servlet/search?formname=detail\&id=oai%3Ancstrlh%3Aercim_cwi%3Aercim.cwi%2F%2FSEN-R0005},
3767 publisher = {CWI (Centre for Mathematics and Computer Science)},
3768 institution = {CWI (Centre for Mathematics and Computer Science)},
3769 address = {Amsterdam, The Netherlands},
3770}
3771
3772@PHDTHESIS{GhoPhD,
3773 author = {Ghorbani, Amineh},
3774 title = {Structuring Socio-technical Complexity},
3775 year = {2013}
3776}
3777
3778@ARTICLE{God93,
3779 author = {Gode, Dhananjay K. and Sunder, Shyam},
3780 title = {Allocative Efficiency in Markets with Zero Intelligence {(ZI)} Traders:
3781 Market as a Partial Substitute for Individual Rationality},
3782 journal = {Journal of Political Economy},
3783 year = {1993},
3784 volume = {101},
3785 ISSN = {00223808},
3786 publisher = {The University of Chicago Press},
3787 pages = {119-137},
3788 number = {1}
3789}
3790
3791@BOOK{Goldberg1989,
3792 title = {Genetic algorithms in search, optimization, and machine learning},
3793 publisher = {Addison-Wesley Professional},
3794 year = {1989},
3795 author = {Goldberg, D.E.},
3796 owner = {---},
3797 timestamp = {2011.06.05}
3798}
3799
3800@ARTICLE{Gre01,
3801 author = {Amy Greenwald and Peter Stone},
3802 title = {Autonomous Bidding Agents in the Trading Agent Competition},
3803 journal = {IEEE Internet Computing},
3804 year = {2001},
3805 volume = {5},
3806 pages = {52--60},
3807 number = {2},
3808 timestamp = {2010.06.03}
3809}
3810
3811@INCOLLECTION{Guo03,
3812 author = {Guo, Y. and M{\"u}ller, J. and Weinhardt, C.},
3813 title = {Learning User Preferences for Multi-attribute Negotiation: An Evolutionary
3814 Approach},
3815 booktitle = {Multi-Agent Systems and Applications III},
3816 publisher = {Springer Berlin Heidelberg},
3817 year = {2003},
3818 volume = {2691},
3819 series = {Lecture Notes in Computer Science},
3820 pages = {303-313},
3821 doi = {10.1007/3-540-45023-8\_29},
3822 isbn = {978-3-540-40450-7},
3823 language = {English},
3824 owner = {Mark},
3825 timestamp = {2013.02.12},
3826 url = {http://dx.doi.org/10.1007/3-540-45023-8\_29}
3827}
3828
3829@INCOLLECTION{Gut98,
3830 author = {Guttman, Robert H. and Maes, Pattie},
3831 title = {Agent-Mediated Integrative Negotiation for Retail Electronic Commerce},
3832 booktitle = {Agent Mediated Electronic Commerce},
3833 publisher = {Springer Berlin Heidelberg},
3834 year = {1999},
3835 editor = {Noriega, Pablo and Sierra, Carles},
3836 volume = {1571},
3837 series = {Lecture Notes in Computer Science},
3838 pages = {70-90},
3839 doi = {10.1007/3-540-48835-9\_5},
3840 isbn = {978-3-540-65955-6},
3841 language = {English},
3842 url = {http://dx.doi.org/10.1007/3-540-48835-9\_5}
3843}
3844
3845@INPROCEEDINGS{Gwa01,
3846 author = {Gwak, Jeonghwan and Sim, Kwang Mong},
3847 title = {Bayesian learning based negotiation agents for supporting negotiation
3848 with incomplete information},
3849 booktitle = {Proceedings of the International MultiConference of Engineers and
3850 Computer Scientists},
3851 pages={163--168},
3852 year = {2011},
3853 volume = {1},
3854 owner = {Mark},
3855 timestamp = {2013.06.01}
3856}
3857
3858@ARTICLE{Had03,
3859 author = {Ha, Vu and Haddawy, Peter},
3860 title = {Similarity of Personal Preferences: Theoretical Foundations and Empirical
3861 Analysis},
3862 journal = {Artificial Intelligence},
3863 year = {2003},
3864 volume = {146},
3865 pages = {149-173},
3866 number = {2}
3867}
3868
3869@INPROCEEDINGS{Hab12,
3870 author = {Valeriia Haberland and Simon Miles and Michael Luck},
3871 title = {Adaptive Negotiation for Resource Intensive Tasks in Grids},
3872 booktitle = {STAIRS},
3873 year = {2012},
3874 pages = {125-136},
3875 ee = {http://dx.doi.org/10.3233/978-1-61499-096-3-125},
3876 owner = {Mark},
3877 timestamp = {2013.05.28}
3878}
3879
3880@TECHREPORT{Hal02,
3881 author = {David Hales},
3882 title = {Neg-o-net - a negotiation simulation test-bed},
3883 institution = {CPM},
3884 year = {2002},
3885 number = {CPM-02-109},
3886 month = {Apr}
3887}
3888
3889
3890@MISC{Har08,
3891 author = {Harrenstein, Paul and Mahr, Tamas and de Weerdt, Mathijs M.},
3892 title = {A Qualitative Vickrey Auction},
3893 year = {2008},
3894 pages = {289-301},
3895 publisher = {University of Liverpool}
3896}
3897
3898@MISC{Har09,
3899 author = {Harrenstein, Paul and de Weerdt, Mathijs M. and Conitzer, Vincent},
3900 title = {A Qualitative Vickrey Auction},
3901 year = {2009},
3902 pages = {197-206},
3903 publisher = {ACM Press}
3904}
3905
3906@BOOK{Hay94,
3907 title = {Neural networks: a comprehensive foundation},
3908 publisher = {Prentice Hall PTR Upper Saddle River, NJ, USA},
3909 year = {1994},
3910 day = {16},
3911 edition = {2},
3912 isbn = {0132733501},
3913 author = {Haykin, Simon},
3914 owner = {---},
3915 timestamp = {2011.06.18}
3916}
3917
3918@ARTICLE{He03,
3919 author = {Minghua He and Jennings, Nicholas R. and {Ho-fung} Leung},
3920 title = {On agent-mediated electronic commerce},
3921 journal = {IEEE Transactions on Knowledge and Data Engineering},
3922 year = {2003},
3923 volume = {15},
3924 pages = {985-1003},
3925 number = {4},
3926 doi = {10.1109/TKDE.2003.1209014},
3927 issn = {1041-4347},
3928 keywords = {electronic commerce;multi-agent systems;software agents;agent-mediated
3929 electronic commerce;business-to-business aspects;business-to-consumer
3930 aspects;buyer coalition formation;consumer buying behavior;intelligent
3931 agents;merchant brokering;need identification;product brokering;Application
3932 software;Automation;Business;Electronic commerce;Helium;Impedance;Intelligent
3933 agent;Law;Legal factors;Software quality}
3934}
3935
3936@INCOLLECTION{Hen03,
3937 author = {Henderson, Peter and Crouch, Stephen and Walters, Robert John and Ni, Qinglai},
3938 title = {Comparison of Some Negotiation Algorithms Using a Tournament-Based Approach},
3939 booktitle = {Agent Technologies, Infrastructures, Tools, and Applications for E-Services},
3940 publisher = {Springer Berlin Heidelberg},
3941 year = {2003},
3942 editor = {Carbonell, Jaime G. and Siekmann, J\"{o}rg and Kowalczyk, Ryszard
3943 and M\"{u}ller, J\"{o}rg P. and Tianfield, Huaglory and Unland, Rainer},
3944 volume = {2592},
3945 series = {Lecture Notes in Computer Science},
3946 pages = {137-150},
3947 doi = {10.1007/3-540-36559-1\_12},
3948 isbn = {978-3-540-00742-5},
3949 language = {English},
3950 owner = {Mark},
3951 timestamp = {2013.02.12},
3952 url = {http://dx.doi.org/10.1007/3-540-36559-1\_12}
3953}
3954
3955@mastersthesis{hendrikx2012evaluating,
3956 title={Evaluating the Quality of Opponent Models in Automated Bilateral Negotiations},
3957 author={Hendrikx, M.J.C.},
3958 year={2012},
3959 school={Delft University of Technology}
3960}
3961
3962@INPROCEEDINGS{Her05,
3963 author = {Jaap van den Herik and Jeroen Donkers and Pieter H.M. Spronck},
3964 title = {Opponent Modelling and Commercial Games},
3965 booktitle = {Proceedings of the IEEE 2005 Symposium on Computational Intelligence
3966 and Games},
3967 year = {2005},
3968 editor = {Graham Kendall and Simon Lucas},
3969 pages = {15--25},
3970 owner = {Mark},
3971 timestamp = {2013.02.08}
3972}
3973
3974@INCOLLECTION{Hin07,
3975 author = {Hindriks, Koen V. and Jonker, Catholijn M. and Tykhonov, Dmytro},
3976 title = {Analysis of Negotiation Dynamics},
3977 booktitle = {Cooperative Information Agents XI},
3978 publisher = {Springer Berlin Heidelberg},
3979 year = {2007},
3980 editor = {Klusch, Matthias and Hindriks, Koen V. and Papazoglou, Mike P. and
3981 Sterling, Leon},
3982 volume = {4676},
3983 series = {Lecture Notes in Computer Science},
3984 pages = {27-35},
3985 doi = {10.1007/978-3-540-75119-9\_3},
3986 isbn = {978-3-540-75118-2},
3987 url = {http://dx.doi.org/10.1007/978-3-540-75119-9\_3}
3988}
3989
3990@ARTICLE{Hin11,
3991 author = {Hindriks, Koen V. and Jonker, Catholijn M. and Tykhonov, Dmytro},
3992 title = {Let's dans! {An} analytic framework of negotiation dynamics and strategies},
3993 journal = {Web Intelligence and Agent Systems},
3994 year = {2011},
3995 volume = {9},
3996 pages = {319--335},
3997 issn = {1570-1263},
3998 doi = {10.3233/WIA-2011-0221},
3999 number = {4},
4000 month = {Dec},
4001 owner = {---},
4002 publisher = {IOS Press},
4003 address = {Amsterdam, The Netherlands, The Netherlands},
4004 timestamp = {2011.08.19}
4005}
4006
4007@INPROCEEDINGS{Hin09Benefits,
4008 author = {Hindriks, Koen V. and Jonker, Catholijn M. and Tykhonov, Dmytro},
4009 title = {The Benefits of Opponent Models in Negotiation},
4010 booktitle = {Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology},
4011 year = {2009},
4012 month={Sep},
4013 volume = {2},
4014 doi={10.1109/WI-IAT.2009.192},
4015 pages = {439--444},
4016 organization = {IEEE Computer Society},
4017 owner = {---},
4018 timestamp = {2011.05.22}
4019}
4020
4021@INPROCEEDINGS{Hin09Opponent,
4022 author = {Hindriks, Koen V. and Jonker, Catholijn M. and Tykhonov, Dmytro},
4023 title = {Using opponent models for efficient negotiation},
4024 booktitle = {Proceedings of The 8th International Conference on Autonomous Agents
4025 and Multiagent Systems},
4026 year = {2009},
4027 volume = {2},
4028 series = {AAMAS '09},
4029 pages = {1243--1244},
4030 publisher = {International Foundation for Autonomous Agents and Multiagent Systems},
4031 location = {Budapest, Hungary},
4032 numpages = {2},
4033 owner = {---},
4034 timestamp = {2011.08.19}
4035}
4036
4037@MISC{Hin09usi,
4038 author = {Hindriks, Koen V. and Jonker, Catholijn M. and Tykhonov, Dmytro},
4039 title = {Using Opponent Models for Efficient Negotiation (Extended Abstract)},
4040 year = {2009}
4041}
4042
4043@INPROCEEDINGS{Hin09Genius,
4044 author = {Hindriks, Koen V. and Jonker, Catholijn M. and Kraus, Sarit and Lin,
4045 Raz and Tykhonov, Dmytro},
4046 title = {Genius: negotiation environment for heterogeneous agents},
4047 booktitle = {Proceedings of The 8th International Conference on Autonomous Agents
4048 and Multiagent Systems},
4049 volume = {2},
4050 year = {2009},
4051 series = {AAMAS '09},
4052 pages = {1397--1398},
4053 address = {Richland, SC},
4054 publisher = {International Foundation for Autonomous Agents and Multiagent Systems},
4055 acmid = {1558313},
4056 isbn = {978-0-9817381-7-8},
4057 keywords = {automated multi-issue negotiation, negotiation, negotiation strategy,
4058 testbed},
4059 location = {Budapest, Hungary},
4060 numpages = {2},
4061 url = {http://dl.acm.org/citation.cfm?id=1558109.1558313}
4062}
4063
4064@INPROCEEDINGS{Hin07Negotiation,
4065 author = {Hindriks, Koen V. and Jonker, Catholijn M. and Tykhonov, Dmytro},
4066 title = {Negotiation Dynamics: Analysis, Concession Tactics, and Outcomes},
4067 booktitle = {Proceedings of the 2007 IEEE/WIC/ACM International Conference on
4068 Intelligent Agent Technology},
4069 year = {2007},
4070 series = {IAT '07},
4071 pages = {427--433},
4072 address = {Washington, DC, USA},
4073 publisher = {IEEE Computer Society},
4074 acmid = {1331698},
4075 doi = {10.1109/IAT.2007.73},
4076 isbn = {0-7695-3027-3},
4077 numpages = {7},
4078 url = {http://dx.doi.org/10.1109/IAT.2007.73}
4079}
4080
4081@INCOLLECTION{Hin08ope,
4082 author = {Hindriks, Koen V. and Jonker, Catholijn M. and Tykhonov, Dmytro},
4083 title = {Towards an Open Negotiation Architecture for Heterogeneous Agents},
4084 booktitle = {Cooperative Information Agents XII},
4085 publisher = {Springer Berlin Heidelberg},
4086 year = {2008},
4087 editor = {Klusch, Matthias and Pechoucek, Michal and Polleres, Axel},
4088 volume = {5180},
4089 series = {Lecture Notes in Computer Science},
4090 pages = {264-279},
4091 doi = {10.1007/978-3-540-85834-8\_21},
4092 isbn = {978-3-540-85833-1},
4093 url = {http://dx.doi.org/10.1007/978-3-540-85834-8\_21}
4094}
4095
4096@INPROCEEDINGS{Hin08Human,
4097 author = {Hindriks, Koen V. and Jonker, Catholijn M.},
4098 title = {Creating human-machine synergy in negotiation support systems: towards
4099 the pocket negotiator},
4100 booktitle = {Proceedings of the 1st International Working Conference on Human
4101 Factors and Computational Models in Negotiation},
4102 year = {2009},
4103 series = {HuCom '08},
4104 pages = {47--54},
4105 address = {New York, NY, USA},
4106 publisher = {ACM},
4107 acmid = {1609176},
4108 doi = {10.1145/1609170.1609176},
4109 isbn = {978-90-813811-1-6},
4110 keywords = {artificial intelligence, human computer interaction, negotiation,
4111 situated cognitive engineering},
4112 location = {Delft, The Netherlands},
4113 numpages = {8},
4114 url = {http://doi.acm.org/10.1145/1609170.1609176}
4115}
4116
4117@INCOLLECTION{Hin08qua,
4118 author = {Hindriks, Koen V. and Tykhonov, Dmytro},
4119 title = {Towards a Quality Assessment Method for Learning Preference Profiles
4120 in Negotiation},
4121 booktitle = {Agent-Mediated Electronic Commerce and Trading Agent Design and Analysis},
4122 publisher = {Springer Berlin Heidelberg},
4123 year = {2010},
4124 editor = {Wolfgang Ketter and Johannes A. La Poutr\'{e} and Norman Sadeh and Onn Shehory and William Walsh},
4125 volume = {44},
4126 series = {Lecture Notes in Business Information Processing},
4127 pages = {46-59},
4128 doi = {10.1007/978-3-642-15237-5\_4},
4129 isbn = {978-3-642-15236-8},
4130 url = {http://dx.doi.org/10.1007/978-3-642-15237-5\_4}
4131}
4132
4133@INCOLLECTION{Hin08quashort,
4134 author = {Hindriks, Koen V. and Tykhonov, Dmytro},
4135 title = {Towards a Quality Assessment Method for Learning Preference Profiles
4136 in Negotiation},
4137 booktitle = {Agent-Mediated Electronic Commerce and Trading Agent Design and Analysis},
4138 publisher = {Springer Berlin Heidelberg},
4139 year = {2010},
4140 isbn = {978-3-642-15236-8},
4141 owner = {Mark},
4142 timestamp = {2013.04.20}
4143}
4144
4145@INPROCEEDINGS{Hin08opp,
4146 author = {Hindriks, Koen V. and Tykhonov, Dmytro},
4147 title = {Opponent modelling in Automated Multi-issue Negotiation Using Bayesian
4148 Learning},
4149 booktitle = {Proceedings of the 7th international joint conference on Autonomous
4150 agents and multiagent systems},
4151 volume = {1},
4152 year = {2008},
4153 series = {AAMAS '08},
4154 pages = {331--338},
4155 address = {Richland, SC},
4156 publisher = {International Foundation for Autonomous Agents and Multiagent Systems},
4157 acmid = {1402433},
4158 isbn = {978-0-9817381-0-9},
4159 keywords = {Bayesian learning, automated multi-issue negotiation, opponent modelling,
4160 preference profiles},
4161 location = {Estoril, Portugal},
4162 numpages = {8},
4163 url = {http://dl.acm.org/citation.cfm?id=1402383.1402433}
4164}
4165
4166@INPROCEEDINGS{Hin08oppshort,
4167 author = {Hindriks, Koen V. and Tykhonov, Dmytro},
4168 title = {Opponent modelling in Automated Multi-issue Negotiation Using Bayesian
4169 Learning},
4170 booktitle = {Proceedings of the 7th international joint conference on Autonomous
4171 agents and multiagent systems},
4172 volume = {1},
4173 year = {2008},
4174 acmid = {1402433},
4175 isbn = {978-0-9817381-0-9},
4176 location = {Estoril, Portugal},
4177 numpages = {8},
4178 owner = {Mark},
4179 timestamp = {2013.04.20}
4180}
4181
4182@MISC{Hin08qua2,
4183 author = {Hindriks, Koen V. and Tykhonov, Dmytro},
4184 title = {Towards a Quality Assessment Method for Learning Preference Profiles
4185 in Negotiation},
4186 year = {2008},
4187 pages = {64-71}
4188}
4189
4190@MISC{Hin08HuCom,
4191 author = {Hindriks, Koen V. and Tykhonov, Dmytro and de Weerdt, Mathijs},
4192 title = {Approximating an Auction Mechanism by Multi-Issue Negotiation},
4193 month = {Dec},
4194 year = {2008},
4195 pages = {33-38}
4196}
4197
4198@MISC{Hin09app,
4199 author = {Hindriks, Koen V. and Tykhonov, Dmytro and de Weerdt, Mathijs M.},
4200 title = {Approximating the Qualitative Vickrey Auction by a Negotiation Protocol},
4201 year = {2009}
4202}
4203
4204@BOOK{hodgson1996thinking,
4205 title = {Thinking on your feet in negotiations},
4206 publisher = {Pitman Great Britain, UK},
4207 year = {1996},
4208 author = {Hodgson, J. and Institute of Management (Great Britain)}
4209}
4210
4211@INPROCEEDINGS{Hou04,
4212 author = {Chongming Hou},
4213 title = {Predicting agents tactics in automated negotiation},
4214 booktitle = {Proceedings of the IEEE/WIC/ACM International Conference on Intelligent Agent Technology},
4215 year = {2004},
4216 doi={10.1109/IAT.2004.1342934},
4217 month={Sep},
4218 pages = {127--133},
4219 publisher = {IEEE Computer Society},
4220 owner = {---},
4221 timestamp = {2011.07.03}
4222}
4223
4224@ARTICLE{Hua08,
4225 author = {Huang, Shiu-li and Lin, Fu-ren},
4226 title = {Using temporal-difference learning for multi-agent bargaining},
4227 journal = {Electron. Commer. Rec. Appl.},
4228 year = {2008},
4229 volume = {7},
4230 pages = {432--442},
4231 month = {Dec},
4232 acmid = {1466114},
4233 address = {Amsterdam, The Netherlands, The Netherlands},
4234 issn = {1567-4223},
4235 issue = {4},
4236 numpages = {11},
4237 owner = {Mark},
4238 publisher = {Elsevier Science Publishers B. V.},
4239 timestamp = {2013.02.08}
4240}
4241
4242@INPROCEEDINGS{Lit13,
4243 author = {Litan Ilany and Ya'akov Gal},
4244 title = {Algorithm Selection in Bilateral Negotiation},
4245 booktitle = {Proceedings of The Sixth International Workshop on Agent-based Complex
4246 Automated Negotiations (ACAN 2013)},
4247 year = {2013},
4248 owner = {Mark},
4249 timestamp = {2013.06.21}
4250}
4251
4252@Article{Lit15,
4253 author = {Ilany, Litan and Gal, Ya'akov},
4254 title = {Algorithm selection in bilateral negotiation},
4255 journal = {Autonomous Agents and Multi-Agent Systems},
4256 year = {2015},
4257 pages = {1-27},
4258 doi = {10.1007/s10458-015-9302-8},
4259 issn = {1387-2532},
4260 keywords = {Multi-agent negotiation under incomplete information; Empirical methods; GENIUS framework; Algorithm selection},
4261 language = {English},
4262 publisher = {Springer US},
4263 url = {http://dx.doi.org/10.1007/s10458-015-9302-8},
4264}
4265
4266@INPROCEEDINGS{Ito07,
4267 author = {Ito, Takayuki and Hattori, Hiromitsu and Klein, Mark},
4268 title = {Multi-issue negotiation protocol for agents: exploring nonlinear utility spaces},
4269 booktitle = {Proceedings of the 20th international joint conference on artifical
4270 intelligence},
4271 year = {2007},
4272 series = {IJCAI'07},
4273 pages = {1347--1352},
4274 address = {San Francisco, CA, USA},
4275 publisher = {Morgan Kaufmann Publishers Inc.},
4276 acmid = {1625493},
4277 location = {Hyderabad, India},
4278 numpages = {6},
4279 url = {http://dl.acm.org/citation.cfm?id=1625275.1625493}
4280}
4281
4282@ARTICLE{Ito08,
4283 author = {Ito, Takayuki and Klein, Mark and Hattori, Hiromitsu},
4284 title = {A multi-issue negotiation protocol among agents with nonlinear utility
4285 functions},
4286 journal = {Multiagent and Grid Systems},
4287 year = {2008},
4288 volume = {4},
4289 pages = {67--83},
4290 number = {1},
4291 month = {Jan},
4292 acmid = {1378678},
4293 address = {Amsterdam, The Netherlands, The Netherlands},
4294 issn = {1574-1702},
4295 keywords = {Multi-issue negotiation, multi-agent systems, non-linear utility},
4296 numpages = {17},
4297 publisher = {IOS Press},
4298 url = {http://dl.acm.org/citation.cfm?id=1378675.1378678}
4299}
4300
4301@ARTICLE{Ito08short,
4302 author = {Ito, Takayuki and Klein, Mark and Hattori, Hiromitsu},
4303 title = {A multi-issue negotiation protocol among agents with nonlinear utility
4304 functions},
4305 journal = {Multiagent and Grid Systems},
4306 year = {2008},
4307 volume = {4},
4308 pages = {67--83},
4309 number = {1},
4310 month = {Jan},
4311 acmid = {1378678},
4312 address = {Amsterdam, The Netherlands, The Netherlands},
4313 issn = {1574-1702},
4314 issue_date = {January 2008},
4315 keywords = {Multi-issue negotiation, multi-agent systems, non-linear utility},
4316 numpages = {17},
4317 publisher = {IOS Press}
4318}
4319
4320@ARTICLE{Jaz11Softcomputing,
4321 author = {Jazayeriy, Hamid and Azmi-Murad, Masrah and Sulaiman, Md. Nasir and Udzir, Nur Izura},
4322 title = {A review on soft computing techniques in automated negotiation},
4323 journal = {Scientific Research and Essays},
4324 year = {2011},
4325 volume = {6},
4326 pages = {5100--5106},
4327 number = {24},
4328 owner = {Mark},
4329 timestamp = {2012.01.11}
4330}
4331
4332@ARTICLE{Jaz11Preferences,
4333 author = {Jazayeriy, Hamid AND Azmi-Murad, Masrah AND Sulaiman, Nasir AND Izura
4334 Udizir, Nur},
4335 title = {The Learning of an Opponent's Approximate Preferences in Bilateral
4336 Automated Negotiation},
4337 journal = {Journal of theoretical and applied electronic commerce research},
4338 year = {2011},
4339 volume = {6},
4340 pages = {65--84},
4341 number = {3},
4342 month = {Dec},
4343 issn = {0718-1876},
4344 owner = {Mark},
4345 publisher = {SciELO Chile},
4346 timestamp = {2012.04.16}
4347}
4348
4349@ARTICLE{Jen01,
4350 author = {Jennings, Nicholas R. and Faratin, Peyman and Lomuscio, Alessio R. and Parsons, Simon and Wooldridge, Michael J. and Sierra, Carles},
4351 title = {Automated Negotiation: Prospects, Methods and Challenges},
4352 journal = {Group Decision and Negotiation},
4353 year = {2001},
4354 volume = {10},
4355 pages = {199--215},
4356 number = {2},
4357 issn = {0926-2644},
4358 language = {English},
4359 owner = {tim},
4360 publisher = {Kluwer Academic Publishers},
4361 timestamp = {2010.04.15}
4362}
4363
4364@INPROCEEDINGS{Jen92,
4365 author = {Nicholas R. Jennings and E.H. Mamdani},
4366 title = {Using Joint Responsibility to Coordinate Collaborative Problem Solving in Dynamic Environments},
4367 booktitle = {10th National Conf. on Artificial Intelligence (AAAI-92)},
4368 year = {1992},
4369 pages = {269--275},
4370 abstract = {Joint responsibility is a new meta-level description of how cooperating
4371 agents should behave when engaged in collaborative problem solving.
4372 It is dependent of any specific planning or concensus forming mechanism,
4373 but can be mapped down to such a level. An application of the framework
4374 to the real world problem of electricity transportation management
4375 is given and its implementation is discussed. A comparative analysis
4376 of responsibility and two other group organisational structures,
4377 selfish problem solvers and communities in which collaborative behaviour
4378 emerges from interactions, is undertaken. The aim being to evaluatetheir
4379 relative performance characteristics in dynamic and unpredictable
4380 environments in which decisions are taken using partial, imprecise
4381 views of the system.},
4382 url = {http://eprints.soton.ac.uk/252131/}
4383}
4384
4385@book{Jenk77,
4386 title={Optimal Data Classification For Choropleth Maps},
4387 author={Jenks, George F. and University of Kansas, Dept. of Geography},
4388 series={Occasional paper},
4389 url={http://books.google.nl/books?id=HvAENQAACAAJ},
4390 year={1977},
4391 publisher={University of Kansas}
4392}
4393
4394@book{Jol05,
4395title = {Principal Component Analysis},
4396author = {Jolliffe, Ian},
4397publisher = {John Wiley \& Sons, Ltd},
4398isbn = {9780470013199},
4399url = {http://dx.doi.org/10.1002/0470013192.bsa501},
4400doi = {10.1002/0470013192.bsa501},
4401keywords = {dimension reduction, factor analysis, multivariate analysis, variance maximization},
4402booktitle = {Encyclopedia of Statistics in Behavioral Science},
4403year = {2005},
4404abstract = {When large multivariate datasets are analyzed, it is often desirable to reduce their dimensionality. Principal component analysis is one technique for doing this. It replaces the p original variables by a smaller number, q, of derived variables, the principal components, which are linear combinations of the original variables. Often, it is possible to retain most of the variability in the original variables with q very much smaller than p. Despite its apparent simplicity, principal component analysis has a number of subtleties, and it has many uses and extensions. A number of choices associated with the technique are briefly discussed, namely, covariance or correlation, how many components, and different normalization constraints, as well as confusion with factor analysis. Various uses and extensions are outlined.},
4405}
4406
4407
4408@ARTICLE{jones1996brief,
4409 author = {Jones, Michael C. and Marron, James S. and Sheather, Simon J.},
4410 title = {A Brief Survey of Bandwidth Selection for Density Estimation},
4411 journal = {Journal of the American Statistical Association},
4412 year = {1996},
4413 volume = {91},
4414 pages = {401--407},
4415 number = {433},
4416 doi = {10.1080/01621459.1996.10476701},
4417 eprint = {http://www.tandfonline.com/doi/pdf/10.1080/01621459.1996.10476701},
4418 timestamp = {2011.07.01},
4419 url = {http://www.tandfonline.com/doi/abs/10.1080/01621459.1996.10476701}
4420}
4421
4422@INPROCEEDINGS{Sie12,
4423 author = {de Jonge, D. and Sierra, C.},
4424 title = {Automated Negotiation for Package Delivery},
4425 booktitle = {IEEE Sixth International Conference on Self-Adaptive and Self-Organizing Systems Workshops},
4426 year = {2012},
4427 pages = {83-88},
4428 doi = {10.1109/SASOW.2012.23},
4429 keywords = {algorithm theory;goods distribution;travelling salesman problems;tree
4430 searching;automated negotiation algorithm;package delivery company;profit;Automated
4431 Negotiation;Branch and Bound;Non-linear Utility;Package Delivery;Search}
4432}
4433
4434@INPROCEEDINGS{Jon04,
4435 author = {Jonker, Catholijn M. and Robu, Valentin},
4436 title = {Automated Multi-Attribute Negotiation with Efficient Use of Incomplete
4437 Preference Information},
4438 booktitle = {Proceedings of the Third International Joint Conference on Autonomous
4439 Agents and Multiagent Systems},
4440 volume = {3},
4441 year = {2004},
4442 series = {AAMAS '04},
4443 pages = {1054--1061},
4444 address = {Washington, DC, USA},
4445 publisher = {IEEE Computer Society},
4446 acmid = {1018874},
4447 doi = {10.1109/AAMAS.2004.70},
4448 isbn = {1-58113-864-4},
4449 location = {New York, NY, USA},
4450 numpages = {8},
4451 url = {http://dx.doi.org/10.1109/AAMAS.2004.70}
4452}
4453
4454@ARTICLE{Jon07,
4455 author = {Jonker, Catholijn M. and Robu, Valentin and Treur, Jan},
4456 title = {An agent architecture for multi-attribute negotiation using incomplete preference information},
4457 journal = {Autonomous Agents and Multi-Agent Systems},
4458 year = {2007},
4459 volume = {15},
4460 pages = {221-252},
4461 abstract = {(ABMP paper) A component-based generic agent architecture for multi-attribute
4462 (integrative) negotiation is introduced and its application is described
4463 in a prototype system for negotiation about cars, developed in cooperation
4464 with, among others, Dutch Telecom KPN. The approach can be characterized
4465 as cooperative one-to-one multi-criteria negotiation in which the
4466 privacy of both parties is protected as much as desired. We model
4467 a mechanism in which agents are able to use any amount of incomplete
4468 preference information revealed by the negotiation partner in order
4469 to improve the efficiency of the reached agreements. Moreover, we
4470 show that the outcome of such a negotiation can be further improved
4471 by incorporating a guessing heuristic, by which an agent uses the
4472 history of the opponent's bids to predict his preferences. Experimental
4473 evaluation shows that the combination of these two strategies leads
4474 to agreement points close to or on the Pareto-efficient frontier.
4475 The main original contribution of this paper is that it shows that
4476 it is possible for parties in a cooperative negotiation to reveal
4477 only a limited amount of preference information to each other, but
4478 still obtain significant joint gains in the outcome.},
4479 affiliation = {Delft University of Technology Faculty of Electrical Engineering,
4480 Mathematics and Computer Science Mekelweg 4 2628 CD Delft The Netherlands},
4481 issn = {1387-2532},
4482 issue = {2},
4483 keyword = {Computer Science},
4484 publisher = {Springer Netherlands},
4485 url = {http://dx.doi.org/10.1007/s10458-006-9009-y}
4486}
4487
4488@INPROCEEDINGS{Jon01,
4489 author = {Catholijn M. Jonker and Jan Treur},
4490 title = {An Agent Architecture for Multi-Attribute Negotiation},
4491 booktitle = {Proceedings of IJCAI'01},
4492 year = {2001},
4493 pages = {1195-1201}
4494}
4495
4496@ARTICLE{Jon07PN,
4497 author = {Jonker, Catholijn M.},
4498 title = {The pocket negotiator, synergy between man and machine},
4499 journal = {{NWO} Grant proposal},
4500 year = {2007},
4501 url = {http://ii.tudelft.nl/negotiation/images/2/25/Pocket\_negotiator.pdf}
4502}
4503
4504@ARTICLE{Kael96,
4505 author = {Kaelbling, L.P. and Littman, M.L. and Moore, A.W.},
4506 title = {Reinforcement learning: A survey},
4507 journal = {Journal of Artificial Intelligence Research},
4508 year = {1996},
4509 volume = {4},
4510 pages = {237--285},
4511 owner = {Mark},
4512 timestamp = {2012.01.08}
4513}
4514
4515@INCOLLECTION{Kam09,
4516 author = {Kamphorst, Bart and Wissen, Arlette and Dignum, Virginia},
4517 title = {Incorporating BDI Agents into Human-Agent Decision Making Research},
4518 booktitle = {Engineering Societies in the Agents World X},
4519 publisher = {Springer Berlin Heidelberg},
4520 year = {2009},
4521 editor = {Aldewereld, Huib and Dignum, Virginia and Picard, Gauthier},
4522 volume = {5881},
4523 series = {Lecture Notes in Computer Science},
4524 pages = {84-97},
4525 doi = {10.1007/978-3-642-10203-5\_8},
4526 isbn = {978-3-642-10202-8},
4527 url = {http://dx.doi.org/10.1007/978-3-642-10203-5\_8}
4528}
4529
4530@INPROCEEDINGS{Kar04,
4531 author = {Karp, Alan H. and Wu, Ren and Chen, Kay-yut and Zhang, Alex},
4532 title = {A game tree strategy for automated negotiation},
4533 booktitle = {Proceedings of the 5th ACM conference on Electronic commerce},
4534 year = {2004},
4535 series = {EC '04},
4536 pages = {228--229},
4537 address = {New York, NY, USA},
4538 publisher = {ACM},
4539 acmid = {988807},
4540 doi = {10.1145/988772.988807},
4541 isbn = {1-58113-771-0},
4542 keywords = {automated negotiation},
4543 location = {New York, NY, USA},
4544 numpages = {2},
4545 url = {http://doi.acm.org/10.1145/988772.988807}
4546}
4547
4548@INPROCEEDINGS{ANAC2010KawExt,
4549 author = {Shogo Kawaguchi and Katsuhide Fujita and Takayuki Ito},
4550 title = {Compromising Strategy based on Estimated Maximum Utility for Automated
4551 Negotiating Agents},
4552 booktitle = {New Trends in Agent-based Complex Automated Negotiations, Series
4553 of Studies in Computational Intelligence},
4554 year = {2012},
4555 editor = {Takayuki Ito and Minjie Zhang and Valentin Robu and Shaheen Fatima
4556 and Tokuro Matsuo},
4557 pages = {137-144},
4558 address = {Berlin, Heidelberg},
4559 publisher = {Springer-Verlag},
4560 isbn = {978-3-642-24695-1},
4561 owner = {tim},
4562 url = {http://link.springer.com/content/pdf/10.1007%2F978-3-642-24696-8_8}
4563}
4564
4565@INCOLLECTION{Kaw12,
4566 author = {Kawaguchi, Shogo and Fujita, Katsuhide and Ito, Takayuki},
4567 title = {{AgentK}: Compromising Strategy based on Estimated Maximum Utility
4568 for Automated Negotiating Agents},
4569 booktitle = {New Trends in Agent-Based Complex Automated Negotiations},
4570 publisher = {Springer Berlin Heidelberg},
4571 year = {2012},
4572 editor = {Ito, Takayuki and Zhang, Minjie and Robu, Valentin and Fatima, Shaheen
4573 and Matsuo, Tokuro},
4574 volume = {383},
4575 series = {Studies in Computational Intelligence},
4576 pages = {137-144},
4577 doi = {10.1007/978-3-642-24696-8\_8},
4578 isbn = {978-3-642-24695-1},
4579 language = {English},
4580 owner = {Mark},
4581 timestamp = {2013.06.24},
4582 url = {http://dx.doi.org/10.1007/978-3-642-24696-8\_8}
4583}
4584
4585@INCOLLECTION{ANAC2011Kaw,
4586 author = {Kawaguchi, Shogo and Fujita, Katsuhide and Ito, Takayuki},
4587 title = {{AgentK2}: Compromising Strategy Based on Estimated Maximum Utility
4588 for Automated Negotiating Agents},
4589 booktitle = {Complex Automated Negotiations: Theories, Models, and Software Competitions},
4590 publisher = {Springer Berlin Heidelberg},
4591 year = {2013},
4592 editor = {Ito, Takayuki and Zhang, Minjie and Robu, Valentin and Matsuo, Tokuro},
4593 volume = {435},
4594 series = {Studies in Computational Intelligence},
4595 pages = {235-241},
4596 doi = {10.1007/978-3-642-30737-9\_19},
4597 isbn = {978-3-642-30736-2},
4598 url = {http://dx.doi.org/10.1007/978-3-642-30737-9\_19}
4599}
4600
4601@INCOLLECTION{ANAC2010KawExt2,
4602 author = {Kawaguchi, Shogo and Fujita, Katsuhide and Ito, Takayuki},
4603 title = {Compromising Strategy Based on Estimated Maximum Utility for Automated
4604 Negotiation Agents Competition ({ANAC}-10)},
4605 booktitle = {Modern Approaches in Applied Intelligence},
4606 publisher = {Springer Berlin Heidelberg},
4607 year = {2011},
4608 editor = {Mehrotra, Kishan G. and Mohan, Chilukuri K. and Oh, Jae C. and Varshney,
4609 Pramod K. and Ali, Moonis},
4610 volume = {6704},
4611 series = {Lecture Notes in Computer Science},
4612 pages = {501-510},
4613 doi = {10.1007/978-3-642-21827-9\_51},
4614 isbn = {978-3-642-21826-2},
4615 url = {http://dx.doi.org/10.1007/978-3-642-21827-9\_51}
4616}
4617
4618@INCOLLECTION{ANAC2011Kawshort,
4619 author = {Kawaguchi, Shogo and Fujita, Katsuhide and Ito, Takayuki},
4620 title = {AgentK2: Compromising Strategy Based on Estimated Maximum Utility
4621 for Automated Negotiating Agents},
4622 booktitle = {Complex Automated Negotiations: Theories, Models, and Software Competitions},
4623 publisher = {Springer Berlin Heidelberg},
4624 year = {2013},
4625 pages = {235-241},
4626 doi = {10.1007/978-3-642-30737-9\_19},
4627 isbn = {978-3-642-30736-2},
4628 url = {http://dx.doi.org/10.1007/978-3-642-30737-9\_19}
4629}
4630
4631@INCOLLECTION{ANAC2011Kawshorter,
4632 author = {Kawaguchi, Shogo and Fujita, Katsuhide and Ito, Takayuki},
4633 title = {{AgentK2}: Compromising Strategy Based on Estimated Maximum Utility
4634 for Automated Negotiating Agents},
4635 booktitle = {Complex Automated Negotiations: Theories, Models, and Software Competitions},
4636 publisher = {Springer Berlin Heidelberg},
4637 year = {2013},
4638 pages = {235-241},
4639 isbn = {978-3-642-30736-2},
4640 owner = {Mark},
4641 timestamp = {2013.04.20}
4642}
4643
4644@ARTICLE{ANAC2010Kaw,
4645 author = {Shogo Kawaguchi and Katsuhide Fujita and Takayuki Ito},
4646 title = {Compromising Strategy based on Estimated Maximum Utility for Automated
4647 Negotiating Agents},
4648 journal = {This volume},
4649 year = {2012},
4650 pages = {137-144}
4651}
4652
4653@BOOK{Kee76,
4654 title = {Decisions with Multiple Objectives},
4655 publisher = {Cambridge University Press},
4656 year = {1976},
4657 author = {Keeney, Ralph L. and Raiffa, Howard}
4658}
4659
4660@article{Ker13,
4661title = "Concession-making in multi-attribute auctions and multi-bilateral negotiations: Theory and experiments",
4662journal = "Electronic Commerce Research and Applications",
4663volume = "12",
4664number = "3",
4665pages = "166-180",
4666year = "2013",
4667note = "Negotiation and E-Commerce",
4668issn = "1567-4223",
4669doi = "http://dx.doi.org/10.1016/j.elerap.2013.02.002",
4670url = "http://www.sciencedirect.com/science/article/pii/S1567422313000136",
4671author = "Gregory E. Kersten and Rustam M. Vahidov and Dmitry Gimon",
4672keywords = "Online auctions",
4673}
4674
4675@ARTICLE{Ker07,
4676 author = {Kersten, Gregory E. and Lai, Hsiangchu},
4677 title = {Negotiation Support and E-negotiation Systems: An Overview},
4678 journal = {Group Decision and Negotiation},
4679 year = {2007},
4680 volume = {16},
4681 pages = {553-586},
4682 number = {6},
4683 doi = {10.1007/s10726-007-9095-5},
4684 issn = {0926-2644},
4685 keywords = {Negotiation support systems; Electronic negotiations; NSS research;
4686 NSS applications; ENS research; ENS applications; Negotiation software
4687 agents; Negotiation software assistants},
4688 language = {English},
4689 publisher = {Springer Netherlands},
4690 url = {http://dx.doi.org/10.1007/s10726-007-9095-5}
4691}
4692
4693@ARTICLE{Ker99,
4694 author = {G.E. Kersten and S.J. Noronha},
4695 title = {{WWW}-based negotiation support: design, implementation, and use},
4696 journal = {Decision Support Systems},
4697 year = {1999},
4698 volume = {25},
4699 pages = {135-154},
4700 number = {2}
4701}
4702
4703@ARTICLE{Ker97,
4704 author = {Kersten, G.E. and Noronha, S.J.},
4705 title = {Rational agents, contract curves, and inefficient compromises},
4706 journal = {Trans. Sys. Man Cyber. Part A},
4707 year = {1998},
4708 volume = {28},
4709 pages = {326--338},
4710 number = {3},
4711 month = {May},
4712 abstract = {Several studies of two-party negotiations have shown that negotiators
4713 more often than not reach inefficient compromises. We analyze the
4714 circumstances under which rational agents make inefficient compromises
4715 and refrain from improving them. We do this by describing and interpreting
4716 various negotiation situations and by developing formal constructs
4717 and theorems for determining the character of a negotiation situation.
4718 Key among these concepts is the notion of opposition. Although opposition
4719 is defined in terms of the utility functions, it is more fundamental
4720 in the sense that it is more intuitive to decision makers and can
4721 be used in contexts in which the parties' utilities are unknown or
4722 are partially known. The effects of various rationality assumptions
4723 on efficiency and their implications for negotiation support systems
4724 are discussed. We argue that the prescriptive/descriptive approach
4725 advocated by negotiation analysts lacks sufficient explanatory powers
4726 to be effectively used in negotiation support and that negotiation
4727 support systems should not constrain the parties to the set of efficient
4728 points.},
4729 acmid = {2229474},
4730 address = {Piscataway, NJ, USA},
4731 doi = {10.1109/3468.668964},
4732 issn = {1083-4427},
4733 issue_date = {May 1998},
4734 numpages = {13},
4735 publisher = {IEEE Press},
4736 url = {http://dx.doi.org/10.1109/3468.668964}
4737}
4738
4739@ARTICLE{Ker03,
4740 author = {Gregory E. Kersten and Grant Zhang},
4741 title = {Mining Inspire Data for the Determinants of Successful Internet Negotiations},
4742 journal = {Central European Journal of Operational Research},
4743 year = {2003},
4744 volume = {11},
4745 pages = {297--316},
4746 number = {3},
4747 owner = {tim},
4748 timestamp = {2010.06.25}
4749}
4750
4751@ARTICLE{Ket01,
4752 author = {Ketter, Wolfgang and Collins, John and Reddy, Prashant and Flath, Christoph and de Weerdt, Mathijs},
4753 title = {The Power Trading Agent Competition},
4754 journal = {ERIM Report Series Reference No. ERS-2011-027-LIS},
4755 year = {2011}
4756}
4757
4758@ARTICLE{Kje05,
4759 author = {Kjerstad, Egil},
4760 title = {Auctions vs Negotiations: A Study of Price Differentials},
4761 journal = {Econometrics and Health Economics},
4762 year = {2005},
4763 volume = {14},
4764 pages = {1239-1251},
4765 number = {12}
4766}
4767
4768@INPROCEEDINGS{Klau01,
4769 author = {Klaue, S. and Kurbel, K. and Loutchko, I.},
4770 title = {Automated negotiation on agent-based e-marketplaces: an overview},
4771 booktitle = {Proceedings of 14th Bled Electronic Commerce Conference},
4772 year = {2001},
4773 pages = {508--519},
4774 organization = {Citeseer},
4775 owner = {---},
4776 timestamp = {2011.06.24}
4777}
4778
4779@article{Kle13,
4780title = "From problems to protocols: Towards a negotiation handbook",
4781journal = "Decision Support Systems",
4782volume = "60",
4783number = "0",
4784pages = "39--54",
4785year = "2014",
4786note = "Automated Negotiation Technologies and their Applications",
4787issn = "0167-9236",
4788doi = "http://dx.doi.org/10.1016/j.dss.2013.05.019",
4789url = "http://www.sciencedirect.com/science/article/pii/S016792361300167X",
4790author = "Ivan Marsa-Maestre and Mark Klein and Catholijn M. Jonker and Reyhan Aydo{\u{g}}an",
4791keywords = "Automated negotiation",
4792}
4793
4794@ARTICLE{Kle03,
4795 author = {Klein, Mark and Faratin, Peyman and Sayama, Hiroki and Bar-Yam, Yaneer},
4796 title = {Negotiating Complex Contracts},
4797 journal = {Group Decision and Negotiation},
4798 year = {2003},
4799 volume = {12},
4800 pages = {111-125},
4801 abstract = {Work to date on computational models of negotiation has focused almost
4802 exclusively on defining contracts consisting of one or a few independent
4803 issues and tractable contract spaces. Many real-world contracts,
4804 by contrast, are much more complex, consisting of multiple inter-dependent
4805 issues and intractably large contract spaces. This paper describes
4806 a simulated annealing based approach appropriate for negotiating
4807 such complex contracts that achieves near-optimal social welfares
4808 for negotiations with binary issue dependencies.},
4809 issn = {0926-2644},
4810 issue = {2},
4811 keyword = {Business and Economics},
4812 publisher = {Springer Netherlands},
4813 url = {http://dx.doi.org/10.1023/A:1023068821218}
4814}
4815
4816@ARTICLE{Kle89,
4817 author = {Mark Klein and Stephen C.-Y. Lu},
4818 title = {Conflict resolution in cooperative design},
4819 journal = {Artificial Intelligence in Engineering},
4820 year = {1989},
4821 volume = {4},
4822 pages = {168 - 180},
4823 number = {4},
4824 abstract = {Complex modern-day artifacts are designed by groups of experts, each
4825 with their own areas of expertise. Current approaches to group design
4826 are often serial and iterative in nature, which can be time-consuming
4827 as well as leading to poor designs that are expensive to realize.
4828 New models for cooperative group design, which emphasize the parallel
4829 interaction of the design experts involved, are needed. A central
4830 issue in cooperative group design concerns how conflicts among different
4831 experts can be resolved as the design is being produced. This paper
4832 proposes a model for how such conflict resolution can take place,
4833 and describes the results of a study aimed at verifying and instantiating
4834 this model by examining conflict resolution among human experts in
4835 the domain of architectural design. The study yielded four main conclusions:
4836 (1) conflict resolution plays a central role in cooperative design,
4837 (2) a rich collection of domain-independent conflict resolution expertise
4838 can be identified, (3) we need to represent the design rationale
4839 to support conflict resolution, and (4) knowledge acquisition in
4840 cooperative design presents special challenges and requires special
4841 techniques. We include a description of the conflict resolution expertise
4842 we uncovered. },
4843 doi = {http://dx.doi.org/10.1016/0954-1810(89)90013-7},
4844 issn = {0954-1810},
4845 keywords = {conflict resolution},
4846 url = {http://www.sciencedirect.com/science/article/pii/0954181089900137}
4847}
4848
4849@ARTICLE{Klo10,
4850 author = {Tomas B. Klos and Koye Somefun and Johannes A. La Poutr{\'e}},
4851 title = {Automated Interactive Sales Processes},
4852 journal = {IEEE Intelligent Systems},
4853 year = {2011},
4854 volume = {26},
4855 pages = {54-61},
4856 number = {4},
4857 address = {Los Alamitos, CA, USA},
4858 doi = {http://doi.ieeecomputersociety.org/10.1109/MIS.2010.34},
4859 issn = {1541-1672},
4860 publisher = {IEEE Computer Society}
4861}
4862
4863@ARTICLE{Kol12,
4864 author = {Kolomvatsos, Kostas and Hadjiefthymiades, Stathes},
4865 title = {Buyer behavior adaptation based on a fuzzy logic controller and prediction techniques},
4866 journal = {Fuzzy Sets and Systems},
4867 year = {2012},
4868 volume = {189},
4869 pages = {30--52},
4870 number = {1},
4871 owner = {Mark},
4872 publisher = {Elsevier},
4873 timestamp = {2013.02.02}
4874}
4875
4876@article{Kol13,
4877 author = {Kolomvatsos, Kostas and Hadjieftymiades, Stathes},
4878 title = {On the Use of Particle Swarm Optimization and Kernel Density Estimator in Concurrent Negotiations},
4879 journal = {Information Sciences},
4880 issue_date = {March, 2014},
4881 volume = {262},
4882 month = {Mar},
4883 year = {2014},
4884 issn = {0020-0255},
4885 pages = {99--116},
4886 numpages = {18},
4887 url = {http://dx.doi.org/10.1016/j.ins.2013.10.025},
4888 doi = {10.1016/j.ins.2013.10.025},
4889 acmid = {2574660},
4890 publisher = {Elsevier Science Inc.},
4891 address = {New York, NY, USA},
4892 keywords = {Concurrent negotiations, Kernel density estimator, Particle Swarm Optimization, Swarm intelligence},
4893 abstract = {Abstract Electronic Marketplaces (EMs) can offer a number of advantages
4894 for users searching for products. In EMs, Intelligent Agents (IAs)
4895 can undertake the responsibility of representing buyers and sellers
4896 and negotiate over the conclusion of purchases. For this purpose,
4897 a negotiation is held between IAs. The most important characteristics
4898 are the deadline and the pricing strategy. The strategy defines the
4899 proposed prices at every round of the negotiation. We focus on the
4900 buyer side. We study concurrent negotiations between a buyer and
4901 a set of sellers. In this setting, the buyer utilizes a number of
4902 threads. Each thread follows a specific strategy and adopts swarm
4903 intelligence techniques for achieving the optimal agreement. The
4904 Particle Swarm Optimization (PSO) algorithm is adopted by each thread.
4905 Our architecture requires no central coordination. In real situations,
4906 there is absolutely no knowledge for the characteristics of the involved
4907 entities. In this paper, we model such kind of uncertainty through
4908 known techniques for estimating the distribution of deadlines and
4909 strategies. One of them is the Kernel Density Estimation (KDE) technique.
4910 Our experimental results depict the time interval where the agreement
4911 is possible and the efficiency of the proposed model. },
4912}
4913
4914@article{Kol13optstop,
4915 volume = {99},
4916 month = {Sep},
4917 title = {Determining the optimal stopping time for automated negotiations},
4918 author = {Kostas Kolomvatsos and Christos Anagnostopoulos and Stathes Hadjiefthymiades},
4919 year = {2013},
4920 pages = {1--1},
4921 journal = {IEEE Transactions on Systems, Man, and Cybernetics: Systems},
4922 url = {http://eprints.gla.ac.uk/86008/},
4923 abstract = {Electronic markets are virtual frameworks where entities not known in advance have the opportunity to interact for the trading of products or services. Usually, a negotiation is necessary for the conclusion of the transaction. The conclusion is either positive (agreement) or negative (conflict). An efficient reasoning mechanism is necessary for players participating in negotiations. In this paper, we focus on the buyer side and propose two decision models based on the optimal stopping theory (OST). OST is proved to be very efficient in cases where an entity tries to find the time to stop a process with the aim of maximizing her utility. The outcome of the proposed decision method indicates whether the buyer stops a negotiation either by accepting the offer or continuing in the negotiation by rejecting it. In our models, we assume zero knowledge on the players' characteristics. Our proposed decision models do not require any complex modeling or any information provided by experts. Experimental results reveal the efficiency of each model and provide a comparison assessment with other research efforts.}
4924}
4925
4926@INPROCEEDINGS{Kow10,
4927isbn={978-3-540-00742-5},
4928volume={2592},
4929author={Kowalczyk, Ryszard and Ulieru, Mihaela and Unland, Rainer},
4930 title = {Integrating mobile and intelligent agents in advanced E-commerce:
4931 A survey},
4932 doi={10.1007/3-540-36559-1_22},
4933 series={Lecture Notes in Computer Science},
4934 booktitle = {Agent Technologies, Infrastructures, Tools, and Applications for
4935 E-Services},
4936 editor={Carbonell, Jaime G. and Siekmann, J\"{o}rg and Kowalczyk, Ryszard and M\"{u}ller, J\"{o}rg P. and Tianfield, Huaglory and Unland, Rainer},
4937 year = {2003},
4938 pages = {295--313},
4939publisher={Springer Berlin Heidelberg},
4940 journal = {Agent Technologies, Infrastructures, Tools, and Applications for
4941 E-Services},
4942 owner = {---},
4943 timestamp = {2011.05.22}
4944}
4945
4946@BOOK{Kra01,
4947 title = {Strategic Negotiation in Multiagent Environments},
4948 publisher = {MIT Press},
4949 year = {2001},
4950 author = {Kraus, Sarit},
4951 month = {Oct},
4952 abstract = {As computers advance from isolated workstations to linked elements
4953 in complex communities of systems and people, cooperation and coordination
4954 via intelligent agents become increasingly important. Examples of
4955 such communities include the Internet, electronic commerce, health
4956 institutions, electricity networks, and digital libraries. Sarit
4957 Kraus is concerned here with the cooperation and coordination of
4958 intelligent agents that are self-interested and usually owned by
4959 different individuals or organizations. Conflicts frequently arise,
4960 and negotiation is one of the main mechanisms for reaching agreement.
4961 Kraus presents a strategic-negotiation model that enables autonomous
4962 agents to reach mutually beneficial agreements efficiently in complex
4963 environments. The model, which integrates game theory, economic techniques,
4964 and heuristic methods of artificial intelligence, can be automated
4965 in computer systems or applied to human situations. The book provides
4966 both theoretical and experimental results.},
4967 citeulike-article-id = {3786351},
4968 howpublished = {Reli\'{e}},
4969 isbn = {0262112647},
4970 keywords = {multiagent},
4971 owner = {tim},
4972 posted-at = {2008-12-13 17:15:56},
4973 priority = {2},
4974 timestamp = {2010.03.16},
4975 url = {http://www.worldcat.org/isbn/0262112647}
4976}
4977
4978@incollection{Kra01Decision,
4979 author = {Kraus, Sarit},
4980 chapter = {Automated Negotiation and Decision Making in Multiagent Environments},
4981 title = {Mutli-agents Systems and Applications},
4982 editor = {Carbonell, Jaime G. and Siekmann, J\"{o}org},
4983 year = {2001},
4984 isbn = {3-540-42312-5},
4985 pages = {150--172},
4986 numpages = {23},
4987 url = {http://dl.acm.org/citation.cfm?id=567248.567255},
4988 acmid = {567255},
4989 publisher = {Springer-Verlag New York, Inc.},
4990 address = {New York, NY, USA},
4991}
4992
4993@ARTICLE{Kra97,
4994 author = {Sarit Kraus},
4995 title = {Negotiation and cooperation in multi-agent environments},
4996 journal = {Artificial Intelligence},
4997 year = {1997},
4998 volume = {94},
4999 pages = {79--97},
5000 number = {1-2},
5001 doi = {http://dx.doi.org/10.1016/S0004-3702(97)00025-8},
5002 issn = {0004-3702},
5003 keywords = {Distributed Artificial Intelligence},
5004 owner = {---},
5005 publisher = {Elsevier},
5006 url = {http://www.sciencedirect.com/science/article/pii/S0004370297000258}
5007}
5008
5009@ARTICLE{Kra08,
5010 author = {Sarit Kraus and Penina Hoz-Weiss and Jonathan Wilkenfeld and David
5011 R. Andersen and Amy Pate},
5012 title = {Resolving crises through automated bilateral negotiations },
5013 journal = {Artificial Intelligence },
5014 year = {2008},
5015 volume = {172},
5016 pages = {1 - 18},
5017 number = {1},
5018 abstract = {We describe the development of an automated agent that can negotiate
5019 efficiently with people in crises. The environment is characterized
5020 by two negotiators, time constraints, deadlines, full information,
5021 and the possibility of opting out. The agent can play either role,
5022 with communications via a pre-defined language. The model used in
5023 constructing the agent is based on a formal analysis of the crises
5024 scenario using game-theoretic methods and heuristics for bargaining.
5025 The agent receives messages sent by its opponent, analyzes them and
5026 responds. It also initiates discussion on one or more parameters
5027 of an agreement. Experimental results of simulations of a fishing
5028 dispute between Canada and Spain indicate that the agent played at
5029 least as well as, and in the case of Spain, significantly better
5030 than a human player. },
5031 doi = {10.1016/j.artint.2007.05.007},
5032 issn = {0004-3702},
5033 keywords = {Bilateral negotiation},
5034 url = {http://www.sciencedirect.com/science/article/pii/S0004370207001051}
5035}
5036
5037@ARTICLE{KraLeh95,
5038 author = {Sarit Kraus and Daniel Lehmann},
5039 title = {Designing and Building a Negotiating Automated Agent},
5040 journal = {Computational Intelligence},
5041 year = {1995},
5042 volume = {11},
5043 publisher = {Blackwell Publishing Ltd},
5044 pages = {132-171},
5045 doi = {10.1111/j.1467-8640.1995.tb00026.x},
5046 issn = {1467-8640},
5047 number = {1}
5048}
5049
5050@ARTICLE{Kra92,
5051 author = {S. Kraus and J. Wilkenfeld and M.A. Harris and E. Blake},
5052 title = {The Hostage Crisis Simulation},
5053 journal = {Simulation \& Gaming},
5054 year = {1992},
5055 volume = {23},
5056 pages = {398-416},
5057 number = {4}
5058}
5059
5060@ARTICLE{Kra95,
5061 author = {Sarit Kraus and Jonathan Wilkenfeld and Gilad Zlotkin},
5062 title = {Multiagent negotiation under time constraints},
5063 journal = {Artificial Intelligence},
5064 year = {1995},
5065 volume = {75},
5066 pages = {297 - 345},
5067 number = {2},
5068 abstract = {Research in distributed artificial intelligence (DAI) is concerned
5069 with how automated agents can be designed to interact effectively.
5070 Negotiation is proposed as a means for agents to communicate and
5071 compromise to reach mutually beneficial agreements. The paper examines
5072 the problems of resource allocation and task distribution among autonomous
5073 agents which can benefit from sharing a common resource or distributing
5074 a set of common tasks. We propose a strategic model of negotiation
5075 that takes the passage of time during the negotiation process itself
5076 into account. A distributed negotiation mechanism is introduced that
5077 is simple, efficient, stable, and flexible in various situations.
5078 The model considers situations characterized by complete as well
5079 as incomplete information, and ones in which some agents lose over
5080 time while others gain over time. Using this negotiation mechanism
5081 autonomous agents have simple and stable negotiation strategies that
5082 result in efficient agreements without delays even when there are
5083 dynamic changes in the environment.},
5084 doi = {DOI: 10.1016/0004-3702(94)00021-R},
5085 issn = {0004-3702},
5086 owner = {tim},
5087 timestamp = {2010.03.03},
5088 url = {http://www.sciencedirect.com/science/article/B6TYF-409W4BC-N/2/597d666d5362ae944329068f88fefa3e}
5089}
5090
5091@INCOLLECTION{ANAC2011Kri,
5092 author = {van Krimpen, Thijs and Looije, Daphne and Hajizadeh, Siamak},
5093 title = {HardHeaded},
5094 booktitle = {Complex Automated Negotiations: Theories, Models, and Software Competitions},
5095 publisher = {Springer Berlin Heidelberg},
5096 year = {2013},
5097 editor = {Ito, Takayuki and Zhang, Minjie and Robu, Valentin and Matsuo, Tokuro},
5098 volume = {435},
5099 series = {Studies in Computational Intelligence},
5100 pages = {223-227},
5101 doi = {10.1007/978-3-642-30737-9\_17},
5102 isbn = {978-3-642-30736-2},
5103 url = {http://dx.doi.org/10.1007/978-3-642-30737-9\_17}
5104}
5105
5106@INCOLLECTION{ANAC2011Krishort,
5107 author = {van Krimpen, Thijs and Looije, Daphne and Hajizadeh, Siamak},
5108 title = {HardHeaded},
5109 booktitle = {Complex Automated Negotiations: Theories, Models, and Software Competitions},
5110 publisher = {Springer Berlin Heidelberg},
5111 year = {2013},
5112 pages = {223-227},
5113 doi = {10.1007/978-3-642-30737-9\_17},
5114 isbn = {978-3-642-30736-2},
5115 url = {http://dx.doi.org/10.1007/978-3-642-30737-9\_17}
5116}
5117
5118@INCOLLECTION{ANAC2011Krishorter,
5119 author = {van Krimpen, Thijs and Looije, Daphne and Hajizadeh, Siamak},
5120 title = {HardHeaded},
5121 booktitle = {Complex Automated Negotiations: Theories, Models, and Software Competitions},
5122 publisher = {Springer Berlin Heidelberg},
5123 year = {2013},
5124 isbn = {978-3-642-30736-2},
5125 owner = {Mark},
5126 timestamp = {2013.04.20}
5127}
5128
5129@MISC{Kro93,
5130 author = {Ben Kr\"{o}se and Patrick van der Smagt},
5131 title = {An introduction to Neural Networks},
5132 year = {1993},
5133 owner = {---},
5134 timestamp = {2011.06.18}
5135}
5136
5137@ARTICLE{Kro99,
5138 author = {Krovi, R. and Graesser, A.C. and Pracht, William E.},
5139 title = {Agent behaviors in virtual negotiation environments},
5140 journal = {IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews},
5141 year = {1999},
5142 volume = {29},
5143 pages = {15-25},
5144 number = {1},
5145 abstract = {A computational prototype of negotiation behavior is presented where
5146 the following occurs: (1) agents employ different concession matching
5147 tactics; (2) agents are unaware of opponent preferences; (3) agents
5148 incur a cost for delaying settlements; (4) agents vary in terms of
5149 goal difficulty and initial offer magnitude; and (5) demands and
5150 counter-offers are made and evaluated based on the opponent's degree
5151 of concession matching. This research explores the impact of the
5152 interaction of different agent behaviors on the negotiation process
5153 and the outcome of the negotiation. Simulation experiments show that
5154 the prototype is able to manifest fundamental patterns and confirms
5155 the effectiveness of classical negotiation and mediation strategies,
5156 such as ambitious goals and aggressive concession matching tactics.
5157 The model reveals some counterintuitive patterns that may shed a
5158 new perspective on the effects of time constraints and information
5159 availability},
5160 doi = {10.1109/5326.740666},
5161 issn = {1094-6977},
5162 keywords = {adaptive systems;behavioural sciences computing;cognitive systems;digital
5163 simulation;distributed decision making;genetic algorithms;multi-agent
5164 systems;negotiation support systems;social sciences computing;adaptive
5165 systems;agent behaviors;aggressive tactics;ambitious goals;behavioral
5166 simulation;cognitive modeling;computational models;computational
5167 prototype;concession matching tactics;counter-offers;demands;distributed
5168 decision making;fundamental patterns;goal difficulty;information
5169 availability;initial offer magnitude;mediation strategies;negotiation
5170 behavior;opponent preferences;organizational models;settlement delay
5171 cost;time constraints;virtual negotiation environments;Computational
5172 modeling;Costs;Decision making;Delay;Mediation;Neurons;Pattern matching;Prototypes;Time
5173 factors;Virtual prototyping}
5174}
5175
5176@ARTICLE{Kun75,
5177 author = {Kung, H.T. and Luccio, F. and Preparata, F.P.},
5178 title = {On Finding the Maxima of a Set of Vectors},
5179 journal = {J. ACM},
5180 year = {1975},
5181 volume = {22},
5182 pages = {469--476},
5183 month = {Oct},
5184 acmid = {321910},
5185 address = {New York, NY, USA},
5186 doi = {http://doi.acm.org/10.1145/321906.321910},
5187 issn = {0004-5411},
5188 issue = {4},
5189 numpages = {8},
5190 owner = {tim},
5191 publisher = {ACM},
5192 timestamp = {2011.02.18},
5193 url = {http://doi.acm.org/10.1145/321906.321910}
5194}
5195
5196@INPROCEEDINGS{Kur01,
5197 author = {Kurbel, K. and Loutchko, I.},
5198 title = {A framework for multi-agent electronic marketplaces: analysis and
5199 classification of existing systems},
5200 booktitle = {Proceedings of International ICSC Congress on Information Science
5201 Innovations},
5202 year = {2001},
5203 organization = {Citeseer},
5204 owner = {---},
5205 timestamp = {2011.07.03}
5206}
5207
5208@TECHREPORT{Lai04,
5209 author = {Lai, Guoming and Li, Cuihong and Sycara, Katia P. and Giampapa, Joseph
5210 Andrew},
5211 title = {Literature Review on Multi-attribute Negotiations},
5212 institution = {Robotics Institute, Carnegie Mellon University},
5213 year = {2004},
5214 month = {Dec}
5215}
5216
5217@ARTICLE{Lai09,
5218 author = {Lai, Guoming and Sycara, Katia P.},
5219 title = {A Generic Framework for Automated Multi-attribute Negotiation},
5220 journal = {Group Decision and Negotiation},
5221 year = {2009},
5222 volume = {18},
5223 pages = {169-187},
5224 number = {2}
5225}
5226
5227@ARTICLE{Lai08,
5228 author = {Lai, Guoming and Sycara, Katia P. and Li, Cuihong},
5229 title = {A decentralized model for automated multi-attribute negotiations
5230 with incomplete information and general utility functions},
5231 journal = {Multiagent and Grid Systems},
5232 year = {2008},
5233 month = {Jan},
5234 volume = {4},
5235 pages = {45--65},
5236 number = {1},
5237 owner = {Mark},
5238 publisher = {IOS Press},
5239 address = {Amsterdam, The Netherlands},
5240 timestamp = {2013.06.02}
5241}
5242
5243@INPROCEEDINGS{Lai06decentralized,
5244 author = {Lai, Guoming and Sycara, Katia P. and Li, Cuihong},
5245 title = {A decentralized model for multi-attribute negotiations},
5246 booktitle = {Proceedings of the 8th international conference on Electronic commerce:
5247 The new e-commerce: innovations for conquering current barriers,
5248 obstacles and limitations to conducting successful business on the
5249 internet},
5250 year = {2006},
5251 series = {ICEC '06},
5252 pages = {3--10},
5253 address = {New York, NY, USA},
5254 publisher = {ACM},
5255 acmid = {1151471},
5256 doi = {10.1145/1151454.1151471},
5257 isbn = {1-59593-392-1},
5258 keywords = {automated negotiation, multi-attribute negotiation, pareto optimality,
5259 performance analysis, rational preference},
5260 location = {Fredericton, New Brunswick, Canada},
5261 numpages = {8},
5262 owner = {Mark},
5263 timestamp = {2013.06.02},
5264 url = {http://doi.acm.org/10.1145/1151454.1151471}
5265}
5266
5267@ARTICLE{Lai06,
5268 author = {Lai, Hsiangchu and Doong, Her-Sen and Kao, Chi-Chung and Kersten,
5269 Gregory E.},
5270 title = {Negotiators' Communication, Perception of Their Counterparts, and
5271 Performance in Dyadic E-negotiations},
5272 journal = {Group Decision and Negotiation},
5273 year = {2006},
5274 volume = {15},
5275 pages = {429-447},
5276 abstract = {The aim of this study was to improve our understanding of negotiation
5277 strategies, behaviors, and outcomes, and the relationships between
5278 these factors based on data collected from questionnaires, actual
5279 behavior during the negotiation process implemented using e-negotiation
5280 system, and the negotiation outcomes. This study clustered the negotiators
5281 based on either the negotiators' own strategies or their thoughts
5282 about those of their partners. This resulted in a division into cooperative
5283 and noncooperative clusters. We found that the negotiators whose
5284 own strategies are less cooperative tend to submit more offers but
5285 fewer messages. However, these people consIDer that they have less
5286 control over the negotiation process compared with those who adopt
5287 a more cooperative strategy, who make fewer offers but send more
5288 messages. Those in the cooperative cluster consistently feel friendlier
5289 about the negotiation and more satisfied with the outcome and their
5290 performance. Further, there is a correlation not only between self-strategies
5291 and the thoughts about partners' strategies, but also between strategies
5292 and final agreements. Finally, the proportion of negotiations reaching
5293 agreement is larger for the cooperative cluster than for the noncooperative
5294 cluster.},
5295 affiliation = {National Sun Yat-sen University Kaohsiung Taiwan Kaohsiung Taiwan},
5296 issn = {0926-2644},
5297 issue = {5},
5298 keyword = {Humanities, Social Sciences and Law},
5299 owner = {tim},
5300 publisher = {Springer Netherlands},
5301 timestamp = {2011.06.16},
5302 url = {http://dx.doi.org/10.1007/s10726-006-9037-7}
5303}
5304
5305@BOOK{Lar04,
5306 title = {Applying UML and Patterns: An Introduction to Object-Oriented Analysis
5307 and Design and Iterative Development},
5308 publisher = {Prentice Hall PTR },
5309 year = {2004},
5310 author = {Larman, Craig}
5311}
5312
5313@INCOLLECTION{Lau09,
5314 author = {Lau, Raymond Y.K.},
5315 title = {An Evolutionary Approach for Intelligent Negotiation Agents in e-Marketplaces},
5316 booktitle = {Intelligent Agents in the Evolution of Web and Applications},
5317 publisher = {Springer Berlin Heidelberg},
5318 year = {2009},
5319 editor = {Nguyen, Ngoc and Jain, Lakhmi},
5320 volume = {167},
5321 series = {Studies in Computational Intelligence},
5322 pages = {279-301},
5323 affiliation = {City University of Hong Kong Department of Information Systems Tat
5324 Chee Avenue, Kowloon Hong Kong SAR},
5325 isbn = {978-3-540-88070-7},
5326 keyword = {Engineering},
5327 owner = {Mark},
5328 timestamp = {2013.02.08}
5329}
5330
5331@ARTICLE{Lau05Evolutionary,
5332 author = {Lau, Raymond Y.K. and Tang, Maolin and Wong, On and Milliner, Stephen W. and Chen, Yi-Ping Phoebe},
5333 title = {An evolutionary learning approach for adaptive negotiation agents},
5334 journal = {International journal of intelligent systems},
5335 year = {2006},
5336 volume = {21},
5337 pages = {41--72},
5338 month = {Jan},
5339 issn = {0884-8173},
5340 number = {1},
5341 owner = {Mark},
5342 doi = {10.1002/int.v21:1},
5343 publisher = {John Wiley \& Sons, Inc.},
5344 timestamp = {2013.01.18},
5345 address = {New York, NY, USA}
5346}
5347
5348@ARTICLE{Lau08Mining,
5349 author = {Lau, Raymond Y.K. and Wong, On and Li, Yuefeng and Ma, Louis},
5350 title = {Mining Trading Partners' Preferences for Efficient Multi-Issue Bargaining
5351 in E-Business},
5352 journal = {J. Manage. Inf. Syst.},
5353 year = {2008},
5354 volume = {25},
5355 pages = {79--104},
5356 month = {Jul},
5357 acmid = {1481795},
5358 address = {Armonk, NY, USA},
5359 issn = {0742-1222},
5360 issue = {1},
5361 numpages = {26},
5362 owner = {Mark},
5363 publisher = {M. E. Sharpe, Inc.},
5364 timestamp = {2013.02.08}
5365}
5366
5367@ARTICLE{Lau08,
5368 author = {Raymond Y.K. Lau and Yuefeng Li and Dawei Song and Ron Chi-Wai Kwok},
5369 title = {Knowledge discovery for adaptive negotiation agents in e-marketplaces},
5370 journal = {Decision Support Systems},
5371 year = {2008},
5372 volume = {45},
5373 pages = {310--323},
5374 number = {2},
5375 doi = {http://dx.doi.org/10.1016/j.dss.2007.12.018},
5376 issn = {0167-9236},
5377 keywords = {Knowledge discovery},
5378 owner = {Mark},
5379 publisher = {Elsevier},
5380 timestamp = {2013.01.23},
5381 url = {http://www.sciencedirect.com/science/article/pii/S016792360800002X}
5382}
5383
5384@INPROCEEDINGS{Lau05,
5385 author = {Lau, Raymond Y.K.},
5386 title = {Adaptive negotiation agents for e-business},
5387 booktitle = {Proceedings of the 7th international conference on Electronic commerce},
5388 year = {2005},
5389 series = {ICEC '05},
5390 pages = {271--278},
5391 address = {New York, NY, USA},
5392 publisher = {ACM},
5393 acmid = {1089604},
5394 doi = {10.1145/1089551.1089604},
5395 isbn = {1-59593-112-0},
5396 keywords = {automated negotiation, e-business, evolutionary learning, intelligent
5397 agents},
5398 location = {Xi'an, China},
5399 numpages = {8},
5400 url = {http://doi.acm.org/10.1145/1089551.1089604}
5401}
5402
5403@INCOLLECTION{Lax1992,
5404 author = {D.A. Lax and J.K. Sebenius},
5405 title = {Thinking coalitionally: party arithmetic, process opportunism, and
5406 strategic sequencing},
5407 booktitle = {Negotiation Analysis},
5408 publisher = {The University of Michigan Press},
5409 year = {1992},
5410 editor = {H.P. Young},
5411 pages = {153-193}
5412}
5413
5414@ARTICLE{Lee09,
5415 author = {Chun Ching Lee and Chao Ou-Yang},
5416 title = {A neural networks approach for forecasting the supplier's bid prices
5417 in supplier selection negotiation process},
5418 journal = {Expert Systems with Applications},
5419 year = {2009},
5420 volume = {36},
5421 pages = {2961--2970},
5422 number = {2, Part 2},
5423 doi = {http://dx.doi.org/10.1016/j.eswa.2008.01.063},
5424 issn = {0957-4174},
5425 keywords = {Supplier selection negotiation process},
5426 owner = {Mark},
5427 publisher = {Elsevier},
5428 timestamp = {2013.02.01},
5429 url = {http://www.sciencedirect.com/science/article/pii/S0957417408000468}
5430}
5431
5432@BOOK{Leo73,
5433 title = {To stop or not to stop. Some elementary optimal stopping problems
5434 with economic interpretations},
5435 publisher = { Almqvist \& Wiksell, Stockholm },
5436 year = { 1973 },
5437 author = { Leonardz, Bj\"{o}rn},
5438 pages = { 178 p. },
5439 catalogue-url = { http://nla.gov.au/nla.cat-vn252403 },
5440 isbn = { 9120038054 },
5441 language = { English },
5442 life-dates = { 1973 - },
5443 subjects = { Decision-making - Mathematical models.; Optimal stopping (Mathematical
5444 statistics) },
5445 type = { Book }
5446}
5447
5448@BOOK{Lew03,
5449 title = {Essentials of Negotiation},
5450 publisher = {McGraw-Hill},
5451 year = {2003},
5452 author = {Lewicki, Roy J. and Saunders, David M. and Barry, Bruce and Minton, John W.},
5453 address = {Boston, MA},
5454 citeulike-article-id = {1471404},
5455 keywords = {argumentation},
5456 owner = {tim},
5457 posted-at = {2007-07-21 16:19:07},
5458 priority = {0},
5459 timestamp = {2011.05.31}
5460}
5461
5462@ARTICLE{Li06,
5463 author = {Cuihong Li and Joseph Giampapa and Katia P. Sycara},
5464 title = {Bilateral negotiation decisions with uncertain dynamic outside options},
5465 journal = {IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews},
5466 year = {2006},
5467 volume = {36},
5468 pages = {31-44},
5469 number = {1},
5470 month = {Jan},
5471 abstract = {We present a model for bilateral negotiations that considers the uncertain
5472 and dynamic outside options. Outside options affect the negotiation
5473 strategies via their impact on the reservation price. The model is
5474 composed of three modules: single-threaded negotiations, synchronized
5475 multithreaded negotiations, and dynamic multithreaded negotiations.
5476 These three modules embody increased sophistication and complexity.
5477 The single-threaded negotiation model provides negotiation strategies
5478 without specifically considering outside options. The model of synchronized
5479 multithreaded negotiations builds on the single-threaded negotiation
5480 model and considers the presence of concurrently existing outside
5481 options. The model of dynamic multithreaded negotiations expands
5482 the synchronized multithreaded model by considering the uncertain
5483 outside options that may come dynamically in the future. Experimental
5484 analysis is provided to characterize the impact of outside options
5485 on the reservation price and thus on the negotiation strategy. The
5486 results show that the utility of a negotiator improves significantly
5487 if he/she considers outside options, and the average utility is higher
5488 when he/she considers both the concurrent outside options and the
5489 foresees future options},
5490 doi = {10.1109/TSMCC.2005.860573},
5491 issn = {1094-6977},
5492 keywords = {decision making;multi-agent systems;negotiation support systems;bilateral
5493 negotiation decision;dynamic multithreaded negotiation;reservation
5494 price;single-threaded negotiation;synchronized multithreaded negotiation;uncertain
5495 dynamic outside option;Billets;Cost accounting;Displays;Intelligent
5496 agent;Intelligent robots;Laboratories;Personnel;Software agents;Subcontracting}
5497}
5498
5499@MISC{Li04,
5500 author = {Cuihong Li and Joseph Giampapa and Katia P. Sycara},
5501 title = {Bilateral negotiation decisions with uncertain dynamic outside options},
5502 year = {2004},
5503 pages = {54-61}
5504}
5505
5506@TECHREPORT{Li03,
5507 author = {Li, Cuihong and Giampapa, Joseph and Sycara, Katia P.},
5508 title = {A review of research literature on bilateral negotiations},
5509 institution = {Robotics Institute},
5510 year = {2003},
5511 address = {Pittsburgh, PA},
5512 month = {Nov},
5513 owner = {---},
5514 publisher = {Citeseer},
5515 timestamp = {2011.08.18}
5516}
5517
5518@INPROCEEDINGS{Li04MAS,
5519 author = {Li, J. and Cao, Y.D.},
5520 title = {Bayesian learning in bilateral multi-issue negotiation and its application
5521 in MAS-based electronic commerce},
5522 booktitle = {Proceedings IEEE/WIC/ACM
5523 International Conference on Intelligent Agent Technology},
5524 year = {2004},
5525 pages = {437--440},
5526 organization = {IEEE},
5527 owner = {Mark},
5528 timestamp = {2013.01.25}
5529}
5530
5531@ARTICLE{Li08,
5532 author = {Li, J. and Wang, C. and Yang, Y.},
5533 title = {An adaptive genetic algorithm and its application in bilateral multi-issue
5534 negotiation},
5535 journal = {The Journal of China Universities of Posts and Telecommunications},
5536 year = {2008},
5537 volume = {15},
5538 pages = {94--97},
5539 owner = {Mark},
5540 publisher = {Elsevier},
5541 timestamp = {2013.01.27}
5542}
5543
5544@ARTICLE{Li11,
5545 author = {Li, M. and Vo, Q.B. and Kowalczyk, R.},
5546 title = {Majority-rule-based preference aggregation on multi-attribute domains
5547 with {CP}-nets},
5548 journal = {compare},
5549 year = {2011},
5550 volume = {210},
5551 pages = {2},
5552 owner = {Mark},
5553 timestamp = {2013.02.09}
5554}
5555
5556@INPROCEEDINGS{Li09,
5557 author = {Li, M. and Vo, Q.B. and Kowalczyk, R.},
5558 title = {Searching for fair joint gains in agent-based negotiation},
5559 booktitle = {Proceedings of The 8th International Conference on Autonomous Agents
5560 and Multiagent Systems},
5561 volume = {2},
5562 year = {2009},
5563 pages = {1049--1056},
5564 organization = {International Foundation for Autonomous Agents and Multiagent Systems},
5565 owner = {Mark},
5566 timestamp = {2013.02.11}
5567}
5568
5569@INPROCEEDINGS{Lia08,
5570 author = {{Yong-quan} Liang and Yong Yuan},
5571 title = {Co-evolutionary stability in the alternating-offer negotiation},
5572 booktitle = {IEEE Conference on Cybernetics and Intelligent Systems},
5573 year = {2008},
5574 month={Sep},
5575 pages = {1176-1180},
5576 doi = {10.1109/ICCIS.2008.4670896},
5577 keywords = {electronic commerce;game theory;genetic algorithms;alternating-offer
5578 negotiation;automatic acquisition;coevolutionary stability;e-commerce
5579 negotiations;evolutionary game theory;evolutionary genetic algorithm;replicator
5580 dynamics;subgame perfect equilibrium;Bioinformatics;Educational institutions;Electronic
5581 switching systems;Game theory;Genetic mutations;Genomics;Information
5582 science;Learning systems;Protocols;Stability analysis;Alternating
5583 offer;Evolutionary game;Replicator dynamics;Sub-game perfect equilibrium}
5584}
5585
5586@ARTICLE{Lin13,
5587 author = {Raz Lin and Ya'akov (Kobi) Gal and Sarit Kraus and Yaniv Mazliah},
5588 title = {Training with automated agents improves people's behavior in negotiation and coordination tasks},
5589 journal = {Decision Support Systems },
5590 year = {2013},
5591 doi = {http://dx.doi.org/10.1016/j.dss.2013.05.015},
5592 issn = {0167-9236},
5593 url = {http://www.sciencedirect.com/science/article/pii/S0167923613001632}
5594}
5595
5596@ARTICLE{Linanimed,
5597 author = {Lin, Raz and Gev, Yehoshua and Kraus, Sarit},
5598 title = {AniMed*: An Automated Animated Mediator for Facilitating Negotiation
5599 with People}
5600}
5601
5602@ARTICLE{Lin11,
5603 author = {Lin, Raz and Gev, Yehoshua and Kraus, Sarit},
5604 title = {Bridging the Gap: Face-to-Face Negotiations with an Automated Mediator},
5605 journal = {IEEE Intelligent Systems},
5606 year = {2011},
5607 volume = {26},
5608 pages = {40--47},
5609 number = {6},
5610 publisher = {Institute of Electrical and Electronics Engineers, Inc., USA United
5611 States}
5612}
5613
5614@ARTICLE{Lin11facilitating,
5615 author = {Lin, Raz and Gev, Yehoshua and Kraus, Sarit},
5616 title = {Facilitating Better Negotiation Solutions using AniMed},
5617 journal = {Proc. of Agent-based Complex Automated Negotiations},
5618 year = {2011},
5619 pages = {64--70}
5620}
5621
5622@INCOLLECTION{Lin12Practice,
5623 author = {Lin, Raz and Kraus, Sarit},
5624 title = {From Research to Practice: Automated Negotiations with People},
5625 booktitle = {Ubiquitous Display Environments},
5626 publisher = {Springer Berlin Heidelberg},
5627 year = {2012},
5628 editor = {Kr\"uger, Antonio and Kuflik, Tsvi},
5629 series = {Cognitive Technologies},
5630 pages = {195-212},
5631 doi = {10.1007/978-3-642-27663-7\_12},
5632 isbn = {978-3-642-27662-0},
5633 language = {English},
5634 owner = {Mark},
5635 timestamp = {2013.02.11},
5636 url = {http://dx.doi.org/10.1007/978-3-642-27663-7\_12}
5637}
5638
5639@book{Linh92,
5640 title={Bargaining with incomplete information},
5641 author={Linhart, P.B. and Radner, R. and Satterthwaite, M.A.},
5642 isbn={9780124510500},
5643 lccn={lc92011473},
5644 series={Economic theory, econometrics, and mathematical economics},
5645 url={https://books.google.nl/books?id=Ny25AAAAIAAJ},
5646 year={1992},
5647 publisher={Academic Press}
5648}
5649
5650@ARTICLE{Lin10,
5651 author = {Lin, Raz and Kraus, Sarit},
5652 title = {Can automated agents proficiently negotiate with humans?},
5653 journal = {Communications of the ACM},
5654 year = {2010},
5655 volume = {53},
5656 pages = {78--88},
5657 number = {1},
5658 month = {Jan},
5659 acmid = {1629199},
5660 address = {New York, NY, USA},
5661 doi = {10.1145/1629175.1629199},
5662 issn = {0001-0782},
5663 numpages = {11},
5664 publisher = {ACM},
5665 url = {http://doi.acm.org/10.1145/1629175.1629199}
5666}
5667
5668@ARTICLE{Lin12,
5669 author = {Raz Lin and Sarit Kraus and Tim Baarslag and Dmytro Tykhonov and Koen V. Hindriks and Catholijn M. Jonker},
5670 title = {Genius: An Integrated Environment for Supporting the Design of Generic Automated Negotiators},
5671 journal = {Computational Intelligence},
5672 year = {2014},
5673 volume = {30},
5674 pages = {48--70},
5675 number = {1},
5676 abstract = {The design of automated negotiators has been the focus of abundant
5677 research in recent years. However, due to difficulties involved in
5678 creating generalized agents that can negotiate in several domains
5679 and against human counterparts, many automated negotiators are domain
5680 specific and their behavior cannot be generalized for other domains.
5681 Some of these difficulties arise from the differences inherent within
5682 the domains, the need to understand and learn negotiators' diverse
5683 preferences concerning issues of the domain, and the different strategies
5684 negotiators can undertake. In this paper we present a system that
5685 enables alleviation of the difficulties in the design process of
5686 general automated negotiators termed Genius, a General Environment
5687 for Negotiation with Intelligent multi-purpose Usage Simulation.
5688 With the constant introduction of new domains, e-commerce and other
5689 applications, which require automated negotiations, generic automated
5690 negotiators encompass many benefits and advantages over agents that
5691 are designed for a specific domain. Based on experiments conducted
5692 with automated agents designed by human subjects using Genius we
5693 provide both quantitative and qualitative results to illustrate its
5694 efficacy. Finally, we also analyze a recent automated bilateral negotiators
5695 competition that was based on Genius. Our results show the advantages
5696 and underlying benefits of using Genius and how it can facilitate
5697 the design of general automated negotiators.},
5698 doi = {10.1111/j.1467-8640.2012.00463.x},
5699 issn = {1467-8640},
5700 keywords = {agents competition, automated negotiation, human/computer interaction,
5701 bilateral negotiation},
5702 publisher = {Blackwell Publishing Inc},
5703 url = {http://dx.doi.org/10.1111/j.1467-8640.2012.00463.x}
5704}
5705
5706@INPROCEEDINGS{Lin09,
5707 author = {Raz Lin and Sarit Kraus and Dmytro Tykhonov and Koen V. Hindriks and Catholijn M. Jonker},
5708 title = {Supporting the Design of General Automated Negotiators},
5709 booktitle = {Proceedings of the Second International Workshop on Agent-based Complex
5710 Automated Negotiations (ACAN'09)},
5711 year = {2011},
5712 volume = {319},
5713 pages = {69 - 87},
5714 organization = {Springer},
5715 publisher = {Springer},
5716 abstract = {The design of automated negotiators has been the focus of abundant
5717 research in recent years. However and due to difficulties involved
5718 in creating generalized agents that can negotiate in several domains
5719 and against human counterparts and many automated negotiators are
5720 domain specific and their behavior cannot be generalized for other
5721 domains. Some of these difficulties arise from the differences inherent
5722 within the domains and the need to understand and learn negotiators'
5723 diverse preferences concerning issues of the domain and the different
5724 strategies negotiators can undertake. In this paper we present a
5725 system that enables alleviation of the difficulties in the design
5726 process of general automated negotiators termed GENIUS and a General
5727 Environment for Negotiation with Intelligent multi-purpose Usage
5728 Simulation. With the constant introduction of new domains and e-commerce
5729 and other applications and which require automated negotiations and
5730 generic automated negotiators encompass many benefits and advantages
5731 over agents that are designed for a specific domain. Based on experiments
5732 conducted with automated agents designed by human subjects using
5733 GENIUS we provide both quantitative and qualitative results to illustrate
5734 its efficacy. Our results show the advantages and underlying benefits
5735 of using GENIUS for designing general automated negotiators.},
5736 isbn = {978-3-642-15612-0},
5737 owner = {tim},
5738 timestamp = {2010.02.19},
5739 url = {http://ii.tudelft.nl/pub/dmytro/linetal-agentDesign.pdf}
5740}
5741
5742@ARTICLE{Lin08,
5743 author = {Raz Lin and Sarit Kraus and Jonathan Wilkenfeld and James Barry},
5744 title = {Negotiating with bounded rational agents in environments with incomplete information using an automated agent},
5745 journal = {Artificial Intelligence},
5746 year = {2008},
5747 volume = {172},
5748 pages = {823 - 851},
5749 number = {6-7},
5750 abstract = {Many tasks in day-to-day life involve interactions among several people.
5751 Many of these interactions involve negotiating over a desired outcome.
5752 Negotiation in and of itself is not an easy task, and it becomes
5753 more complex under conditions of incomplete information. For example,
5754 the parties do not know in advance the exact tradeoff of their counterparts
5755 between different outcomes. Furthermore information regarding the
5756 preferences of counterparts might only be elicited during the negotiation
5757 process itself. In this paper we propose a model for an automated
5758 negotiation agent capable of negotiating with bounded rational agents
5759 under conditions of incomplete information. We test this agent against
5760 people in two distinct domains, in order to verify that its model
5761 is generic, and thus can be adapted to any domain as long as the
5762 negotiators' preferences can be expressed in additive utilities.
5763 Our results indicate that the automated agent reaches more agreements
5764 and plays more effectively than its human counterparts. Moreover,
5765 in most of the cases, the automated agent achieves significantly
5766 better agreements, in terms of individual utility, than the human
5767 counterparts playing the same role.},
5768 doi = {DOI: 10.1016/j.artint.2007.09.007},
5769 issn = {0004-3702},
5770 keywords = {Bilateral negotiation},
5771 owner = {tim},
5772 timestamp = {2010.06.25},
5773 url = {http://www.sciencedirect.com/science/article/B6TYF-4PXDM5C-1/2/f581bc1e3326b51dc434c318f290cf02}
5774}
5775
5776@INPROCEEDINGS{Lin06,
5777 author = {Lin, Raz and Kraus, Sarit and Wilkenfeld, Jonathan and Barry, James},
5778 title = {An Automated Agent for Bilateral Negotiation with Bounded Rational
5779 Agents with Incomplete Information},
5780 booktitle = {Proceedings of the 2006 conference on ECAI 2006: 17th European Conference
5781 on Artificial Intelligence},
5782 year = {2006},
5783 pages = {270--274},
5784 address = {Amsterdam, The Netherlands, The Netherlands},
5785 publisher = {IOS Press},
5786 acmid = {1567078},
5787 isbn = {1-58603-642-4},
5788 numpages = {5},
5789 url = {http://dl.acm.org/citation.cfm?id=1567016.1567078}
5790}
5791
5792@INPROCEEDINGS{Lin09aamas,
5793 author = {Lin, Raz and Oshrat, Yinon and Kraus, Sarit},
5794 title = {Investigating the benefits of automated negotiations in enhancing
5795 people's negotiation skills},
5796 booktitle = {AAMAS '09: Proceedings of The 8th International Conference on Autonomous Agents
5797 and Multiagent Systems},
5798 year = {2009},
5799 pages = {345--352},
5800 isbn = {978-0-9817381-6-1},
5801 location = {Budapest, Hungary},
5802 owner = {tim},
5803 publisher = {International Foundation for Autonomous Agents and Multiagent Systems},
5804 address = {Richland, SC},
5805 timestamp = {2010.08.03}
5806}
5807
5808@ARTICLE{Lit06,
5809 author = {Littman, Michael and Zinkevich, Martin},
5810 title = {The 2006 {AAAI} computer poker competition},
5811 journal = {ICGA Journal},
5812 year = {2006},
5813 volume = {29},
5814 pages = {166},
5815 number = {3}
5816}
5817
5818@INCOLLECTION{Lom01,
5819 author = {Lomuscio, Alessio R. and Wooldridge, Michael J. and Jennings, Nicholas R.},
5820 title = {A Classification Scheme for Negotiation in Electronic Commerce},
5821 booktitle = {Agent Mediated Electronic Commerce},
5822 publisher = {Springer Berlin Heidelberg},
5823 year = {2001},
5824 editor = {Dignum, Frank and Sierra, Carles},
5825 volume = {1991},
5826 series = {Lecture Notes in Computer Science},
5827 pages = {19-33},
5828 abstract = {In the last few years we have witnessed a surge of business-to-consumer
5829 and business-to-business commerce operated on the Internet. However
5830 many of these systems are often nothing more than electronic catalogues
5831 on which the user can choose a product which is made available for
5832 a fixed price. This modus operandi is clearly failing to exploit
5833 the full potential of electronic commerce. Against this background,
5834 we argue here that in the next few years we will see a new generation
5835 of systems emerge, based on automatic negotiation. In this paper
5836 we identify the main parameters on which any automatic negotiation
5837 depends. This classification schema is then used to categorise the
5838 subsequent papers in this book that focus on automatic negotiation.},
5839 affiliation = {Imperial College of Science, Technology and Medicine Department of
5840 Computing SW7 2BZ London UK},
5841 owner = {tim},
5842 timestamp = {2011.05.25},
5843 url = {http://dx.doi.org/10.1007/3-540-44682-6\_2}
5844}
5845
5846@ARTICLE{Lom03,
5847 author = {Lomuscio, Alessio R. and Wooldridge, Michael J. and Jennings, Nicholas R.},
5848 title = {A Classification Scheme for Negotiation in Electronic Commerce},
5849 journal = {Group Decision and Negotiation},
5850 year = {2003},
5851 volume = {12},
5852 pages = {31-56},
5853 number = {1},
5854 doi = {10.1023/A:1022232410606},
5855 issn = {0926-2644},
5856 language = {English},
5857 publisher = {Kluwer Academic Publishers},
5858 url = {http://dx.doi.org/10.1023/A%3A1022232410606}
5859}
5860
5861@INPROCEEDINGS{Lop01,
5862author={Lopes, F. and Mamede, N. and Novais, A.Q. and Coelho, H.},
5863booktitle={12th International Workshop on Database and Expert Systems Applications, 2001. Proceedings.},
5864title={Negotiation tactics for autonomous agents},
5865year={2001},
5866pages={708-714},
5867abstract={Autonomous agents are being increasingly used in a wide range of applications. The agents operate in common environments and, over time, conflicts inevitably occur among them. Negotiation is the predominant process for solving conflicts. Recent growing interest in electronic commerce has also given increased importance to negotiation. This paper presents a generic negotiation mechanism that handles multiparty, multi-issue and single or repeated rounds and introduces a set of negotiation tactics that express the initial attitude of the agents and generate counterproposals either by making or not making concessions},
5868keywords={electronic commerce;multi-agent systems;agent conflicts;autonomous agents;common environments;e-commerce;electronic commerce;multiparty multi-issue negotiation;negotiation tactics;Autonomous agents;Electronic commerce;Libraries;Process planning;Strategic planning},
5869doi={10.1109/DEXA.2001.953141},
5870}
5871
5872@ARTICLE{Lop12,
5873 author = {Lopez-Carmona, Miguel A. and Marsa-Maestre, Ivan and Klein, Mark and Ito, Takayuki},
5874 title = {Addressing stability issues in mediated complex contract negotiations for constraint-based, non-monotonic utility spaces},
5875 journal = {Autonomous Agents and Multi-Agent Systems},
5876 year = {2012},
5877 volume = {24},
5878 pages = {485-535},
5879 number = {3},
5880 doi = {10.1007/s10458-010-9159-9},
5881 issn = {1387-2532},
5882 keywords = {Automated multi-issue negotiation; Complex utility spaces; Strategy
5883 analysis},
5884 language = {English},
5885 publisher = {Springer US},
5886 url = {http://dx.doi.org/10.1007/s10458-010-9159-9}
5887}
5888
5889@ARTICLE{Luo03,
5890 author = {Luo, Xudong and Jennings, Nicholas R. and Shadbolt, Nigel and Leung, Ho-fung and Lee, Jimmy Ho-man},
5891 title = {A fuzzy constraint based model for bilateral, multi-issue negotiations in semi-competitive environments},
5892 journal = {Artificial Intelligence},
5893 year = {2003},
5894 volume = {148},
5895 pages = {53--102},
5896 number = {1},
5897 owner = {Mark},
5898 publisher = {Elsevier},
5899 timestamp = {2013.02.01}
5900}
5901
5902@ARTICLE{Mah10,
5903 author = {Mahmood, A. and Fatima, I. and Kosar, S. and Ahmed, R. and Malik,
5904 A.},
5905 title = {Structural determination of prunusins A and B, new C-alkylated flavonoids
5906 from Prunus domestica, by 1D and 2D NMR spectroscopy},
5907 journal = {Magnetic Resonance in Chemistry},
5908 year = {2010},
5909 volume = {48},
5910 pages = {151-154},
5911 number = {2},
5912 abstract = {Prunusins A (1) and B (2), the new C-alkylated flavonoids, have been
5913 isolated from the seed kernels of Prunus domestica. Their structures
5914 were assigned from H-1 and C-13 nuclear magnetic resonating spectra,
5915 DEPT and by correlation spectroscopy, HMQC and HMBC experiments.
5916 3, 5, 7, 4'-Tetrahydroxyflavone (3) and 3, 5, 7-trihydroxy-8, 4'-dimethoxyflavone
5917 (4) have also been reported from this species. Both compounds (1)
5918 and (2) showed significant antifungal activity against pathogenic
5919 fungus Trichophyton simmi.},
5920 keywords = {nmr 1d/2d nmr prunus domestica rosaceae c-alkylated flavonoids prunusin
5921 a prunusin b heartwood}
5922}
5923
5924@ARTICLE{Mal99,
5925 author = {Malakooti, Behnam and Subramanian, Sriram},
5926 title = {Generalized Polynomial Decomposable Multiple Attribute Utility Functions
5927 for Ranking and Rating Multiple Criteria Discrete Alternatives},
5928 journal = {Applied Mathematics and Computation },
5929 year = {1999},
5930 volume = {106},
5931 pages = {69-102},
5932 number = {1}
5933}
5934
5935@INPROCEEDINGS{Man08,
5936 author = {Efrat Manistersky and Raz Lin and Sarit Kraus},
5937 title = {Understanding How People Design Trading Agents over Time},
5938 booktitle = {Proceedings of AAMAS'08},
5939 year = {2008},
5940 pages = {1593-1596}
5941}
5942
5943@INPROCEEDINGS{Mar11,
5944 author = {Marsa-Maestre, Ivan and Klein, Mark and de la Hoz, Enrique and Lopez-Carmona, Miguel A.},
5945 title = {Negowiki: A Set of Community Tools for the Consistent Comparison of Negotiation Approaches},
5946 booktitle = {Agents in Principle, Agents in Practice},
5947 year = {2011},
5948 editor = {Kinny, David and Hsu, JaneYung-jen and Governatori, Guido and Ghose,
5949 Aditya K.},
5950 volume = {7047},
5951 series = {Lecture Notes in Computer Science},
5952 pages = {424--435},
5953 address = {Berlin, Heidelberg},
5954 publisher = {Springer-Verlag},
5955 acmid = {2177735},
5956 doi = {10.1007/978-3-642-25044-6\_34},
5957 isbn = {978-3-642-25043-9},
5958 location = {Wollongong, Australia},
5959 numpages = {12},
5960 url = {http://dx.doi.org/10.1007/978-3-642-25044-6\_34}
5961}
5962
5963@Article{Mar13,
5964 author = {Ivan Marsa-Maestre and Mark Klein and Catholijn M. Jonker and Reyhan Aydo{\u{g}}an},
5965 title = {From problems to protocols: Towards a negotiation handbook},
5966 journal = {Decision Support Systems},
5967 year = {2013},
5968 abstract = {Abstract Automated negotiation protocols represent a potentially powerful
5969 tool for problem solving in decision support systems involving participants
5970 with conflicting interests. However, the effectiveness of negotiation
5971 approaches depends greatly on the negotiation problem under consideration.
5972 Since there is no one negotiation protocol that clearly outperforms
5973 all others in all scenarios, we need to be able to decide which protocol
5974 is most suited for each particular problem. The goal of our work
5975 is to meet this challenge by defining a negotiation handbook, that
5976 is, a collection of design rules which allow us, given a particular
5977 negotiation problem, to choose the most appropriate protocol to address
5978 it. This paper describes our progress towards this goal, including
5979 a tool for generating a wide range of negotiation scenarios, a set
5980 of high-level metrics for characterizing how negotiation scenarios
5981 differ, a testbed environment for evaluating protocol performance
5982 with different scenarios, and a community repository which allows
5983 us to systematically record and analyze protocol performance data.
5984 },
5985 doi = {http://dx.doi.org/10.1016/j.dss.2013.05.019},
5986 issn = {0167-9236},
5987 keywords = {Scenario metrics},
5988 url = {http://www.sciencedirect.com/science/article/pii/S016792361300167X},
5989}
5990
5991@INPROCEEDINGS{Mar09,
5992 author = {Marsa-Maestre, Ivan and Lopez-Carmona, Miguel A. and Velasco, Juan R. and Ito, Takayuki and Klein, Mark and Fujita, Katsuhide},
5993 title = {Balancing Utility and Deal Probability for Auction-based Negotiations in Highly Nonlinear Utility Spaces},
5994 booktitle = {Proceedings of the 21st international joint conference on artifical intelligence},
5995 series = {IJCAI'09},
5996 year = {2009},
5997 pages = {214--219},
5998 location = {Pasadena, California, USA},
5999 organization = {Morgan Kaufmann Publishers Inc.}
6000}
6001
6002@BOOK{Mas02,
6003 title = {Chebyshev Polynomials},
6004 publisher = {Taylor \& Francis},
6005 year = {2002},
6006 author = {Mason, John C. and Handscomb, David C.},
6007 isbn = {9780849303555},
6008 lccn = {2002073578},
6009 owner = {Mark},
6010 timestamp = {2014.02.18},
6011 url = {http://books.google.nl/books?id=8FHf0P3to0UC}
6012}
6013
6014@INPROCEEDINGS{Mas13,
6015 author = {Masvoula, Marisa},
6016 title = {Forecasting Negotiation Counterpart's Offers: A Focus on Session-long Learning Agents},
6017 booktitle = {COGNITIVE 2013, The Fifth International Conference on Advanced Cognitive Technologies and Applications},
6018 year = {2013},
6019 pages = {71--76},
6020 owner = {Mark},
6021 timestamp = {2013.06.08}
6022}
6023
6024@INCOLLECTION{Mas11,
6025 author = {Masvoula, Marisa and Halatsis, Constantine and Martakos, Drakoulis},
6026 title = {Predictive Automated Negotiators Employing Risk-Seeking and Risk-Averse Strategies},
6027 booktitle = {Engineering Applications of Neural Networks},
6028 publisher = {Springer Boston},
6029 year = {2011},
6030 editor = {Iliadis, Lazaros and Jayne, Chrisina},
6031 volume = {363},
6032 series = {IFIP Advances in Information and Communication Technology},
6033 pages = {325-334},
6034 affiliation = {Department of Informatics and Telecommunications, National and Kapodistrian
6035 University of Athens, University Campus, Athens, 15771 Greece},
6036 isbn = {978-3-642-23956-4},
6037 keyword = {Computer Science},
6038 owner = {Mark},
6039 timestamp = {2013.02.08}
6040}
6041
6042@inproceedings{Mas10,
6043 author = {Masvoula, Marisa and Kanellis, Panagiotis and Martakos, Drakoulis},
6044 title = {A Review of Learning Methods Enhanced in Strategies of Negotiating Agents},
6045 booktitle={Proceedings of the 12th International Conference on Enterprise Information Systems},
6046 year = {2010},
6047 pages = {212--219},
6048 owner = {Mark},
6049 timestamp = {2013.05.26}
6050}
6051
6052@INPROCEEDINGS{Mat98,
6053 author = {Matos, Noyda and Sierra, Carles and Jennings, Nicholas R.},
6054 title = {Determining successful negotiation strategies: an evolutionary approach},
6055 booktitle = {Proceedings International Conference on Multi Agent Systems},
6056 year = {1998},
6057 pages = {182-189},
6058 abstract = {To be successful in open, multi-agent environments, autonomous agents
6059 must be capable of adapting their negotiation strategies and tactics
6060 to their prevailing circumstances. To this end, we present an empirical
6061 study showing the relative success of different strategies against
6062 different types of opponent in different environments. In particular
6063 we adopt an evolutionary approach in which strategies and tactics
6064 correspond to the genetic material in a genetic algorithm. We conduct
6065 a series of experiments to determine the most successful strategies
6066 and to see how and when these strategies evolve depending on the
6067 context and negotiation stance of the agent's opponent},
6068 doi = {10.1109/ICMAS.1998.699048},
6069 keywords = {cooperative systems;genetic algorithms;software agents;autonomous
6070 agents;evolutionary approach;genetic algorithm;open multi-agent environments;successful
6071 negotiation strategies determination;Artificial intelligence;Conducting
6072 materials;Councils;Educational institutions;Encoding;Genetic algorithms;Multiagent
6073 systems;Performance evaluation;Tail}
6074}
6075
6076@CONFERENCE{Maz12,
6077 author = {Mazliah, Y. and Gal, Y.},
6078 title = {Coordination in Multi-Player Human-Computer Groups},
6079 booktitle = {Proc. of the First Human-Agent Interaction Design and Models Workshop
6080 (HAIDM)},
6081 year = {2005}
6082}
6083
6084@ARTICLE{McKelvey1992,
6085 author = {R.D. McKelvey and T.R. Palfrey},
6086 title = {An Experimental Study of the Centipede Game},
6087 journal = {Econometrica},
6088 year = {1992},
6089 volume = {60},
6090 pages = {803-836},
6091 number = {4}
6092}
6093
6094@ARTICLE{McTea93,
6095 author = {McTear, Michael F.},
6096 title = {User modelling for adaptive computer systems: a survey of recent
6097 developments},
6098 journal = {Artificial Intelligence Review},
6099 year = {1993},
6100 volume = {7},
6101 pages = {157-184},
6102 number = {3-4},
6103 doi = {10.1007/BF00849553},
6104 issn = {0269-2821},
6105 keywords = {adaptive system; user models; intelligent interfaces; knowledge representation;
6106 user modelling shells},
6107 language = {English},
6108 publisher = {Kluwer Academic Publishers},
6109 url = {http://dx.doi.org/10.1007/BF00849553}
6110}
6111
6112@MASTERSTHESIS{Mel07,
6113 author = {Meloche, P.},
6114 title = {Experimental investigation of quasi-Newton approaches to a learning
6115 problem in electronic negotiation},
6116 school = {University of Waterloo},
6117 year = {2007},
6118 owner = {Mark},
6119 timestamp = {2013.02.12}
6120}
6121
6122@ARTICLE{Mye83,
6123 author = {Roger B Myerson and Mark A Satterthwaite},
6124 title = {Efficient mechanisms for bilateral trading },
6125 journal = {Journal of Economic Theory },
6126 year = {1983},
6127 volume = {29},
6128 pages = {265 - 281},
6129 number = {2},
6130 abstract = {We consider bargaining problems between one buyer and one seller for
6131 a single object. The seller's valuation and the buyer's valuation
6132 for the object are assumed to be independent random variables, and
6133 each individual's valuation is unknown to the other. We characterize
6134 the set of allocation mechanisms that are Bayesian incentive compatible
6135 and individually rational, and show the general impossibility of
6136 ex post efficient mechanisms without outside subsidies. For a wide
6137 class of problems we show how to compute mechanisms that maximize
6138 expected total gains from trade, and mechanisms that can maximize
6139 a broker's expected profit. },
6140 doi = {http://dx.doi.org/10.1016/0022-0531(83)90048-0},
6141 issn = {0022-0531},
6142 url = {http://www.sciencedirect.com/science/article/pii/0022053183900480}
6143}
6144
6145@ARTICLE{Mok05,
6146 author = {Mok, Wilson Wai Ho and Sundarraj, Rangaraja P.},
6147 title = {Learning algorithms for single-instance electronic negotiations using
6148 the time-dependent behavioral tactic},
6149 journal = {ACM Transactions on Internet Technology},
6150 year = {2005},
6151 volume = {5},
6152 pages = {195--230},
6153 number = {1},
6154 month = {Feb},
6155 acmid = {1052941},
6156 address = {New York, NY, USA},
6157 doi = {10.1145/1052934.1052941},
6158 issn = {1533-5399},
6159 issue_date = {February 2005},
6160 keywords = {Electronic negotiation, electronic agents, electronic commerce, learning,
6161 time-dependent tactic.},
6162 numpages = {36},
6163 publisher = {ACM},
6164 url = {http://doi.acm.org/10.1145/1052934.1052941}
6165}
6166
6167@BOOK{noitacol,
6168 title = {Theory of games and economic behavior},
6169 publisher = {Princeton University Press},
6170 year = {1953},
6171 author = {Morgenstern, Oskar and Von Neumann, John},
6172 abstract = {The nature of the problems investigated and the techniques employed
6173 in this book necessitate a procedure which in many instances is thoroughly
6174 mathematical. The mathematical devices used are elementary in the
6175 sense that no advanced algebra, or calculus, etc., occurs. (With
6176 two, rather unimportant, exceptions: Part of the discussion of an
6177 example in 19.7. et sequ. and a remark in A.3.3. make use of some
6178 simple integrals.) Concepts originating in set theory, linear geometry
6179 and group theory play an important role, but they are invariably
6180 taken from the early chapters of those disciplines and are moreover
6181 analyzed and explained in special expository sections. Nevertheless
6182 the book is not truly elementary because the mathematical deductions
6183 are frequently intricate and the logical possibilities are extensively
6184 exploited. Thus no specific knowledge of any particular body of advanced
6185 mathematics is required. However, the reader who wants to acquaint
6186 himself more thoroughly with the subject expounded here, will have
6187 to familiarize himself with the mathematical way of reasoning definitely
6188 beyond its routine, primitive phases. The character of the procedures
6189 will be mostly that of mathematical logics, set theory and functional
6190 analysis. We have attempted to present the subject in such a form
6191 that a reader who is moderately versed in mathematics can acquire
6192 the necessary practice in the course of this study. We hope that
6193 we have not entirely failed in this endeavour. In accordance with
6194 this, the presentation is not what it would be in a strictly mathematical
6195 treatise. All definitions and deductions are considerably broader
6196 than they would be there. Besides, purely verbal discussions and
6197 analyses take up a considerable amount of space. We have in particular
6198 tried to give, whenever possible, a parallel verbal exposition for
6199 every major mathematical deduction. It is hoped that this procedure
6200 will elucidate in unmathematical language what the mathematical technique
6201 signifies-and will also show where it achieves more than can be done
6202 without it. ?!? In this, as well as in our methodological stand,
6203 we are trying to follow the best examples of theoretical physics.
6204 The reader who is not specifically interested in mathematics should
6205 at first omit those sections of the book which in his judgment are
6206 too mathematical. We prefer not to give a definite list of them,
6207 since this judgment must necessarily be subjective. However, those
6208 sections marked with an asterisk in the table of contents are most
6209 likely to occur to the average reader inthis connection. At any rate
6210 he will find that these omissions will little interfere with the
6211 comprehension of the early parts, although the logical chain may
6212 in the rigorous sense have suffered an interruption. As he proceeds
6213 the omissions will gradually assume a more serious character and
6214 the lacunae in the deduction will become more and more significant.
6215 The reader is then advised to start again from the beginning since
6216 the greater familiarity acquired is likely to facilitate a better
6217 understanding. },
6218 institution = {I-Revues [http://documents.irevues.inist.fr/dspace-oai/request] (France)},
6219 location = {http://www.scientificcommons.org/50906158},
6220 owner = {tim},
6221 timestamp = {2010.07.15},
6222 url = {http://hdl.handle.net/2042/28548}
6223}
6224
6225@ARTICLE{Mot87,
6226 author = {Motulsky, Harvey J. and Ransnas, Lennart A.},
6227 title = {Fitting curves to data using nonlinear regression: a practical and
6228 nonmathematical review.},
6229 journal = {The FASEB Journal},
6230 year = {1987},
6231 volume = {1},
6232 pages = {365-74},
6233 number = {5},
6234 abstract = {Many types of data are best analyzed by fitting a curve using nonlinear
6235 regression, and computer programs that perform these calculations
6236 are readily available. Like every scientific technique, however,
6237 a nonlinear regression program can produce misleading results when
6238 used inappropriately. This article reviews the use of nonlinear regression
6239 in a practical and nonmathematical manner to answer the following
6240 questions: Why is nonlinear regression superior to linear regression
6241 of transformed data? How does nonlinear regression differ from polynomial
6242 regression and cubic spline? How do nonlinear regression programs
6243 work? What choices must an investigator make before performing nonlinear
6244 regression? What do the final results mean? How can two sets of data
6245 or two fits to one set of data be compared? What problems can cause
6246 the results to be wrong? This review is designed to demystify nonlinear
6247 regression so that both its power and its limitations will be appreciated.},
6248 eprint = {http://www.fasebj.org/content/1/5/365.full.pdf+html},
6249 url = {http://www.fasebj.org/content/1/5/365.abstract}
6250}
6251
6252@INPROCEEDINGS{Mud00,
6253 author = {Mudgal, Chhaya and Vassileva, Julita},
6254 title = {Bilateral Negotiation with Incomplete and Uncertain Information:
6255 A Decision-Theoretic Approach Using a Model of the Opponent},
6256 booktitle = {Proceedings of the 4th International Workshop on Cooperative Information
6257 Agents IV, The Future of Information Agents in Cyberspace},
6258 year = {2000},
6259 series = {CIA '00},
6260 pages = {107--118},
6261 address = {London, UK, UK},
6262 publisher = {Springer-Verlag},
6263 acmid = {735572},
6264 isbn = {3-540-67703-8},
6265 numpages = {12},
6266 url = {http://dl.acm.org/citation.cfm?id=647785.735572}
6267}
6268
6269@ARTICLE{Mur99,
6270 author = {Murnighan, J Keith and Babcock, Linda and Thompson, Leigh and Pillutla, Madan},
6271 title = {The information dilemma in negotiations: Effects of experience, incentives, and integrative potential},
6272 journal = {International Journal of Conflict Management},
6273 year = {1999},
6274 volume = {10},
6275 pages = {313--339},
6276 number = {4},
6277 publisher = {MCB UP Ltd}
6278}
6279
6280@ARTICLE{Nad03,
6281 author = {Nadler, J. and Thompson, L. and van Boven, L.},
6282 title = {Learning Negotiation Skills: Four Models of Knowledge Creation and
6283 Transfer},
6284 journal = {Journal of Management Science},
6285 year = {2003},
6286 volume = {49},
6287 pages = {529-540},
6288 number = {4}
6289}
6290
6291@INCOLLECTION{Nar06,
6292 author = {Narayanan, Vidya and Jennings, Nicholas R.},
6293 title = {Learning to Negotiate Optimally in Non-stationary Environments},
6294 booktitle = {Cooperative Information Agents X},
6295 publisher = {Springer Berlin Heidelberg},
6296 year = {2006},
6297 editor = {Klusch, Matthias and Rovatsos, Michael and Payne, Terry R.},
6298 volume = {4149},
6299 series = {Lecture Notes in Computer Science},
6300 pages = {288-300},
6301 doi = {10.1007/11839354\_21},
6302 isbn = {978-3-540-38569-1},
6303 owner = {Mark},
6304 timestamp = {2013.06.08},
6305 url = {http://dx.doi.org/10.1007/11839354\_21}
6306}
6307
6308@ARTICLE{Nas50,
6309 author = {Nash, John F.},
6310 title = {The Bargaining Problem},
6311 journal = {Econometrica},
6312 year = {1950},
6313 volume = {18},
6314 pages = {155--162},
6315 number = {2},
6316 publisher = {The Econometric Society},
6317 ISSN = {00129682},
6318 abstract = {A new treatment is presented of a classical economic problem, one
6319 which occurs in many forms, as bargaining, bilateral monopoly, etc.
6320 It may also be regarded as a nonzero-sum two-person game. In this
6321 treatment a few general assumptions are made concerning the behavior
6322 of a single individual and of a group of two individuals in certain
6323 economic environments. From these, the solution (in the sense of
6324 this paper) of the classical problem may be obtained. In the terms
6325 of game theory, values are found for the game.},
6326 citeulike-article-id = {93163},
6327 citeulike-linkout-0 = {http://dx.doi.org/10.2307/1907266},
6328 citeulike-linkout-1 = {http://www.jstor.org/stable/1907266},
6329 doi = {10.2307/1907266},
6330 keywords = {aarmicro, bargaining, microeconomics, tartumicro},
6331 owner = {tim},
6332 posted-at = {2005-02-11 11:33:55},
6333 priority = {5},
6334 timestamp = {2010.03.19},
6335 url = {http://dx.doi.org/10.2307/1907266}
6336}
6337
6338@MISC{Ngu03,
6339 author = {Nguyen, Thuc Duong and Jennings, Nicholas R.},
6340 title = {Concurrent bilateral negotiation in agent systems},
6341 year = {2003},
6342 isbn = {1529-4188 },
6343 pages = {844-849}
6344}
6345
6346@INPROCEEDINGS{Ngu04,
6347 author = {Nguyen, Thuc Duong and Jennings, Nicholas R.},
6348 title = {Coordinating Multiple Concurrent Negotiations},
6349 booktitle = {Proceedings of the Third International Joint Conference on Autonomous
6350 Agents and Multiagent Systems},
6351 volume = {3},
6352 year = {2004},
6353 series = {AAMAS '04},
6354 pages = {1064--1071},
6355 address = {Washington, DC, USA},
6356 publisher = {IEEE Computer Society},
6357 acmid = {1018875},
6358 doi = {10.1109/AAMAS.2004.94},
6359 isbn = {1-58113-864-4},
6360 location = {New York, NY, USA},
6361 numpages = {8},
6362 url = {http://dx.doi.org/10.1109/AAMAS.2004.94}
6363}
6364
6365@INCOLLECTION{Nie09,
6366 author = {Christoph Niemann and Florian Lang},
6367 title = {Assess Your Opponent: A Bayesian Process for Preference Observation
6368 in Multi-attribute Negotiations},
6369 booktitle = {Advances in Agent-Based Complex Automated Negotiations},
6370 publisher = {Springer Berlin Heidelberg},
6371 year = {2009},
6372 editor = {Ito, Takayuki and Zhang, Minjie and Robu, Valentin and Fatima, Shaheen
6373 and Matsuo, Tokuro},
6374 volume = {233},
6375 series = {Studies in Computational Intelligence},
6376 pages = {119--137},
6377 isbn = {978-3-642-03189-2},
6378 keyword = {Engineering},
6379 owner = {Mark},
6380 timestamp = {2013.02.08}
6381}
6382
6383@BOOK{nis07,
6384 title = {Algorithmic game theory},
6385 publisher = {Cambridge University Press},
6386 year = {2007},
6387 author = {Nisan, N. and Roughgarden, T. and Tardos, E. and Vazirani, V.V.}
6388}
6389
6390@ARTICLE{Niu10,
6391 author = {Niu, Jinzhong and Cai, Kai and Parsons, Simon and McBurney, Peter
6392 and Gerding, Enrico H.},
6393 title = {What the 2007 TAC Market Design Game tells us about effective auction mechanisms},
6394 journal = {Autonomous Agents and Multi-Agent Systems},
6395 year = {2010},
6396 volume = {21},
6397 pages = {172-203},
6398 doi = {10.1007/s10458-009-9110-0},
6399 issn = {1387-2532},
6400 issue = {2},
6401 keywords = {Double auction; Mechanism design; Trading agent competition},
6402 language = {English},
6403 owner = {Mark},
6404 publisher = {Springer US},
6405 timestamp = {2013.02.11},
6406 url = {http://dx.doi.org/10.1007/s10458-009-9110-0}
6407}
6408
6409@INPROCEEDINGS{Noh11,
6410 author = {Noh, H. and Ozonat, K. and Singhal, S. and Yang, Y.},
6411 title = {A multi-choice offer strategy for bilateral multi-issue negotiations
6412 using modified DWM learning},
6413 booktitle = {Proceedings of the 13th International Conference on Electronic Commerce},
6414 year = {2011},
6415 pages = {2--5},
6416 owner = {Mark},
6417 timestamp = {2013.01.27}
6418}
6419
6420@INPROCEEDINGS{Oli06,
6421 author = {R{\^o}mulo Silva de Oliveira and Herman Gomes and Alan Silva and
6422 Ig Ibert Bittencourt and Evandro de Barros Costa},
6423 title = {A Multi-Agent Based Framework for Supporting Learning in Adaptive
6424 Automated Negotiation},
6425 booktitle = {ICEIS (4)},
6426 year = {2006},
6427 pages = {153-158},
6428 bibsource = {DBLP, http://dblp.uni-trier.de},
6429 owner = {Mark},
6430 timestamp = {2013.02.08}
6431}
6432
6433@INCOLLECTION{Oli05,
6434 author = {Oliver, Jim R.},
6435 title = {On Learning Negotiation Strategies by Artificial Adaptive Agents
6436 in Environments of Incomplete Information},
6437 booktitle = {Formal Modelling in Electronic Commerce},
6438 publisher = {Springer Berlin Heidelberg},
6439 year = {2005},
6440 editor = {Kimbrough, Steven O. and Wu, D.J.},
6441 series = {International Handbooks on Information Systems},
6442 pages = {445-461},
6443 affiliation = {INSEAD France},
6444 isbn = {978-3-540-26989-2},
6445 keyword = {Business and Economics},
6446 owner = {Mark},
6447 timestamp = {2013.02.08}
6448}
6449
6450@ARTICLE{Oli96,
6451 author = {Oliver, Jim R.},
6452 title = {A machine-learning approach to automated negotiation and prospects
6453 for electronic commerce},
6454 journal = {Journal of Management Information Systems},
6455 year = {1996},
6456 volume = {13},
6457 pages = {83--112},
6458 month = {Dec},
6459 acmid = {1189554},
6460 address = {Armonk, NY, USA},
6461 issn = {0742-1222},
6462 issue = {3},
6463 numpages = {30},
6464 owner = {Mark},
6465 publisher = {M. E. Sharpe, Inc.},
6466 timestamp = {2013.02.08}
6467}
6468
6469@INPROCEEDINGS{Oli96Commerce,
6470 author = {Oliver, Jim R.},
6471 title = {On Artificial Agents for Negotiation in Electronic Commerce},
6472 booktitle = {Proceedings of the Twenty-Ninth Hawaii International Conference on System Sciences},
6473 year = {1996},
6474 volume = {4},
6475 pages = {337-346 vol.4},
6476 abstract = {A well-established body of research consistently shows that people
6477 involved in multiple-issue negotiations frequently select pareto-inferior
6478 agreements that leave money on the table. Using an evolutionary computation
6479 approach, we show how simple, boundedly rational, artificial adaptive
6480 agents can learn to perform similarly to humans at stylized negotiations.
6481 Furthermore, there is the promise that these agents can be integrated
6482 into practicable electronic commerce systems which would not only
6483 leave less money on the table, but would enable new types of transactions
6484 to be negotiated cost effectively},
6485 doi = {10.1109/HICSS.1996.495355},
6486 keywords = {commerce;decision support systems;knowledge based systems;learning
6487 (artificial intelligence);negotiation support systems;software agents;transaction
6488 processing;artificial adaptive agents;artificial agents;boundedly
6489 rational adaptive agents;electronic commerce;humans;multiple-issue
6490 negotiations;pareto-inferior agreements;stylized negotiations;transactions;Autonomous
6491 agents;Costs;Electronic commerce;Evolutionary computation;Game theory;Humans;Machine
6492 learning;Robustness}
6493}
6494
6495@ARTICLE{Opr02,
6496 author = {Oprea, Mihaela},
6497 title = {An adaptive negotiation model for agent-based electronic commerce},
6498 journal = {Studies in Informatics and Control},
6499 year = {2002},
6500 volume = {11},
6501 pages = {271--279},
6502 number = {3},
6503 owner = {README - cites bekeken},
6504 publisher = {INFORMATICS AND CONTROL PUBLICATIONS},
6505 timestamp = {2011.06.14}
6506}
6507
6508@INPROCEEDINGS{Ore10,
6509 author = {Oren, N. and Norman, T.J.},
6510 title = {Arguing Using Opponent Models},
6511 booktitle = {Argumentation in Multi-Agent Systems: 6th International Workshop,
6512 ArgMAS 2009, Budapest, Hungary, May 12, 2009. Revised Selected and
6513 Invited Papers},
6514 year = {2010},
6515 volume = {6057},
6516 pages = {160},
6517 organization = {Springer-Verlag New York Inc},
6518 owner = {Mark},
6519 timestamp = {2012.07.18}
6520}
6521
6522@BOOK{Osb94,
6523 title = {A Course in Game Theory},
6524 publisher = {The MIT Press},
6525 year = {1994},
6526 author = {Osborne, Martin J. and Rubinstein, Ariel},
6527 edition = {1st},
6528 abstract = {A Course in Game Theory presents the main ideas of game theory at
6529 a level suitable for graduate students and advanced undergraduates,
6530 emphasizing the theory's foundations and interpretations of its basic
6531 concepts. The authors provide precise definitions and full proofs
6532 of results, sacrificing generalities and limiting the scope of the
6533 material in order to do so. The text is organized in four parts:
6534 strategic games, extensive games with perfect information, extensive
6535 games with imperfect information, and coalitional games. It includes
6536 over 100 exercises.},
6537 keywords = {game theory; strategic games; extensive games; coalitional games},
6538 url = {http://EconPapers.repec.org/RePEc:mtp:titles:0262650401}
6539}
6540
6541@BOOK{Osb90,
6542 title = {Bargaining and Markets (Economic Theory, Econometrics, and Mathematical
6543 Economics)},
6544 publisher = {Academic Press},
6545 year = {1990},
6546 author = {Osborne, Martin J. and Rubinstein, Ariel},
6547 month = {Apr},
6548 abstract = {{The formal theory of bargaining originated with John Nash's work
6549 in the early 1950s. This book discusses two recent developments in
6550 this theory. The first uses the tool of extensive games to construct
6551 theories of bargaining in which time is modeled explicitly. The second
6552 applies the theory of bargaining to the study of decentralized markets.
6553 Rather than surveying the field, the authors present a select number
6554 of models, each of which illustrates a key point. In addition, they
6555 give detailed proofs throughout the book.<br><br>Key Features<br>*
6556 Uses a small number of models, rather than a survey of the field,
6557 to illustrate key points<br>* Detailed proofs are given as explanations
6558 for the models <br>* Text has been class-tested in a semester-long
6559 graduate course}},
6560 citeulike-article-id = {453337},
6561 citeulike-linkout-0 = {http://www.amazon.ca/exec/obidos/redirect?tag=citeulike09-20\&amp;path=ASIN/0125286325},
6562 citeulike-linkout-1 = {http://www.amazon.de/exec/obidos/redirect?tag=citeulike01-21\&amp;path=ASIN/0125286325},
6563 citeulike-linkout-2 = {http://www.amazon.fr/exec/obidos/redirect?tag=citeulike06-21\&amp;path=ASIN/0125286325},
6564 citeulike-linkout-3 = {http://www.amazon.jp/exec/obidos/ASIN/0125286325},
6565 citeulike-linkout-4 = {http://www.amazon.co.uk/exec/obidos/ASIN/0125286325/citeulike00-21},
6566 citeulike-linkout-5 = {http://www.amazon.com/exec/obidos/redirect?tag=citeulike07-20\&path=ASIN/0125286325},
6567 citeulike-linkout-6 = {http://www.worldcat.org/isbn/0125286325},
6568 citeulike-linkout-7 = {http://books.google.com/books?vid=ISBN0125286325},
6569 citeulike-linkout-8 = {http://www.amazon.com/gp/search?keywords=0125286325\&index=books\&linkCode=qs},
6570 citeulike-linkout-9 = {http://www.librarything.com/isbn/0125286325},
6571 day = {28},
6572 howpublished = {Paperback},
6573 isbn = {0125286325},
6574 keywords = {book, equilibrium, evol-game, game, game-theory, market},
6575 owner = {tim},
6576 posted-at = {2009-09-28 11:51:28},
6577 priority = {2},
6578 timestamp = {2010.03.19},
6579 url = {http://www.worldcat.org/isbn/0125286325}
6580}
6581
6582@INPROCEEDINGS{Osh09,
6583 author = {Oshrat, Yinon and Lin, Raz and Kraus, Sarit},
6584 title = {Facing the challenge of human-agent negotiations via effective general
6585 opponent modeling},
6586 booktitle = {Proceedings of The 8th International Conference on Autonomous Agents
6587 and Multiagent Systems},
6588 series = {AAMAS '09},
6589 isbn = {978-0-9817381-6-1},
6590 location = {Budapest, Hungary},
6591 year = {2009},
6592 volume = {1},
6593 pages = {377--384},
6594 publisher = {International Foundation for Autonomous Agents and Multiagent Systems},
6595 address = {Richland, SC},
6596 owner = {---},
6597 timestamp = {2011.06.14}
6598}
6599
6600@INCOLLECTION{Ozo10,
6601 author = {Ozonat, Kivanc and Singhal, Sharad},
6602 title = {Design of Negotiation Agents Based on Behavior Models},
6603 booktitle = {Web Information Systems Engineering - WISE 2010},
6604 publisher = {Springer Berlin Heidelberg},
6605 year = {2010},
6606 editor = {Chen, Lei and Triantafillou, Peter and Suel, Torsten},
6607 volume = {6488},
6608 series = {Lecture Notes in Computer Science},
6609 pages = {308-321},
6610 doi = {10.1007/978-3-642-17616-6\_28},
6611 isbn = {978-3-642-17615-9},
6612 owner = {Mark},
6613 timestamp = {2013.06.17},
6614 url = {http://dx.doi.org/10.1007/978-3-642-17616-6\_28}
6615}
6616
6617@incollection{Pap11,
6618year={2011},
6619isbn={978-3-642-21500-1},
6620booktitle={Advances in Computational Intelligence},
6621volume={6691},
6622series={Lecture Notes in Computer Science},
6623editor={Cabestany, Joan and Rojas, Ignacio and Joya, Gonzalo},
6624doi={10.1007/978-3-642-21501-8_15},
6625title={Multi-modal Opponent Behaviour Prognosis in E-Negotiations},
6626url={http://dx.doi.org/10.1007/978-3-642-21501-8_15},
6627publisher={Springer Berlin Heidelberg},
6628keywords={Negotiating Agents; opponent behaviour prediction; MLP & RBF Neural Networks; Polynomial Approximators},
6629 author = {Papaioannou, Ioannis V. and Roussaki, Ioanna G. and Anagnostou, Miltiades E.},
6630pages={113-123},
6631language={English}
6632}
6633
6634
6635@incollection{Pap09,
6636 author = {Papaioannou, Ioannis V. and Roussaki, Ioanna G. and Anagnostou, Miltiades E.},
6637 title = {A Survey on Neural Networks in Automated Negotiations},
6638 editor = {Rabu\~nal, Juan R. and Dorado, Julian and Pazos, Alejandro},
6639 booktitle = {Encyclopedia of Artificial Intelligence},
6640 publisher = {IGI Global},
6641 year = {2009},
6642 pages = {1524--1529},
6643 owner = {Mark},
6644 timestamp = {2012.04.09}
6645}
6646
6647@ARTICLE{Pap08,
6648 author = {Papaioannou, Ioannis V. and Roussaki, Ioanna G. and Anagnostou, Miltiades E.},
6649 title = {Neural networks against genetic algorithms for negotiating agent
6650 behaviour prediction},
6651 journal = {Web Intelligence and Agent Systems},
6652 year = {2008},
6653 month = {Apr},
6654 volume = {6},
6655 issn = {1570-1263},
6656 doi = {10.3233/WIA-2008-0138},
6657 pages = {217--233},
6658 number = {2},
6659 owner = {Mark},
6660 publisher = {IOS Press},
6661 address = {Amsterdam, The Netherlands},
6662 timestamp = {2012.04.17}
6663}
6664
6665@INPROCEEDINGS{Pap06,
6666 author = {Papaioannou, Ioannis V. and Roussaki, Ioanna G. and Anagnostou, Miltiades
6667 E.},
6668 title = {Comparing the Performance of MLP and RBF Neural Networks Employed
6669 by Negotiating Intelligent Agents},
6670 booktitle = {Proceedings of the IEEE/WIC/ACM international conference on Intelligent
6671 Agent Technology},
6672 year = {2006},
6673 series = {IAT '06},
6674 pages = {602--612},
6675 address = {Washington, DC, USA},
6676 publisher = {IEEE Computer Society},
6677 acmid = {1194610},
6678 isbn = {0-7695-2748-5},
6679 numpages = {11},
6680 owner = {Mark},
6681 timestamp = {2013.02.08}
6682}
6683
6684@ARTICLE{par05,
6685 author = {Parkes, D.C. and Kalagnanam, J.},
6686 title = {Models for iterative multiattribute procurement auctions},
6687 journal = {Management Science},
6688 year = {2005},
6689 volume = {51},
6690 pages = {435-451},
6691 number = {3}
6692}
6693
6694@article{Par02,
6695year={2002},
6696issn={1387-2532},
6697journal={Autonomous Agents and Multi-Agent Systems},
6698volume={5},
6699number={3},
6700doi={10.1023/A:1015575522401},
6701title={Game Theory and Decision Theory in Multi-Agent Systems},
6702url={http://dx.doi.org/10.1023/A%3A1015575522401},
6703publisher={Kluwer Academic Publishers},
6704keywords={game theory; decision theory},
6705author={Parsons, Simon and Wooldridge, Michael J.},
6706pages={243-254},
6707language={English}
6708}
6709
6710
6711@PROCEEDINGS{Pau01,
6712 title = {Bilateral Negotiation for Agent-Mediated Electronic Commerce},
6713 year = {2001},
6714 address = {London, UK},
6715 publisher = {Springer-Verlag},
6716 author = {Paula, Gustavo de and Ramos, Francisco and Ramalho, Geber},
6717 booktitle = {Agent-Mediated Electronic Commerce III, Current Issues in Agent-Based
6718 Electronic Commerce Systems (includes revised papers from AMEC 2000
6719 Workshop)},
6720 isbn = {3-540-41749-4},
6721 owner = {tim},
6722 pages = {1--14},
6723 timestamp = {2010.07.23}
6724}
6725
6726@PHDTHESIS{Pom12,
6727 author = {Alina Pommeranz},
6728 title = {Designing Human-Centered Systems for Reflective Decision Making},
6729 school = {Delft University of Technology},
6730 year = {2012},
6731 type = {Dissertation},
6732 isbn = {978-94-61913-65-4}
6733}
6734
6735@INPROCEEDINGS{Pom08,
6736 author = {Pommeranz, Alina and Broekens, Joost and Visser, Wietske and Brinkman, Willem-Paul and Wiggers, Pascal and Jonker, Catholijn M.},
6737 title = {Multi-angle View on Preference Elicitation for Negotiation Support Systems},
6738 booktitle = {Proceedings of the 1st International Working Conference on Human Factors and Computational Models in Negotiation},
6739 year = {2009},
6740 series = {HuCom '08},
6741 pages = {19--26},
6742 address = {New York, NY, USA},
6743 publisher = {ACM},
6744 acmid = {1609173},
6745 doi = {10.1145/1609170.1609173},
6746 isbn = {978-90-813811-1-6},
6747 keywords = {affective scoring, lexicographic ordering, preference elicitation,
6748 recommender systems},
6749 location = {Delft, The Netherlands},
6750 numpages = {8},
6751 url = {http://doi.acm.org/10.1145/1609170.1609173}
6752}
6753
6754@ARTICLE{Pom12values,
6755 author = {Pommeranz, Alina and Detweiler, Christian and Wiggers, Pascal and Jonker, Catholijn M.},
6756 title = {Elicitation of situated values: need for tools to help stakeholders and designers to reflect and communicate},
6757 journal = {Ethics and Information Technology},
6758 year = {2012},
6759 volume = {14},
6760 pages = {285-303},
6761 number = {4},
6762 doi = {10.1007/s10676-011-9282-6},
6763 issn = {1388-1957},
6764 keywords = {Value elicitation; Self-reflection; Situated values; Value sensitive
6765 design; Design methods},
6766 language = {English},
6767 publisher = {Springer Netherlands},
6768 url = {http://dx.doi.org/10.1007/s10676-011-9282-6}
6769}
6770
6771@ARTICLE{Pra64,
6772 author = {Pratt, John W},
6773 title = {Risk Aversion in the Small and in the Large},
6774 journal = {Econometrica: Journal of the Econometric Society},
6775 year = {1964},
6776 volume = {32},
6777 pages = {122--136},
6778 publisher = {JSTOR}
6779}
6780
6781@BOOK{Pru81,
6782 title = {Negotiation Behavior},
6783 publisher = {Academic Press},
6784 year = {1981},
6785 author = {Dean G. Pruitt},
6786 owner = {tim},
6787 timestamp = {2011.05.31}
6788}
6789
6790@ARTICLE{Rah11,
6791 author = {Rahman, Samir Abdel and Bahgat, Reem and Farag, George M.},
6792 title = {Order Statistics Bayesian-Mining Agent Modelling for Automated Negotiation},
6793 journal = {Informatica: An International Journal of Computing and Informatics},
6794 year = {2011},
6795 volume = {35},
6796 pages = {123--137},
6797 number = {1},
6798 owner = {Mark},
6799 publisher = {Slovene Society Informatika, Vozarski pot 12 1000 Ljubljana, Slovenia},
6800 timestamp = {2013.02.02}
6801}
6802
6803@article{Rah02,
6804 author = {Rahwan, Iyad and Kowalczyk, Ryszard and Pham, Ha Hai},
6805 title = {Intelligent Agents for Automated One-to-many e-Commerce Negotiation},
6806 journal = {Australian Computer Science Communications},
6807 issue_date = {January-February 2002},
6808 volume = {24},
6809 number = {1},
6810 month = {Jan},
6811 year = {2002},
6812 pages = {197--204},
6813 numpages = {8},
6814 url = {http://dx.doi.org/10.1145/563857.563824},
6815 doi = {10.1145/563857.563824},
6816 acmid = {563824},
6817 publisher = {IEEE Computer Society Press},
6818 address = {Los Alamitos, CA, USA},
6819 keywords = {automated negotiation, electronic commerce, multi-agent systems},
6820}
6821
6822
6823@ARTICLE{Rah03,
6824 author = {Rahwan, Iyad and Ramchurn, Sarvapalic and Jennings, Nicholas R. and
6825 McBurney, Peter and Parsons, Simon and Sonenberg, Liz},
6826 title = {Argumentation-based negotiation},
6827 journal = {The Knowledge Engineering Review},
6828 year = {2003},
6829 volume = {18},
6830 pages = {343-375},
6831 number = {04},
6832 abstract = {Negotiation is essential in settings where autonomous agents have
6833 conflicting interests and a desire to cooperate. For this reason,
6834 mechanisms in which agents exchange potential agreements according
6835 to various rules of interaction have become very popular in recent
6836 years as evident, for example, in the auction and mechanism design
6837 community. However, a growing body of research is now emerging which
6838 points out limitations in such mechanisms and advocates the idea
6839 that agents can increase the likelihood and quality of an agreement
6840 by exchanging arguments which influence each other; states. This
6841 community further argues that argument exchange is sometimes essential
6842 when various assumptions about agent rationality cannot be satisfied.
6843 To this end, in this article, we identify the main research motivations
6844 and ambitions behind work in the field. We then provide a conceptual
6845 framework through which we outline the core elements and features
6846 required by agents engaged in argumentation-based negotiation, as
6847 well as the environment that hosts these agents. For each of these
6848 elements, we survey and evaluate existing proposed techniques in
6849 the literature and highlight the major challenges that need to be
6850 addressed if argument-based negotiation research is to reach its
6851 full potential. },
6852 doi = {DOI:10.1017/S0269888904000098},
6853 eprint = {http://journals.cambridge.org/article\_S0269888904000098},
6854 owner = {tim},
6855 timestamp = {2010.03.29},
6856 url = {http://journals.cambridge.org/article\_S0269888904000098}
6857}
6858
6859@ARTICLE{Rah07,
6860 author = {Iyad Rahwan and Liz Sonenberg and Nicholas R. Jennings and Peter
6861 McBurney},
6862 title = {STRATUM: A Methodology for Designing Heuristic Agent Negotiation
6863 Strategies},
6864 journal = {Applied Artificial Intelligence},
6865 year = {2007},
6866 volume = {21},
6867 pages = {489-527},
6868 number = {6},
6869 bibsource = {DBLP, http://dblp.uni-trier.de},
6870 ee = {http://dx.doi.org/10.1080/08839510701408971},
6871 owner = {tim},
6872 timestamp = {2011.03.08}
6873}
6874
6875@article{Rai53,
6876 title={Arbitration schemes for generalized two-person games},
6877 author={Raiffa, Howard},
6878 journal={Annals of Mathematics Studies},
6879 volume={28},
6880 pages={361--387},
6881 year={1953},
6882 publisher={Princeton University Press Princeton, NJ}
6883}
6884
6885@BOOK{Rai82,
6886 title = {The art and science of negotiation: How to resolve conflicts and
6887 get the best out of bargaining},
6888 publisher = {Harvard University Press},
6889 year = {1982},
6890 author = {Raiffa, Howard},
6891 address = {Cambridge, MA}
6892}
6893
6894@BOOK{Rai03,
6895 title = {Negotiation Analysis: The Science and Art of Collaborative Decision
6896 Making},
6897 publisher = {Harvard University Press},
6898 year = {2003},
6899 author = {Raiffa, Howard and Richardson, John and Metcalfe, David}
6900}
6901
6902@ARTICLE{Ram07,
6903 author = {Sarvapali D. Ramchurn and Carles Sierra and Llu\'{i}s Godo and Nicholas
6904 R. Jennings},
6905 title = {Negotiating using rewards},
6906 journal = {Artificial Intelligence},
6907 year = {2007},
6908 volume = {171},
6909 pages = {805 - 837},
6910 number = {10-15},
6911 note = {Argumentation in Artificial Intelligence},
6912 abstract = {Negotiation is a fundamental interaction mechanism in multi-agent
6913 systems because it allows self-interested agents to come to mutually
6914 beneficial agreements and partition resources efficiently and effectively.
6915 Now, in many situations, the agents need to negotiate with one another
6916 many times and so developing strategies that are effective over repeated
6917 interactions is an important challenge. Against this background,
6918 a growing body of work has examined the use of Persuasive Negotiation
6919 (PN), which involves negotiating using rhetorical arguments (such
6920 as threats, rewards, or appeals), in trying to convince an opponent
6921 to accept a given offer. Such mechanisms are especially suited to
6922 repeated encounters because they allow agents to influence the outcomes
6923 of future negotiations, while negotiating a deal in the present one,
6924 with the aim of producing results that are beneficial to both parties.
6925 To this end, in this paper, we develop a comprehensive PN mechanism
6926 for repeated interactions that makes use of rewards that can be asked
6927 for or given to. Our mechanism consists of two parts. First, a novel
6928 protocol that structures the interaction by capturing the commitments
6929 that agents incur when using rewards. Second, a new reward generation
6930 algorithm that constructs promises of rewards in future interactions
6931 as a means of permitting agents to reach better agreements, in a
6932 shorter time, in the present encounter. We then go on to develop
6933 a specific negotiation tactic, based on this reward generation algorithm,
6934 and show that it can achieve significantly better outcomes than existing
6935 benchmark tactics that do not use such inducements. Specifically,
6936 we show, via empirical evaluation in a Multi-Move Prisoners' Dilemma
6937 setting, that our tactic can lead to a 26% improvement in the utility
6938 of deals that are made and that 21 times fewer messages need to be
6939 exchanged in order to achieve this.},
6940 doi = {DOI: 10.1016/j.artint.2007.04.014},
6941 issn = {0004-3702},
6942 keywords = {Persuasive negotiation},
6943 owner = {tim},
6944 timestamp = {2011.03.08},
6945 url = {http://www.sciencedirect.com/science/article/B6TYF-4NNYJBM-1/2/1094bbecc8f8f04ae1d2ee63d4a14ea3}
6946}
6947
6948@INPROCEEDINGS{Ram11,
6949 author = {Ramezani, F. and Ghasem-Aghaee, N. and Kazemifard, M.},
6950 title = {Modeling of emotional-social negotiator agents},
6951 booktitle = {11th International Conference on Intelligent Systems Design and Applications (ISDA)},
6952 year = {2011},
6953 pages = {42-46},
6954 doi = {10.1109/ISDA.2011.6121628},
6955 issn = {2164-7143},
6956 keywords = {multi-agent systems;emotional-social negotiator agents;individual
6957 utility;multiagent system;social intelligence;Autonomous agents;Bayesian
6958 methods;Computer architecture;Decision making;Intelligent systems;Multiagent
6959 systems;BDI architecture;Emotion;Multi agent systems;Negotiation;Social
6960 intelligence}
6961}
6962
6963@ARTICLE{Rau06,
6964 author = {Hsin Rau and Mou-Hsing Tsai and Chao-Wen Chen and Wei-Jung Shiang},
6965 title = {Learning-based automated negotiation between shipper and forwarder},
6966 journal = {Computers \& industrial engineering},
6967 year = {2006},
6968 volume = {51},
6969 pages = {464--481},
6970 number = {3},
6971 doi = {http://dx.doi.org/10.1016/j.cie.2006.08.008},
6972 issn = {0360-8352},
6973 keywords = {Negotiation},
6974 owner = {Mark},
6975 publisher = {Elsevier},
6976 timestamp = {2013.01.25},
6977 url = {http://www.sciencedirect.com/science/article/pii/S0360835206001070}
6978}
6979
6980@INCOLLECTION{Ren07,
6981 author = {Ren, Fenghui and Zhang, Minjie},
6982 title = {Predicting Partners' Behaviors in Negotiation by Using Regression
6983 Analysis},
6984 booktitle = {Knowledge Science, Engineering and Management},
6985 publisher = {Springer Berlin Heidelberg},
6986 year = {2007},
6987 editor = {Zhang, Zili and Siekmann, J\"{o}rg},
6988 volume = {4798},
6989 series = {Lecture Notes in Computer Science},
6990 pages = {165-176},
6991 doi = {10.1007/978-3-540-76719-0\_19},
6992 isbn = {978-3-540-76718-3},
6993 owner = {Mark},
6994 timestamp = {2013.06.09},
6995 url = {http://dx.doi.org/10.1007/978-3-540-76719-0\_19}
6996}
6997
6998@ARTICLE{Ren02,
6999 author = {Ren, Zhaomin and Anumba, Chimay J.},
7000 title = {Learning in multi-agent systems: a case study of construction claims
7001 negotiation},
7002 issn = "1474-0346",
7003doi = "http://dx.doi.org/10.1016/S1474-0346(03)00015-6",
7004 journal = {Advanced Engineering Informatics},
7005 year = {2002},
7006 volume = {16},
7007 pages = {265--275},
7008 number = {4},
7009 owner = {Mark},
7010 publisher = {Elsevier},
7011 timestamp = {2013.01.25}
7012}
7013
7014@MASTERSTHESIS{Ren11,
7015 author = {Rens, Thomas Pieter},
7016 title = {A Multi Party Negotiation Game for Improving Crisis Management Decision Making and Conflict Resolving},
7017 school = {Technical University of Delft},
7018 year = {2011}
7019}
7020
7021@CONFERENCE{Res04,
7022 author = {Angelo Restificar and Peter Haddawy},
7023 title = {Inferring Implicit Preferences from Negotiation Actions},
7024 booktitle = {International Symposium on Artificial Intelligence and Mathematics},
7025 year = {2004},
7026 address = {Fort Lauderdale, Florida, USA},
7027 month = {Jan},
7028 abstract = {In this paper we propose to model a negotiator's decision-making behavior,
7029 expressed as preferences between an offer/counter-offer gamble and
7030 a certain offer, by learning from implicit choices that can be inferred
7031 from observed negotiation actions. The agent's actions in a negotiation
7032 sequence provide information about his preferences and risk-taking
7033 behavior. We show how offers and counter-offers in negotiation can
7034 be transformed into gamble questions providing a basis for inferring
7035 implicit preferences. Finally, we present the results of experiments
7036 and evaluation we have undertaken.},
7037 attachments = {http://iist.unu.edu/sites/iist.unu.edu/files/biblio/haddawy-pub-42.pdf},
7038 owner = {Mark},
7039 timestamp = {2013.02.17}
7040}
7041
7042@ARTICLE{Rich11eta,
7043 author = {Richardson, John T.E.},
7044 title = {Eta squared and partial eta squared as measures of effect size in educational research},
7045 journal = {Educational Research Review},
7046 year = {2011},
7047 volume = {6},
7048 pages = {135--147},
7049 number = {2},
7050 publisher = {Elsevier}
7051}
7052
7053@INCOLLECTION{Riemsdijk12,
7054 author = {Riemsdijk, M.Birna and Jonker, Catholijn M. and Rens, Thomas and Wang,
7055 Zhiyong},
7056 title = {Negotiation Game for Improving Decision Making in Self-managing Teams},
7057 booktitle = {Modern Advances in Intelligent Systems and Tools},
7058 publisher = {Springer Berlin Heidelberg},
7059 year = {2012},
7060 editor = {Ding, Wei and Jiang, He and Ali, Moonis and Li, Mingchu},
7061 volume = {431},
7062 series = {Studies in Computational Intelligence},
7063 pages = {63-68},
7064 doi = {10.1007/978-3-642-30732-4\_8},
7065 isbn = {978-3-642-30731-7},
7066 url = {http://dx.doi.org/10.1007/978-3-642-30732-4\_8}
7067}
7068
7069@INPROCEEDINGS{Rob90,
7070 author = {Robinson, William N.},
7071 title = {Negotiation behavior during requirement specification},
7072 booktitle = {Proceedings of the 12th International Conference on Software Engineering},
7073 year = {1990},
7074 month={Mar},
7075 pages = {268-276},
7076 abstract = {Negotiation is part of specification; during specification acquisition,
7077 users negotiate among themselves and with analysts. During specification
7078 design, designers negotiate among themselves and with a project leader.
7079 The author reports on work concerned with multiagent specification
7080 design. He describes how various agents, often with conflicting goals,
7081 can resolve their differences, integrate their results, and produce
7082 a unified specification. Such bargaining behavior is both ubiquitous
7083 in complex specification and unrepresented by current methods. Automated
7084 means to promote integrative behavior during specification are presented.
7085 Formal models of users' desires and resolution methods are necessary
7086 for integrative reasoning},
7087 doi = {10.1109/ICSE.1990.63633},
7088 keywords = {formal specification;bargaining behavior;integrative behavior;multiagent
7089 specification design;negotiation;project leader;requirement specification;specification
7090 acquisition;specification design;Contracts;Eyes;Information science;Protocols;Software
7091 engineering;Standby generators;Writing}
7092}
7093
7094@PHDTHESIS{Rob09,
7095 author = {Robu},
7096 title = {Modeling Preferences, Strategic Reasoning and Collaboration in Agent-Mediated
7097 Electronic Markets},
7098 school = {Centrum voor Wiskunde en Informatica},
7099 year = {2009},
7100 owner = {Mark},
7101 timestamp = {2013.02.12}
7102}
7103
7104@INPROCEEDINGS{Rob05UtilityGraphs,
7105 author = {Valentin Robu and Johannes A. La Poutr\'{e}},
7106 title = {Learning the structure of utility graphs used in multi-issue negotiation
7107 through collaborative filtering},
7108 booktitle = {Dutch National Research Center for Mathematics and Computer Science},
7109 year = {2005},
7110 organization = {Citeseer},
7111 owner = {Mark},
7112 timestamp = {2013.02.09}
7113}
7114
7115@INPROCEEDINGS{Rob06,
7116 author = {Valentin Robu and Johannes A. La Poutr\'{e}},
7117 title = {Retrieving the structure of utility graphs used in multi-item negotiations
7118 through collaborative filtering of aggregate buyer preferences},
7119 booktitle = {Proceedings of the 2nd International Workshop on Rational, Robust and Secure Negotiations
7120 in MAS},
7121 year = {2006},
7122 publisher = {Springer},
7123 owner = {Mark},
7124 timestamp = {2013.02.11}
7125}
7126
7127@INPROCEEDINGS{Rob05,
7128 author = {Valentin Robu and Koye Somefun and Johannes A. La Poutr\'{e}},
7129 title = {Modeling Complex Multi-issue Negotiations Using Utility Graphs},
7130 booktitle = {Proceedings of the Fourth International Joint Conference on Autonomous Agents and Multiagent Systems},
7131 series = {AAMAS '05},
7132 year = {2005},
7133 isbn = {1-59593-093-0},
7134 location = {The Netherlands},
7135 pages = {280--287},
7136 numpages = {8},
7137 url = {http://doi.acm.org/10.1145/1082473.1082516},
7138 doi = {10.1145/1082473.1082516},
7139 acmid = {1082516},
7140 publisher = {ACM},
7141 address = {New York, NY, USA},
7142 keywords = {decision theory, game theory, graphical models, influence diagrams, market-based methods, negotiation, utility graphs},
7143}
7144
7145@ARTICLE{Rog07,
7146 author = {Alex D. Rogers and Rajdeep K. Dash and Sarvapali D. Ramchurn and Perukrishnen Vytelingum and Nicholas R. Jennings},
7147 title = {Coordinating team players within a noisy Iterated Prisoner's Dilemma tournament},
7148 journal = {Theoretical Computer Science },
7149 year = {2007},
7150 volume = {377},
7151 pages = {243 - 259},
7152 number = {1-3},
7153 abstract = {In this paper, we present our investigation into the use of a team
7154 of players within a noisy Iterated Prisoner's Dilemma (IPD) tournament.
7155 We show that the members of such a team are able to use a pre-arranged
7156 sequence of moves that they make at the start of each interaction
7157 in order to recognise one another, and that by coordinating their
7158 actions they can increase the chances that one of the team members
7159 wins the round-robin style tournament. We consider, in detail, the
7160 factors that influence the performance of this team and we show that
7161 the problem that the team members face, when they attempt to recognise
7162 one another within the noisy {IPD} tournament, is exactly analogous
7163 to the problem, studied in information theory, of communicating reliably
7164 over a noisy channel. Thus we demonstrate that we can use error-correcting
7165 codes to implement this recognition, and by doing so, further optimise
7166 the performance of the team.},
7167 doi = {10.1016/j.tcs.2007.03.015},
7168 issn = {0304-3975},
7169 keywords = {Iterated Prisoner's Dilemma},
7170 url = {http://www.sciencedirect.com/science/article/pii/S0304397507001831}
7171}
7172
7173@ARTICLE{Ros06,
7174 author = {Ros, Raquel and Sierra, Carles},
7175 title = {A Negotiation Meta Strategy Combining Trade-off and Concession Moves},
7176 journal = {Autonomous Agents and Multi-Agent Systems},
7177 year = {2006},
7178 volume = {12},
7179 pages = {163-181},
7180 doi = {10.1007/s10458-006-5837-z},
7181 issn = {1387-2532},
7182 issue = {2},
7183 keywords = {Negotiation},
7184 language = {English},
7185 owner = {Mark},
7186 publisher = {Kluwer Academic Publishers},
7187 timestamp = {2013.02.11},
7188 url = {http://dx.doi.org/10.1007/s10458-006-5837-z}
7189}
7190
7191@INPROCEEDINGS{Ros11,
7192 author = {Rosenfeld, A. and Kraus, S.},
7193 title = {Using aspiration adaptation theory to improve learning},
7194 booktitle = {The 10th International Conference on Autonomous Agents and Multiagent
7195 Systems},
7196 volume = {1},
7197 year = {2011},
7198 pages = {423--430},
7199 organization = {International Foundation for Autonomous Agents and Multiagent Systems},
7200 owner = {Mark},
7201 timestamp = {2013.02.03}
7202}
7203
7204@PHDTHESIS{Ros86Thesis,
7205 author = {Rosenschein, Jeffrey S.},
7206 title = {Rational interaction: cooperation among intelligent agents},
7207 year = {1986},
7208 month = {Jan},
7209 abstract = {The development of intelligent agents presents opportunities to exploit
7210 intelligent cooperation. Before this can occur, however, a framework
7211 must be built for reasoning about interactions. This dissertation
7212 describes such a framework, and explores strategies of interaction
7213 among intelligent agents. The formalism developed removes some serious
7214 restrictions that underlie previous research in distributed artificial
7215 intelligence, particularly the assumption that the interacting agents
7216 have identical or nonconflicting goals. The formalism allows each
7217 agent to make various assumptions about both the goals and the rationality
7218 of other agents. A hierarchy of rationality assumptions is presented,
7219 along with an analysis of the consequences that result when an agent
7220 believes a particularly level in the hierarchy describes other agents'
7221 rationality. In addition, the formalism presented allows the modeling
7222 of restrictions on communication and the modeling of binding promises
7223 among agents.},
7224 publisher = {Stanford University},
7225 school = {Stanford University},
7226 address = {Stanford, CA, USA},
7227 url = {http://www.osti.gov/scitech/servlets/purl/5310977}
7228}
7229
7230@BOOK{Ros94,
7231 title = {Rules of encounter: designing conventions for automated negotiation among computers},
7232 publisher = {MIT Press},
7233 year = {1994},
7234 author = {Rosenschein, Jeffrey S. and Zlotkin, Gilad},
7235 address = {Cambridge, MA, USA},
7236 citeulike-article-id = {4544969},
7237 citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=180311},
7238 isbn = {0-262-18159-2},
7239 keywords = {negotiation},
7240 owner = {tim},
7241 posted-at = {2009-05-19 14:07:53},
7242 priority = {3},
7243 timestamp = {2010.04.15},
7244 url = {http://portal.acm.org/citation.cfm?id=180311}
7245}
7246
7247@INPROCEEDINGS{Ros14,
7248 author = {Di Napoli, Claudia and Di Nocera, Dario and Rossi, Silvia},
7249 title = {Negotiating Parking Spaces in Smart Cities},
7250 booktitle = {Proceeding of the 8th International Workshop on Agents in Traffic and Transportation, in conjunction with AAMAS},
7251 year = {2014},
7252}
7253
7254@ARTICLE{Rou11,
7255 author = {Roussaki, Ioanna G. and Papaioannou, Ioannis V. and Anagnostou, Miltiades E.},
7256 title = {Using neural network for early detection of unsuccesful negotiation
7257 threads},
7258 journal = {International Journal on Artificial Intelligence Tools},
7259 year = {2011},
7260 volume = {20},
7261 pages = {457--487},
7262 number = {03},
7263 owner = {Mark},
7264 publisher = {World Scientific},
7265 timestamp = {2013.02.01}
7266}
7267
7268@Article{Rub11,
7269 author = {Jonathan Rubin and Ian Watson},
7270 title = {Computer poker: A review},
7271 journal = {Artificial Intelligence},
7272 year = {2011},
7273 volume = {175},
7274 pages = {958 - 987},
7275 doi = {http://dx.doi.org/10.1016/j.artint.2010.12.005},
7276 issn = {0004-3702},
7277 keywords = {Computer poker},
7278 url = {http://www.sciencedirect.com/science/article/pii/S0004370211000191},
7279}
7280
7281@BOOK{rubin1975social,
7282 title = {The social psychology of bargaining and negotiation},
7283 publisher = {Academic press},
7284 year = {1975},
7285 author = {Rubin, Jeffrey Z. and Brown, Bert R.},
7286 owner = {---},
7287 timestamp = {2011.05.29}
7288}
7289
7290@ARTICLE{Rub82,
7291 author = {Rubinstein, Ariel},
7292 title = {Perfect Equilibrium in a Bargaining Model},
7293 journal = {Econometrica},
7294 year = {1982},
7295 volume = {50},
7296 pages = {97--109},
7297 number = {1},
7298 copyright = {Copyright 1982 The Econometric Society},
7299 issn = {00129682},
7300 jstor_articletype = {primary article},
7301 jstor_formatteddate = {Jan., 1982},
7302 owner = {tim},
7303 publisher = {The Econometric Society},
7304 timestamp = {2010.03.29},
7305 url = {http://www.jstor.org/stable/1912531}
7306}
7307
7308@ARTICLE{Rub82short,
7309 author = {Rubinstein, Ariel},
7310 title = {Perfect Equilibrium in a Bargaining Model},
7311 journal = {Econometrica},
7312 year = {1982},
7313 volume = {50},
7314 pages = {97--109},
7315 number = {1},
7316 copyright = {Copyright 1982 The Econometric Society},
7317 issn = {00129682},
7318 jstor_articletype = {primary article},
7319 jstor_formatteddate = {Jan., 1982},
7320 owner = {tim},
7321 publisher = {The Econometric Society},
7322 timestamp = {2010.03.29}
7323}
7324
7325@article{San14,
7326abstract = {A negotiation team is a set of agents with common and possibly also conflicting preferences that forms one of the parties of a negotiation. A negotiation team is involved in two decision making processes simultaneously, a negotiation with the opponents, and an intra-team process to decide on the moves to make in the negotiation. This article focuses on negotiation team decision making for circumstances that require unanimity of team decisions. Existing agent-based approaches only guarantee unanimity in teams negotiating in domains exclusively composed of predictable and compatible issues. This article presents a model for negotiation teams that guarantees unanimous team decisions in domains consisting of predictable and compatible, and alsounpredictable issues. Moreover, the article explores the influence of using opponent, and team member models in the proposing strategies that team members use. Experimental results show that the team benefits if team members employ Bayesian learning to model their teammates' preferences.},
7327author = {Sanchez-Anguix, Victor and Aydogan, Reyhan and Julian, Vicente and Jonker, Catholijn M.},
7328doi = {10.1016/j.elerap.2014.05.002},
7329issn = {15674223},
7330journal = {Electronic Commerce Research and Applications},
7331keywords = {Agreement technologies,Automated negotiation,Multi-agent systems},
7332month = {May},
7333title = {{Unanimously Acceptable Agreements for Negotiation Teams in Unpredictable Domains}},
7334url = {http://www.sciencedirect.com/science/article/pii/S1567422314000283},
7335year = {2014}
7336}
7337
7338@ARTICLE{San13evo,
7339 author = {V\'{i}ctor S{\'a}nchez-Anguix and Soledad Valero and Vicente Juli\'an and Vicente Botti and Ana Garc{\'\i}a-Fornes},
7340 title = {Evolutionary-aided negotiation model for bilateral bargaining in Ambient Intelligence domains with complex utility functions},
7341 journal = {Information Sciences },
7342 year = {2013},
7343 volume = {222},
7344 pages = {25 - 46},
7345 abstract = {Ambient Intelligence aims to offer personalized services and easier
7346 ways of interaction between people and systems. Since several users
7347 and systems may coexist in these environments, it is quite possible
7348 that entities with opposing preferences need to cooperate to reach
7349 their respective goals. Automated negotiation is pointed as one of
7350 the mechanisms that may provide a solution to this kind of problems.
7351 In this article, a multi-issue bilateral bargaining model for Ambient
7352 Intelligence domains is presented where it is assumed that agents
7353 have computational bounded resources and do not know their opponents'
7354 preferences. The main goal of this work is to provide negotiation
7355 models that obtain efficient agreements while maintaining the computational
7356 cost low. A niching genetic algorithm is used before the negotiation
7357 process to sample one's own utility function (self-sampling). During
7358 the negotiation process, genetic operators are applied over the opponent's
7359 and one's own offers in order to sample new offers that are interesting
7360 for both parties. Results show that the proposed model is capable
7361 of outperforming similarity heuristics which only sample before the
7362 negotiation process and of obtaining similar results to similarity
7363 heuristics which have access to all of the possible offers. },
7364 doi = {http://dx.doi.org/10.1016/j.ins.2010.11.018},
7365 issn = {0020-0255},
7366 keywords = {Automated negotiation},
7367 url = {http://www.sciencedirect.com/science/article/pii/S0020025510005633}
7368}
7369
7370@PHDTHESIS{San13complex,
7371 author = {S{\'a}nchez-Anguix, V{\'\i}ctor},
7372 title = {Complex Negotiations in Multi-Agent Systems},
7373 school = {Departament de Sistemes Inform{\`a}tics i Computaci{\'o}, Universitat Polit{\`e}cnica de Val{\`e}ncia},
7374 year = {2013}
7375}
7376
7377@CONFERENCE{San12,
7378 author = {S{\'a}nchez-Anguix, V{\'\i}ctor and Reyhan Aydo{\u{g}}an and Vicente Julian and Catholijn M. Jonker},
7379 title = {Analysis of Intra-Team Strategies for Teams Negotiating Against Competitor, Matchers, and Conceders},
7380 booktitle = {The Fifth International Workshop on Agent-based Complex Automated Negotiations (ACAN 2012)},
7381 year = {2012},
7382 address = {Valencia, Spain}
7383}
7384
7385@ARTICLE{San13,
7386 author = {S{\'a}nchez-Anguix, V{\'\i}ctor and Valero, Soledad and Juli{\'a}n, Vicente and Botti, Vicente and Garc{\'\i}a-Fornes, Ana},
7387 title = {Evolutionary-aided negotiation model for bilateral bargaining in Ambient Intelligence domains with complex utility functions},
7388 journal = {Information Sciences},
7389 year = {2013},
7390 volume = {222},
7391 pages = {25 - 46},
7392 number = {0},
7393 doi = {10.1016/j.ins.2010.11.018},
7394 issn = {0020-0255},
7395 keywords = {Automated negotiation},
7396 owner = {Mark},
7397 timestamp = {2013.06.02},
7398 url = {http://www.sciencedirect.com/science/article/pii/S0020025510005633}
7399}
7400
7401@TECHREPORT{San04,
7402 author = {S\'{a}nchez-Pag\'{e}s, Santiago},
7403 title = {The use of conflict as a bargaining tool against unsophisticated opponents},
7404 institution = {Edinburgh School of Economics, University of Edinburgh},
7405 year = {2004},
7406 month={Mar},
7407 type = {{ESE} Discussion Papers},
7408 number={99},
7409 abstract = {In this paper we explore the role of conflict as an informational
7410 device by means of a simple bargaining model with one-sided incomplete
7411 information: Limited conflicts reveal information about the outcome
7412 of the all-out conflict (that ends the game) because the outcomes
7413 of both types of confrontations are driven by the relative strength
7414 of the parties. We limit the analysis to the case where the uninformed
7415 party can learn the information transmitted in the battlefield but
7416 not the one conveyed by offers. The game becomes then an optimal
7417 stopping problem where the informed party has to decide at each period
7418 whether to stop, by reaching an agreement or by invoking total conflict,
7419 or to keep fighting. We show that conflict is a double-edge sword:
7420 It may paradoxically open the door to agreement when the uniformed
7421 party is too optimistic. But confrontation also occurs when agreement
7422 is possible but the informed agent has incentives to improve her
7423 bargaining position by fighting.},
7424 keywords = {Relative strength; absolute conflict; battles; unsophisticated opponent;
7425 optimal stopping.},
7426 url = {http://EconPapers.repec.org/RePEc:edn:esedps:99}
7427}
7428
7429@ARTICLE{Sah06,
7430 author = {Saha, S.},
7431 title = {Improving Agreements in Multi-issue Negotiation},
7432 journal = {Journal of Electronic Commerce Research},
7433 year = {2006},
7434 volume = {7},
7435 pages = {41--49},
7436 number = {1},
7437 owner = {Mark},
7438 timestamp = {2013.02.11}
7439}
7440
7441@INPROCEEDINGS{Sah05,
7442 author = {Saha, Sabyasachi and Biswas, Anish and Sen, Sandip},
7443 title = {Modeling opponent decision in repeated one-shot negotiations},
7444 booktitle = {Proceedings of the fourth international joint conference on autonomous agents and multiagent systems},
7445 year = {2005},
7446 series = {AAMAS '05},
7447 pages = {397--403},
7448 address = {New York, NY, USA},
7449 publisher = {ACM},
7450 acmid = {1082534},
7451 doi = {http://doi.acm.org/10.1145/1082473.1082534},
7452 isbn = {1-59593-093-0},
7453 keywords = {chebychev polynomial, learning, negotiation},
7454 location = {The Netherlands},
7455 numpages = {7},
7456 owner = {tim},
7457 timestamp = {2011.03.03},
7458 url = {http://doi.acm.org/10.1145/1082473.1082534}
7459}
7460
7461@incollection{Sah05Bayesnet,
7462year={2005},
7463isbn={978-3-540-24526-1},
7464booktitle={Argumentation in Multi-Agent Systems},
7465volume={3366},
7466series={Lecture Notes in Computer Science},
7467editor={Rahwan, Iyad and Mora\"{i}tis, Pavlos and Reed, Chris},
7468doi={10.1007/978-3-540-32261-0_14},
7469title={A Bayes Net Approach to Argumentation Based Negotiation},
7470url={http://dx.doi.org/10.1007/978-3-540-32261-0_14},
7471publisher={Springer Berlin Heidelberg},
7472author={Saha, Sabyasachi and Sen, Sandip},
7473pages={208-222},
7474language={English}
7475}
7476
7477@ARTICLE{San07,
7478 author = {Sandholm, T.},
7479 title = {Expressive commerce and its application to sourcing: How we conducted
7480 \$35 billion of generalized combinatorial auctions},
7481 journal = {AI Magazine},
7482 year = {2007},
7483 volume = {28},
7484 pages = {45-58},
7485 number = {3}
7486}
7487
7488@inproceedings{San95,
7489 title = {Issues in automated negotiation and electronic commerce: Extending the contract net framework},
7490 author = {Sandholm, Tuomas and Lesser, Victor R},
7491 booktitle = {Proceedings of the First International Conference on Multi-Agent Systems {(ICMAS)}},
7492 pages = "328--335",
7493 address = "San Francisco, CA",
7494 year = {1995}
7495}
7496
7497@INPROCEEDINGS{San96,
7498 author = {Tuomas Sandholm and Victor R. Lesser},
7499 title = {Advantages of a Leveled Commitment Contracting Protocol},
7500 booktitle = {Proceedings of the Thirteenth National Conference on Artificial Intelligence
7501 and Eighth Innovative Applications of Artificial Intelligence Conference,
7502 AAAI 96, IAAI 96, Portland, Oregon, August 4-8, 1996},
7503 volume = {1},
7504 year = {1996},
7505 editor = {William J. Clancey and Daniel S. Weld},
7506 pages = {126-133},
7507 publisher = {AAAI Press / The MIT Press},
7508 bibsource = {DBLP, http://dblp.uni-trier.de},
7509 ee = {http://www.aaai.org/Conferences/AAAI/aaai96.php},
7510 isbn = {ISBN 0-262-51091-X}
7511}
7512
7513@INPROCEEDINGS{San99,
7514 author = {Sandholm, Tuomas and Vulkan, Nir},
7515 title = {Bargaining with deadlines},
7516 booktitle = {Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference},
7517 year = {1999},
7518 series = {AAAI '99/IAAI '99},
7519 pages = {44--51},
7520 address = {Menlo Park, CA, USA},
7521 publisher = {American Association for Artificial Intelligence},
7522 acmid = {315224},
7523 isbn = {0-262-51106-1},
7524 location = {Orlando, Florida, USA},
7525 numpages = {8},
7526 url = {http://dl.acm.org/citation.cfm?id=315149.315224}
7527}
7528@article{San99dist,
7529 title={Distributed rational decision making},
7530 author={Sandholm, Tuomas W},
7531 journal={Multiagent systems: a modern approach to distributed artificial intelligence},
7532 pages={201--258},
7533 year={1999}
7534}
7535
7536@book{San10,
7537 title={Population games and evolutionary dynamics},
7538 author={Sandholm, William H.},
7539 year={2010},
7540 publisher={MIT press}
7541}
7542
7543@INPROCEEDINGS{Scha07,
7544 author = {Frederik Christiaan Schadd and Sander Bakkes and Pieter H.M. Spronck},
7545 title = {Opponent modeling in real-time strategy games},
7546 booktitle = {8th International Conference on Intelligent Games and Simulation (GAME-ON 2007)},
7547 year = {2007},
7548 pages = {61--68},
7549 owner = {Mark},
7550 timestamp = {2012.07.18}
7551}
7552
7553@ARTICLE{Sch06,
7554 author = {Schatzmann, Jost and Weilhammer, Karl and Stuttle, Matt and Young,
7555 Steve},
7556 title = {A survey of statistical user simulation techniques for reinforcement-learning
7557 of dialogue management strategies},
7558 journal = {The Knowledge Engineering Review},
7559 year = {2006},
7560 volume = {21},
7561 pages = {97--126},
7562 number = {2},
7563 month = {Jun},
7564 acmid = {1166054},
7565 address = {New York, NY, USA},
7566 doi = {10.1017/S0269888906000944},
7567 issn = {0269-8889},
7568 issue_date = {June 2006},
7569 numpages = {30},
7570 publisher = {Cambridge University Press},
7571 url = {http://dx.doi.org/10.1017/S0269888906000944}
7572}
7573
7574@ARTICLE{Sche56,
7575 author = {Schelling, Thomas C.},
7576 title = {An Essay on Bargaining},
7577 journal = {The American Economic Review},
7578 year = {1956},
7579 volume = {46},
7580 pages = {281--306},
7581 number = {3},
7582 copyright = {Copyright 1956 American Economic Association},
7583 issn = {00028282},
7584 jstor_articletype = {primary article},
7585 jstor_formatteddate = {Jun., 1956},
7586 owner = {tim},
7587 publisher = {American Economic Association},
7588 timestamp = {2010.07.20},
7589 url = {http://www.jstor.org/stable/1805498}
7590}
7591
7592@ARTICLE{Schn02,
7593 author = {Schneider, A.K.},
7594 title = {Shattering negotiation myths: Empirical evidence on the effectiveness
7595 of negotiation style},
7596 journal = {Harv. Negot. L. Rev.},
7597 year = {2002},
7598 volume = {7},
7599 pages = {143},
7600 owner = {Mark},
7601 publisher = {HeinOnline},
7602 timestamp = {2012.01.08}
7603}
7604
7605@ARTICLE{Sco66,
7606 author = {John T. Scott Jr.},
7607 title = {Factor Analysis and Regression},
7608 journal = {Econometrica},
7609 year = {1966},
7610 volume = {34},
7611 pages = {pp. 552-562},
7612 number = {3},
7613 abstract = {This paper derives a stochastic linear equation from factor analysis
7614 called factor analysis regression which is suggested as an alternative
7615 to classical least squares regression whenever least squares estimation
7616 is questionable or breaks down because of errors in the variables
7617 or multicollinearity. Statistical tests for the factor analysis regression
7618 are also suggested and an empirical example comparing factor-analysis
7619 regression with least squares is shown.},
7620 copyright = {Copyright 1966 The Econometric Society},
7621 issn = {00129682},
7622 jstor_articletype = {research-article},
7623 jstor_formatteddate = {Jul., 1966},
7624 language = {English},
7625 publisher = {The Econometric Society},
7626 url = {http://www.jstor.org/stable/1909769}
7627}
7628
7629@INPROCEEDINGS{ANAC2010SerExt,
7630 author = {Liviu Dan \c{S}erban and Gheorghe Cosmin Silaghi and Cristian Marius Litan},
7631 title = {Agent{FSEGA} - Time Constrained Reasoning Model for Bilateral Multi-Issue Negotiations},
7632 booktitle = {New Trends in Agent-based Complex Automated Negotiations, Series of
7633 Studies in Computational Intelligence},
7634 year = {2012},
7635 editor = {Takayuki Ito and Minjie Zhang and Valentin Robu and Shaheen Fatima
7636 and Tokuro Matsuo},
7637 pages = {159-165},
7638 address = {Berlin, Heidelberg},
7639 publisher = {Springer-Verlag},
7640 isbn = {978-3-642-24695-1},
7641 owner = {tim}
7642}
7643
7644@ARTICLE{ANAC2010Ser,
7645 author = {Liviu Dan \c{S}erban and Gheorghe Cosmin Silaghi and Cristian Marius
7646 Litan},
7647 title = {Agent{FSEGA} - Time Constrained Reasoning Model for Bilateral Multi-IssueNegotiations},
7648 journal = {This volume},
7649 year = {2012},
7650 pages = {159-165}
7651}
7652
7653@INCOLLECTION{Ser13,
7654 author = {\c{S}erban, Liviu Dan and Stefanache, Cristina Maria and Silaghi, Gheorghe Cosmin and Litan, Cristian Marius},
7655 title = {A Qualitative Ascending Protocol for Multi-issue One-to-Many Negotiations},
7656 booktitle = {Complex Automated Negotiations: Theories, Models, and Software Competitions},
7657 publisher = {Springer Berlin Heidelberg},
7658 year = {2013},
7659 editor = {Ito, Takayuki and Zhang, Minjie and Robu, Valentin and Matsuo, Tokuro},
7660 volume = {435},
7661 series = {Studies in Computational Intelligence},
7662 pages = {143-159},
7663 doi = {10.1007/978-3-642-30737-9\_9},
7664 isbn = {978-3-642-30736-2},
7665 url = {http://dx.doi.org/10.1007/978-3-642-30737-9\_9}
7666}
7667
7668@PHDTHESIS{Sha13,
7669 author = {Sharma, Ashwini},
7670 title = {A study on adoption of e-Negotiation through software agents},
7671 year = {2013},
7672 url = {http://hdl.handle.net/10603/10155}
7673}
7674
7675@ARTICLE{sha,
7676 author = {Sharma, Ashwini and Pandel, Upender},
7677 title = {A study of Traditional Negotiation and Electronic Negotiation},
7678 journal = {International Journal of Engineering Research and Applications (IJERA)},
7679 volume = {1},
7680 issn = {2248-9622 },
7681 issue = {2},
7682 page = {153-156},
7683 url = {http://www.ijera.com/papers/vol\%201\%20issue\%202/012153156Q.pdf}
7684}
7685
7686@ARTICLE{She98,
7687 author = {Onn Shehory and Sarit Kraus},
7688 title = {Methods for task allocation via agent coalition formation},
7689 journal = {Artificial Intelligence},
7690 year = {1998},
7691 volume = {101},
7692 pages = {165 - 200},
7693 number = {1-2},
7694 abstract = {Task execution in multi-agent environments may require cooperation
7695 among agents. Given a set of agents and a set of tasks which they
7696 have to satisfy, we consider situations where each task should be
7697 attached to a group of agents that will perform the task. Task allocation
7698 to groups of agents is necessary when tasks cannot be performed by
7699 a single agent. However it may also be beneficial when groups perform
7700 more efficiently with respect to the single agents' performance.
7701 In this paper we present several solutions to the problem of task
7702 allocation among autonomous agents, and suggest that the agents form
7703 coalitions in order to perform tasks or improve the efficiency of
7704 their performance. We present efficient distributed algorithms with
7705 low ratio bounds and with low computational complexities. These properties
7706 are proven theoretically and supported by simulations and an implementation
7707 in an agent system. Our methods are based on both the algorithmic
7708 aspects of combinatorics and approximation algorithms for NP-hard
7709 problems. We first present an approach to agent coalition formation
7710 where each agent must be a member of only one coalition. Next, we
7711 present the domain of overlapping coalitions. We proceed with a discussion
7712 of the domain where tasks may have a precedence order. Finally, we
7713 discuss the case of implementation in an open, dynamic agent system.
7714 For each case we provide an algorithm that will lead agents to the
7715 formation of coalitions, where each coalition is assigned a task.
7716 Our algorithms are any-time algorithms, they are simple, efficient
7717 and easy to implement. },
7718 doi = {http://dx.doi.org/10.1016/S0004-3702(98)00045-9},
7719 issn = {0004-3702},
7720 keywords = {Task allocation },
7721 url = {http://www.sciencedirect.com/science/article/pii/S0004370298000459}
7722}
7723
7724@ARTICLE{Shi13,
7725 author = {Shi, Bing and Gerding, Enrico H. and Vytelingum, Perukrishnen and Jennings, Nicholas R.},
7726 title = {An equilibrium analysis of market selection strategies and fee strategies in competing double auction marketplaces},
7727 journal = {Autonomous Agents and Multi-Agent Systems},
7728 year = {2013},
7729 volume = {26},
7730 pages = {245-287},
7731 number = {2},
7732 doi = {10.1007/s10458-011-9190-5},
7733 issn = {1387-2532},
7734 keywords = {Competing double auction marketplaces; Market selection strategy;
7735 Fee strategy; Evolutionary game theory; Co-evolutionary approach},
7736 language = {English},
7737 publisher = {Springer US},
7738 url = {http://dx.doi.org/10.1007/s10458-011-9190-5}
7739}
7740
7741@INPROCEEDINGS{Sie12negoandsearch,
7742 author = {Sierra, Carles},
7743 title = {Negotiation and Search},
7744 booktitle = {AT},
7745 year = {2012},
7746 pages = {1}
7747}
7748
7749@INPROCEEDINGS{Sie97,
7750 author = {Carles Sierra and Peyman Faratin and Nicholas R. Jennings},
7751 title = {A service-oriented negotiation model between autonomous agents},
7752 booktitle = {Proceedings of the 8th European Workshop on Modelling Autonomous
7753 Agents in Multi-Agent World, MAAMAW-97},
7754 year = {1997},
7755 editor = {Magnus Boman and Walter van de Velde},
7756 volume = {1237},
7757 isbn={978-3-540-63077-7},
7758 series = {Lecture Notes in Artificial Intelligence},
7759 pages = {17-35},
7760 publisher = {Springer-Verlag}
7761}
7762
7763@INPROCEEDINGS{Sil10,
7764 author = {Gheorghe Cosmin Silaghi and Liviu Dan \c{S}erban and Cristian Marius Litan},
7765 title = {A framework for building intelligent {SLA} negotiation strategies
7766 under time constraints},
7767 booktitle = {Proceedings of Economics of Grids, Clouds, Systems, and Services:
7768 7th International Workshop},
7769 year = {2010},
7770 editor={Altmann, J\"{o}rn and Rana, Omer F.},
7771 volume = {6296},
7772 pages = {48},
7773 organization = {Springer-Verlag New York Inc},
7774 owner = {---},
7775 timestamp = {2011.06.19}
7776}
7777
7778@ARTICLE{Sil12,
7779 author = {Silaghi, Gheorghe Cosmin and \c{S}erban, Liviu Dan and Litan, Cristian
7780 Marius},
7781 title = {A time-constrained {SLA} negotiation strategy in competitive computational
7782 grids},
7783 journal = {Future Generation Computer Systems},
7784 year = {2012},
7785 volume = {28},
7786 pages = {1303--1315},
7787 number = {8},
7788 publisher = {Elsevier}
7789}
7790
7791@ARTICLE{Sim09,
7792author={Kwang Mong Sim and Yuanyuan Guo and Benyun Shi},
7793journal={IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics},
7794title={{BLGAN}: Bayesian Learning and Genetic Algorithm for Supporting Negotiation With Incomplete Information},
7795year={2009},
7796month={Feb},
7797volume={39},
7798number={1},
7799pages={198-211},
7800keywords={Bayes methods;genetic algorithms;learning (artificial intelligence);BLGAN;Bayesian learning;automated negotiation;combined negotiation outcomes;deadline-estimation process;genetic algorithm;mathematical proofs;optimal strategy;reserve price;search space;Automated negotiation;Bayesian learning (BL);genetic algorithms (GAs);intelligent agents;negotiation agents;Algorithms;Artificial Intelligence;Automation;Bayes Theorem;Computer Simulation;Humans;Models, Theoretical;Negotiating},
7801doi={10.1109/TSMCB.2008.2004501},
7802ISSN={1083-4419},}
7803
7804@InProceedings{Sim09Cloud,
7805 author = {Kwang-Mong Sim},
7806 title = {Agent-based Cloud commerce},
7807 booktitle = {IEEE International Conference on Industrial Engineering and Engineering Management},
7808 year = {2009},
7809 pages = {717-721},
7810 doi = {10.1109/IEEM.2009.5373228},
7811 keywords = {Internet;electronic commerce;multi-agent systems;ubiquitous computing;4-stage resource discovery process;SLA negotiation;agent-based cloud commerce;business model;cloud computing;cloud resources;consumer agents;e-commerce;electronic commerce;grid computing;service level agreement;Business communication;Cloud computing;Costs;Electronic mail;Matched filters;Pervasive computing;Physics computing;Resource management;Resource virtualization;Testing;Cloud/Grid computing;e-Commerce;multiagent systems;negotiation;resource management},
7812}
7813
7814@INPROCEEDINGS{Sim07,
7815 author = {Sim, Kwang Mong and Guo, Yuanyuan and Shi, Benyun},
7816 title = {Adaptive bargaining agents that negotiate optimally and rapidly},
7817 booktitle = {IEEE Congress on Evolutionary Computation},
7818 year = {2007},
7819 month={Sep},
7820 pages = {1007--1014},
7821 organization = {IEEE},
7822 owner = {Mark},
7823 doi={10.1109/CEC.2007.4424580},
7824 timestamp = {2013.06.01}
7825}
7826
7827@ARTICLE{Ski12,
7828 author = {Skinner, Brian},
7829 title = {The Problem of Shot Selection in Basketball},
7830 journal = {PLoS ONE},
7831 year = {2012},
7832 volume = {7},
7833 pages = {e30776},
7834 number = {1},
7835 month = {Jan},
7836 abstract = {In basketball, every time the offense produces a shot opportunity
7837 the player with the ball must decide whether the shot is worth taking.
7838 In this article, I explore the question of when a team should shoot
7839 and when they should pass up the shot by considering a simple theoretical
7840 model of the shot selection process, in which the quality of shot
7841 opportunities generated by the offense is assumed to fall randomly
7842 within a uniform distribution. Within this model I derive an answer
7843 to the question how likely must the shot be to go in before the player
7844 should take it? and I show that this lower cutoff for shot quality
7845 <inline-formula><inline-graphic xmlns:xlink="http://www.w3.org/1999/xlink"
7846 xlink:href="info:doi/10.1371/journal.pone.0030776.e001" mimetype="image"
7847 xlink:type="simple"/></inline-formula> depends crucially on the number
7848 <inline-formula><inline-graphic xmlns:xlink="http://www.w3.org/1999/xlink"
7849 xlink:href="info:doi/10.1371/journal.pone.0030776.e002" mimetype="image"
7850 xlink:type="simple"/></inline-formula> of shot opportunities remaining
7851 (say, before the shot clock expires), with larger <inline-formula><inline-graphic
7852 xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="info:doi/10.1371/journal.pone.0030776.e003"
7853 mimetype="image" xlink:type="simple"/></inline-formula> demanding
7854 that only higher-quality shots should be taken. The function <inline-formula><inline-graphic
7855 xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="info:doi/10.1371/journal.pone.0030776.e004"
7856 mimetype="image" xlink:type="simple"/></inline-formula> is also derived
7857 in the presence of a finite turnover rate and used to predict the
7858 shooting rate of an optimal-shooting team as a function of time.
7859 The theoretical prediction for the optimal shooting rate is compared
7860 to data from the National Basketball Association (NBA). The comparison
7861 highlights some limitations of the theoretical model, while also
7862 suggesting that NBA teams may be overly reluctant to shoot the ball
7863 early in the shot clock.},
7864 doi = {10.1371/journal.pone.0030776},
7865 publisher = {Public Library of Science},
7866 url = {http://dx.doi.org/10.1371%2Fjournal.pone.0030776}
7867}
7868
7869@TECHREPORT{Sle99,
7870title = {Reputations and Fairness in Bargaining - Experimental Evidence from a Repeated Ultimatum Game With Fixed Opponents},
7871author = {Slembeck, Tilman},
7872year = {1999},
7873institution = {EconWPA},
7874type = {Experimental},
7875abstract = {The results of Ultimatum Game experiments are often quoted as evidence for the role of fairness in bargaining or in economic behaviour more generally. This paper argues that the observed fairness levels are contingent on the traditional experimental design where players are newly matched each round, and reputations are therefore excluded. Evidence from a new experiment shows that average behaviour is more competitive and conflict rates are higher when subjects play against the same opponent repeatedly. This finding is not expected by the traditional fairness hypothesis. A detailed analysis of the dynamics of pairs of players shows that different types of players coexist in the subject pool. Whereas previous experiments found evidence for the existence of fair players, the present study reports also a significant number of tough players. Hence, there is evidence that allowing for reputations in repeated ultimatum bargaining induces different patterns of behaviour that have not been observed before in this game.},
7876keywords = {game theory; experiments; learning; fairness; reputations; ultimatum game},
7877url = {http://EconPapers.repec.org/RePEc:wpa:wuwpex:9905002}
7878}
7879
7880@BOOK{Smi82,
7881 title = {Evolution and the Theory of Games},
7882 publisher = {Cambridge University Press},
7883 year = {1982},
7884 author = {Smith, J.},
7885 address = {Cambridge, United Kingdom}
7886}
7887
7888@ARTICLE{Smi80,
7889 author = {Smith, Reid G.},
7890 title = {The Contract Net Protocol: High-Level Communication and Control in a Distributed Problem Solver},
7891 journal = {IEEE Transactions on Computers},
7892 year = {1980},
7893 month = {Dec},
7894 volume = {29},
7895 issn = {0018-9340},
7896 pages = {1104-1113},
7897 number = {12},
7898 publisher = {IEEE Computer Society},
7899 address = {Washington, DC, USA},
7900 abstract = {The contract net protocol has been developed to specify problem-solving
7901 communication and control for nodes in a distributed problem solver.
7902 Task distribution is affected by a negotiation process, a discussion
7903 carried on between nodes with tasks to be executed and nodes that
7904 may be able to execute those tasks.},
7905 doi = {10.1109/TC.1980.1675516},
7906 issn = {0018-9340},
7907 keywords = {Artificial Intelligence (AI);connection;cooperation;distributed problem
7908 solving;focus;high-level protocols;negotiation;resource allocation;task-sharing;Communication
7909 system control;Communication system traffic control;Contracts;Distributed
7910 control;Memory;Problem-solving;Production;Protocols;Resource management;Telecommunication
7911 network reliability;Artificial Intelligence (AI);connection;cooperation;distributed
7912 problem solving;focus;high-level protocols;negotiation;resource allocation;task-sharing}
7913}
7914
7915@ARTICLE{Sob83,
7916 author = {Sobel, Joel and Takahashi, Ichiro},
7917 title = {A Multistage Model of Bargaining},
7918 journal = {The Review of Economic Studies},
7919 year = {1983},
7920 volume = {50},
7921 pages = {411--426},
7922 number = {3},
7923 abstract = {This paper presents a simple, multistage model of bargaining wherein
7924 a seller makes an offer that can be either accepted or refused. If
7925 rejected, the process continues. How the seller's ability to make
7926 commitments affects bargaining outcomes is analysed by comparing
7927 the commitment equilibria to those arising when commitment is impossible.
7928 The effects of increasing uncertainty about preferences and varying
7929 the length of the bargaining horizon are analysed. The ways in which
7930 the bargaining environment can be changed to improve outcomes are
7931 discussed.},
7932 copyright = {Copyright 1983 The Review of Economic Studies Ltd.},
7933 issn = {00346527},
7934 jstor_articletype = {primary article},
7935 jstor_formatteddate = {Jul., 1983},
7936 owner = {tim},
7937 publisher = {The Review of Economic Studies Ltd.},
7938 timestamp = {2010.04.01},
7939 url = {http://www.jstor.org/stable/2297673}
7940}
7941
7942@INPROCEEDINGS{Sof12,
7943 author = {Israel Sofer and David Sarne and Avinatan Hassidim},
7944 title = {Negotiation in Exploration-based Environment },
7945 booktitle = {Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence},
7946 year = {2012}
7947}
7948
7949@incollection{Som04InformationGoods,
7950author={Koye Somefun and Enrico H. Gerding and Sander Bohte and Johannes A. La Poutr\'{e}},
7951title={Automated Negotiation and Bundling of Information Goods},
7952year={2004},
7953isbn={978-3-540-22674-1},
7954booktitle={Agent-Mediated Electronic Commerce V. Designing Mechanisms and Systems},
7955volume={3048},
7956series={Lecture Notes in Computer Science},
7957editor={Faratin, Peyman and Parkes, David C. and Rodr\'{i}guez-Aguilar, Juan A. and Walsh, William E.},
7958doi={10.1007/978-3-540-25947-3_1},
7959url={http://dx.doi.org/10.1007/978-3-540-25947-3_1},
7960publisher={Springer Berlin Heidelberg},
7961pages={1-17},
7962language={English}
7963}
7964
7965
7966@ARTICLE{Som04Aggregate,
7967 author = {Koye Somefun and Tomas B. Klos and Johannes A. La Poutr\'{e}},
7968 title = {Negotiating over bundles and prices using aggregate knowledge},
7969 journal = {E-Commerce and Web Technologies},
7970 year = {2004},
7971 volume = {3182},
7972 pages = {259--266},
7973 owner = {Mark},
7974 publisher = {Springer},
7975 timestamp = {2013.02.01}
7976}
7977
7978@incollection{Som07,
7979author = {Koye Somefun and Johannes A. La Poutr\'{e}},
7980title={A Fast Method for Learning Non-linear Preferences Online Using Anonymous Negotiation Data},
7981year={2007},
7982isbn={978-3-540-72501-5},
7983booktitle={Agent-Mediated Electronic Commerce. Automated Negotiation and Strategy Design for Electronic Markets},
7984volume={4452},
7985series={Lecture Notes in Computer Science},
7986editor={Fasli, Maria and Shehory, Onn},
7987doi={10.1007/978-3-540-72502-2_9},
7988url={http://dx.doi.org/10.1007/978-3-540-72502-2_9},
7989publisher={Springer Berlin Heidelberg},
7990pages={118-131},
7991language={English}
7992}
7993
7994
7995@INPROCEEDINGS{Som06,
7996 author = {Koye Somefun and Johannes A. La Poutr\'{e}},
7997 title = {A scalable method for online learning of non-linear preferences based on anonymous negotiation data},
7998 booktitle = {Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems},
7999 year = {2006},
8000 pages = {417--419},
8001 organization = {ACM},
8002 owner = {Mark},
8003 timestamp = {2013.02.06}
8004}
8005
8006@MISC{Som04,
8007 author = {Koye Somefun and Tomas B. Klos and Johannes A. La Poutr\'{e}},
8008 title = {Online Learning of Aggregate Knowledge about Nonlinear Preferences Applied to Negotiating Prices and Bundles},
8009 year = {2004},
8010 pages = {361-370},
8011 publisher = {ACM}
8012}
8013
8014@BOOK{Sta72,
8015 title = {Bargaining theory},
8016 publisher = {Economic Research Institute, Stockholm},
8017 year = {1972},
8018 author = {Stahl, Ingolf},
8019 pages = {313},
8020 catalogue-url = { http://nla.gov.au/nla.cat-vn1772672 },
8021 language = {English},
8022 subjects = {Negotiation - Mathematical models.; Game theory.; Oligopolies - Mathematical
8023 models.},
8024 type = {Book}
8025}
8026
8027@ARTICLE{Sto05,
8028 author = {Peter Stone and Amy Greenwald},
8029 title = {The First International Trading Agent Competition: Autonomous Bidding
8030 Agents},
8031 journal = {Electronic Commerce Research},
8032 year = {2005},
8033 volume = {5},
8034 pages = {229--265},
8035 number = {2},
8036 month = {Apr},
8037 abstract = { This article summarizes the bidding algorithms developed for the
8038 on-line Trading Agent Competition held in July, 2000 in Boston. At
8039 its heart, the article describes 12 of the 22 agent strategies in
8040 terms of (i) bidding strategy, (ii) allocation strategy, (iii) special
8041 approaches, and (iv) team motivations. The common and distinctive
8042 features of these agent strategies are highlighted. In addition,
8043 experimental results are presented that give some insights as to
8044 why the top-scoring agents' strategies were most effective. },
8045 owner = {tim},
8046 timestamp = {2010.06.03},
8047}
8048
8049@ARTICLE{Sut03,
8050 author = {Matthias Sutter and Martin Kocher and Sabine Strau{\ss}},
8051 title = {Bargaining under time pressure in an experimental ultimatum game},
8052 journal = {Economics Letters},
8053 year = {2003},
8054 volume = {81},
8055 pages = {341 - 347},
8056 number = {3},
8057 abstract = {We examine the influence of time pressure on bargaining behavior in
8058 an ultimatum game. Controlling for offers, rejection rates of responders
8059 are significantly higher under a tight than under a very weak time
8060 constraint. However, this effect vanishes with repetition.},
8061 doi = {DOI: 10.1016/S0165-1765(03)00215-5},
8062 issn = {0165-1765},
8063 keywords = {Time pressure},
8064 owner = {tim},
8065 timestamp = {2011.03.11},
8066 url = {http://www.sciencedirect.com/science/article/B6V84-49S7771-3/2/c9dd5db5423a6ba23ada39588ab1e1e4}
8067}
8068
8069@ARTICLE{Sut86,
8070 author = {Sutton, John},
8071 title = {Non-Cooperative Bargaining Theory: An Introduction},
8072 journal = {The Review of Economic Studies},
8073 year = {1986},
8074 volume = {53},
8075 pages = {709--724},
8076 number = {5},
8077 abstract = {The paper provides an informal introduction to some of the main themes
8078 of the recent literature on "non-cooperative" or "sequential" bargaining
8079 models. It focuses in particular on the relationship between the
8080 new approach and the traditional axiomatic approach exemplified by
8081 "Nash bargaining theory". It illustrates the new insights offered
8082 by the non-cooperative approach, by reference to a detailed analysis
8083 of the manner in which the presence of an outside option available
8084 to one of the parties will affect the negotiated outcome. Finally,
8085 the difficulties which arise in extending this analysis to two-person
8086 bargaining with incomplete information, and to n-person bargaining,
8087 are discussed. This is a revised version of the fourth Review of
8088 Economic Studies Lecture presented in April 1985 at the joint meeting
8089 of the Association of University Teachers of Economics and the Royal
8090 Economic Society held in Oxford. The choice of lecturer is made by
8091 a panel whose members are currently Professors Hahn, Mirrlees and
8092 Nobay, and the paper is refereed in the usual way.},
8093 copyright = {Copyright 1986 The Review of Economic Studies Ltd.},
8094 issn = {00346527},
8095 jstor_articletype = {primary article},
8096 jstor_formatteddate = {Oct., 1986},
8097 owner = {tim},
8098 publisher = {The Review of Economic Studies Ltd.},
8099 timestamp = {2010.03.29},
8100 url = {http://www.jstor.org/stable/2297715}
8101}
8102
8103@ARTICLE{Syc93,
8104 author = {Katia P. Sycara},
8105 title = {Machine learning for intelligent support of conflict resolution},
8106 journal = {Decision Support Systems},
8107 year = {1993},
8108 volume = {10},
8109 pages = {121 - 136},
8110 number = {2},
8111 abstract = {Because negotiation and conflict resolution are complex and unstructured
8112 tasks, they need sophisticated decision support. One of the crucial
8113 characteristics of such support is systems that are capable of improving
8114 their performance, both in terms of efficiency and solution quality,
8115 by employing machine learning techniques. A framework for intelligent
8116 computer-supported conflict resolution through negotiation/ mediation
8117 is presented. The model integrates Artificial Intelligence methods
8118 (case-based reasoning) and decision theoretic techniques (multi-attribute
8119 utilities) to provide enhanced conflict resolution and negotiation
8120 support in group problem solving. This model has been implemented
8121 in the PERSUADER, a computer program which operates in the domain
8122 of resolution of labor management disputes. The PERSUADER uses case-based
8123 reasoning (CBR) to learn from its experience. In contrast to quantitative
8124 models or expert systems that solve each problem from scratch and
8125 discard the solution at the end of problem solving, CBR retains the
8126 process and results of its computational decisions so that they can
8127 be re-used to solve future related problems. CBR is a powerful learning
8128 method since it enables a system not only to exploit previous succesful
8129 decisions, thus short-cutting possibly long reasoning chains, but
8130 also to profit from previous failures by using them to recognize
8131 similar failures in advance so they can be avoided in the future.
8132 As the state of the art in DSS development advances and as DSSs support
8133 increasingly more complicated tasks, such machine learning techniques
8134 will become an indispensable part of decision support systems.},
8135 doi = {10.1016/0167-9236(93)90034-Z},
8136 issn = {0167-9236},
8137 keywords = {Learning},
8138 owner = {tim},
8139 timestamp = {2012.02.14},
8140 url = {http://www.sciencedirect.com/science/article/pii/016792369390034Z}
8141}
8142
8143@ARTICLE{Syc90,
8144 author = {Sycara, Katia P.},
8145 title = {Persuasive argumentation in negotiation},
8146 journal = {Theory and Decision},
8147 year = {1990},
8148 volume = {28},
8149 pages = {203-242},
8150 abstract = {This paper presents Persuasive Argumentation as a means of guiding
8151 the negotiation process to a settlement. Decision theoretic approaches
8152 construct prescriptive models of the negotiation process that make
8153 various assumptions about the behavior of the negotiation participants
8154 but do not model changes in behavior. On the other hand, models for
8155 decision support leave the actual decisions to human negotiators,
8156 again not modeling or automating the negotiating process. In contrast
8157 to both approaches, our work deals with automating the negotiation
8158 process. This paper focuses on modeling the process by which the
8159 beliefs and behavior of negotiators are changed via persuasive argumentation.
8160 We claim that persuasive argumentation lies at the heart of negotiation
8161 and embodies the dynamics of negotiation. We present a model of persuasive
8162 argumentation that integrates Artificial Intelligence and decision
8163 theoretic methods. The model has been implemented as part of the
8164 PERSUADER, a multi-agent computer program that operates in the domain
8165 of labor negotiations.},
8166 issn = {0040-5833},
8167 issue = {3},
8168 keyword = {Business and Economics},
8169 publisher = {Springer Netherlands},
8170 url = {http://dx.doi.org/10.1007/BF00162699}
8171}
8172
8173@INPROCEEDINGS{Syc88,
8174 author = {Sycara, Katia P.},
8175 title = {Resolving Goal Conflicts via Negotiation},
8176 booktitle = {Proceedings of the 7th National Conference on Artificial Intelligence.
8177 St. Paul, MN, August 21-26, 1988.},
8178 year = {1988},
8179 pages = {245--250}
8180}
8181
8182@inproceedings{Syc85,
8183 author = {Sycara, Katia P.},
8184 title = {Arguments of Persuasion in Labour Mediation},
8185 booktitle = {Proceedings of the 9th International Joint Conference on Artificial Intelligence},
8186 volume = {1},
8187 year = {1985},
8188 isbn = {0-934613-02-8},
8189 location = {Los Angeles, California},
8190 pages = {294--296},
8191 numpages = {3},
8192 url = {http://dl.acm.org/citation.cfm?id=1625135.1625190},
8193 acmid = {1625190},
8194 publisher = {Morgan Kaufmann Publishers Inc.},
8195 address = {San Francisco, CA, USA},
8196}
8197
8198
8199@INPROCEEDINGS{Syk10,
8200 author = {Adam M. Sykulski and Archie C. Chapman and Enrique Munoz de Cote and Nicholas R. Jennings},
8201 title = {EA Squared: The Winning Strategy for the Inaugural Lemonade Stand Game Tournament},
8202 booktitle = {Proc. of the Nineteenth European Conference on Artificial Intelligence,
8203 Lisbon, Portugal},
8204 year = {2010},
8205 pages = {209-214}
8206}
8207
8208@ARTICLE{Tei04,
8209 author = {Teich, J.E. and Wallenius, H. and Wallenius, J. and Koppius, O.R.},
8210 title = {Emerging multiple issue e-auctions},
8211 journal = {European Journal of Operational Research},
8212 year = {2004},
8213 volume = {159},
8214 pages = {1-16},
8215 number = {1}
8216}
8217
8218@ARTICLE{Tei06,
8219 author = {Teich, J.E. and Wallenius, H. and Wallenius, J. and Zaitsev, A.},
8220 title = {A multi-attribute e-auction mechanism for procurement: Theoretical
8221 foundations},
8222 journal = {European Journal of Operational Research},
8223 year = {2006},
8224 volume = {175},
8225 pages = {90-100},
8226 number = {1}
8227}
8228
8229@INPROCEEDINGS{Tes02,
8230 author = {Tesauro, G.},
8231 title = {Efficient search techniques for multi-attribute bilateral negotiation
8232 strategies},
8233 booktitle = {Electronic Commerce, 2002. Proceedings. Third International Symposium
8234 on},
8235 year = {2002},
8236 pages = {30--36},
8237 organization = {IEEE},
8238 owner = {Mark},
8239 timestamp = {2013.02.02}
8240}
8241
8242@ARTICLE{Thi98,
8243 author = {Ernest M. Thiessen and Daniel P. Loucks and Jery R. Stedinger},
8244 title = {Computer-Assisted Negotiations of Water Resources Conflicts},
8245 journal = {GDN},
8246 year = {1998},
8247 volume = {7},
8248 pages = {109-129},
8249 number = {2},
8250 keywords = {thiessen.pdf}
8251}
8252
8253@ARTICLE{Tho05,
8254 author = {Thomas, Charles J. and Wilson, Bart J.},
8255 title = {Verifiable Offers and the Relationship Between Auctions and Multilateral
8256 Negotiations},
8257 journal = {The Economic Journal},
8258 year = {2005},
8259 volume = {115},
8260 pages = {1016-1031},
8261 number = {506}
8262}
8263
8264@ARTICLE{Tho92,
8265 author = {Thomas, Kenneth W.},
8266 title = {Conflict and conflict management: Reflections and update},
8267 journal = {Journal of Organizational Behavior},
8268 year = {1992},
8269 volume = {13},
8270 pages = {265--274},
8271 number = {3},
8272 doi = {10.1002/job.4030130307},
8273 issn = {1099-1379},
8274 owner = {tim},
8275 publisher = {John Wiley \& Sons, Ltd.},
8276 timestamp = {2011.05.25},
8277 url = {http://dx.doi.org/10.1002/job.4030130307}
8278}
8279
8280@BOOK{Tho00,
8281 title = {The Mind and heart of the negotiator},
8282 publisher = {Prentice Hall Press},
8283 year = {2000},
8284 author = {Thompson, Leigh},
8285 address = {Upper Saddle River, NJ, USA},
8286 edition = {3rd},
8287 isbn = {0-13-017964-7}
8288}
8289
8290@MISC{Tho94,
8291 author = {Thomson, William},
8292 title = {Cooperative models of bargaining},
8293 year = {1994},
8294 publisher = {Elsevier Science B.V.}
8295}
8296
8297@ARTICLE{Tip99,
8298 author = {Tipping, Michael E. and Bishop, Christopher M.},
8299 title = {Probabilistic Principal Component Analysis},
8300 journal = {Journal of the Royal Statistical Society: Series B (Statistical Methodology)},
8301 year = {1999},
8302 volume = {61},
8303 pages = {611--622},
8304 number = {3},
8305 doi = {10.1111/1467-9868.00196},
8306 issn = {1467-9868},
8307 keywords = {Density estimation, EM algorithm, Gaussian mixtures, Maximum likelihood,
8308 Principal component analysis, Probability model},
8309 publisher = {Blackwell Publishers Ltd.},
8310 url = {http://dx.doi.org/10.1111/1467-9868.00196}
8311}
8312
8313@incollection{Tra08,
8314year={2008},
8315isbn={978-3-540-85482-1},
8316booktitle={Intelligent Virtual Agents},
8317volume={5208},
8318series={Lecture Notes in Computer Science},
8319editor={Prendinger, Helmut and Lester, James and Ishizuka, Mitsuru},
8320doi={10.1007/978-3-540-85483-8_12},
8321title={Multi-party, Multi-issue, Multi-strategy Negotiation for Multi-modal Virtual Agents},
8322url={http://dx.doi.org/10.1007/978-3-540-85483-8_12},
8323publisher={Springer Berlin Heidelberg},
8324author={Traum, David and Marsella, Stacy C. and Gratch, Jonathan and Lee, Jina and Hartholt, Arno},
8325pages={117-130}
8326}
8327
8328@ARTICLE{Tri92,
8329 author = {Thomas M Tripp and Harris Sondak},
8330 title = {An evaluation of dependent variables in experimental negotiation studies: Impasse rates and pareto efficiency },
8331 journal = {Organizational Behavior and Human Decision Processes },
8332 year = {1992},
8333 volume = {51},
8334 pages = {273 - 295},
8335 number = {2},
8336 note = {Decision Processes in Negotiation},
8337 doi = {http://dx.doi.org/10.1016/0749-5978(92)90014-X},
8338 issn = {0749-5978},
8339 url = {http://www.sciencedirect.com/science/article/pii/074959789290014X}
8340}
8341
8342@INPROCEEDINGS{Tu00,
8343 author = {Tu, Tuan and Wolff, Eberhard and Lamersdorf, Winfried},
8344 title = {Genetic Algorithms for Automated Negotiations: A {FSM}-Based Application Approach},
8345 booktitle = {Proceedings of the 11th International Workshop on Database and Expert Systems Applications},
8346 year = {2000},
8347 series = {DEXA '00},
8348 pages={1029-1033},
8349 address = {Washington, DC, USA},
8350 publisher = {IEEE Computer Society},
8351 acmid = {790449},
8352 isbn = {0-7695-0680-1},
8353 owner = {Mark},
8354 timestamp = {2013.02.08}
8355}
8356
8357@INPROCEEDINGS{Tu2000,
8358 author = {Tu, Tuan and Wolff, Eberhard and Lamersdorf, Winfried},
8359 title = {Genetic algorithms for automated negotiations: a {FSM}-based application approach},
8360 booktitle = {Database and Expert Systems Applications, 2000. Proceedings. 11th
8361 International Workshop on},
8362 year = {2000},
8363 pages = {1029-1033},
8364 abstract = {An approach to implement strategies for automated negotiations in
8365 electronic commerce applications is presented. It is based on genetic
8366 algorithms (GAs) that evolve FSMs (finite state machines). Each of
8367 these FSMs represents a negotiation strategy that competes against
8368 other strategies and is modified over time according to the outcome
8369 of this competition by using GA principles. The paper gives an overview
8370 of negotiating agents and work related to the paper. Then the application
8371 of genetic algorithms to FSMs is presented and relevant details on
8372 the implementation are given},
8373 doi = {10.1109/DEXA.2000.875153},
8374 issn = {1529-4188},
8375 keywords = {Internet;electronic commerce;finite state machines;genetic algorithms;negotiation
8376 support systems;software agents;FSM based application approach;GA
8377 principles;automated negotiations;electronic commerce applications;finite
8378 state machines;genetic algorithms;negotiating agents;negotiation
8379 strategy;Application software;Automata;Computer science;Concrete;Electronic
8380 commerce;Genetic algorithms;Genetic mutations;Humans;Mobile agents;Software
8381 agents}
8382}
8383
8384@PHDTHESIS{Tyk10,
8385 author = {Tykhonov, D.},
8386 title = {Designing Generic and Efficient Negotation Strategies},
8387 school = {Delft University of Technology},
8388 year = {2010},
8389 owner = {Mark},
8390 timestamp = {2013.02.12}
8391}
8392
8393@PHDTHESIS{Tykh10,
8394 author = {Dmytro Tykhonov},
8395 title = {Designing Generic and Efficient Negotiation Strategies},
8396 school = {Delft University of Technology},
8397 year = {2010},
8398 type = {Dissertation},
8399 address = {Delft, The Netherlands},
8400 isbn = {978-94-90818-02-9}
8401}
8402
8403@article{Vah14,
8404 title = "An experimental study of software agent negotiations with humans",
8405 journal = "Decision Support Systems ",
8406 volume = "66",
8407 pages = "135 - 145",
8408 year = "2014",
8409 issn = "0167-9236",
8410 doi = "http://dx.doi.org/10.1016/j.dss.2014.06.009",
8411 url = "http://www.sciencedirect.com/science/article/pii/S0167923614001833",
8412 author = "Rustam M. Vahidov and Gregory E. Kersten and Raafat Saade",
8413 keywords = "Electronic negotiations",
8414 keywords = "Software agents",
8415 keywords = "Software human negotiations",
8416 keywords = "Experimental studies "
8417}
8418
8419@ARTICLE{Van03,
8420 author = {David D.B. Bragt and Johannes A. La Poutr\'{e}},
8421 title = {Why agents for automated negotiations should be adaptive},
8422 journal = {Netnomics},
8423 year = {2003},
8424 volume = {5},
8425 pages = {101--118},
8426 number = {2},
8427 owner = {Mark},
8428 publisher = {Kluwer Academic Publishers},
8429 timestamp = {2013.01.27}
8430}
8431
8432@ARTICLE{Van04,
8433 author = {Gerban A. Van Kleef and Carsten K.W. De Dreu and Antony S.R. Manstead},
8434 title = {The interpersonal effects of emotions in negotiations: a motivated information processing approach},
8435 journal = {Journal of Personality and Social Psychology},
8436 year = {2004},
8437 volume = {87},
8438 pages = {510},
8439 number = {4},
8440 owner = {Mark},
8441 publisher = {American Psychological Association},
8442 timestamp = {2012.01.08}
8443}
8444
8445@ARTICLE{Vet09,
8446 author = {Rudolf Vetschera},
8447 title = {Learning about preferences in electronic negotiations - A volume-based
8448 measurement method},
8449 journal = {European Journal of Operational Research},
8450 year = {2009},
8451 volume = {194},
8452 pages = {452-463},
8453 number = {2},
8454 bibsource = {DBLP, http://dblp.uni-trier.de},
8455 ee = {http://dx.doi.org/10.1016/j.ejor.2007.12.016}
8456}
8457
8458@INPROCEEDINGS{Vet07,
8459 author = {Vetsikas, Ioannis A. and Jennings, Nicholas R.},
8460 title = {Outperforming the competition in multi-unit sealed bid auctions},
8461 booktitle = {Proceedings of the 6th international joint conference on Autonomous
8462 agents and multiagent systems},
8463 year = {2007},
8464 series = {AAMAS '07},
8465 pages = {103:1--103:8},
8466 address = {New York, NY, USA},
8467 publisher = {ACM},
8468 acmid = {1329252},
8469 articleno = {103},
8470 doi = {10.1145/1329125.1329252},
8471 isbn = {978-81-904262-7-5},
8472 keywords = {bidding strategies, equilibrium analysis, game theory, revenue, simulation},
8473 location = {Honolulu, Hawaii},
8474 numpages = {8},
8475 url = {http://doi.acm.org/10.1145/1329125.1329252}
8476}
8477
8478@ARTICLE{Vic61,
8479 author = {Vickrey, W.},
8480 title = {Counterspeculation, auctions, and competitive sealed tenders},
8481 journal = {Journal of Finance},
8482 year = {1961},
8483 volume = {16},
8484 pages = {8-37},
8485 number = {1}
8486}
8487
8488@PHDTHESIS{Vis12Thesis,
8489 author = {Wietske Visser},
8490 title = {Qualitative Multi-Criteria Preference Representation and Reasoning},
8491 school = {Delft University of Technology},
8492 year = {2012},
8493 type = {Dissertation},
8494 address = {Delft, The Netherlands},
8495 isbn = {978-94-6186-078-1}
8496}
8497
8498@ARTICLE{Vis12,
8499 author = {Wietske Visser and Koen V. Hindriks and Catholijn M. Jonker},
8500 title = {Argumentation-Based Qualitative Preference Modelling with Incomplete
8501 and Uncertain Information},
8502 journal = {Group Decision and Negotiation},
8503 year = {2012},
8504 volume = {21},
8505 pages = {99-127},
8506 abstract = {This paper presents an argumentation-based framework for the modelling
8507 of, and automated reasoning about multi-attribute preferences of
8508 a qualitative nature. The framework presents preferences according
8509 to the lexicographic ordering that is well-understood by humans.
8510 Preferences are derived in part from knowledge. Knowledge, however,
8511 may be incomplete or uncertain. The main contribution of the paper
8512 is that it shows how to reason about preferences when only incomplete
8513 or uncertain information is available.We propose a strategy that
8514 allows reasoning with incomplete information and discuss a number
8515 of strategies to handle uncertain information. It is shown how to
8516 extend the basic framework for modelling preferences to incorporate
8517 these strategies.},
8518 attachments = {http://ii.tudelft.nl/sites/default/files/visser\_hindriks\_jonker\_2012\_prefinal.pdf},
8519 doi = {10.1007/s10726-011-9274-2},
8520 keywords = {Argumentation, Incomplete information, Qualitative multi-attribute
8521 preferences, Uncertain information},
8522 owner = {Mark},
8523 timestamp = {2013.02.06},
8524 url = {http://www.springerlink.com/content/4158264484435056/}
8525}
8526
8527@ARTICLE{Vul98,
8528 author = {Nir Vulkan and Nicholas R. Jennings},
8529 title = {Efficient mechanisms for the supply of services in multi-agent environments},
8530 journal = {Decision Support Systems},
8531 year = {2000},
8532 volume = {28},
8533 pages = {5 - 19},
8534 number = {1-2},
8535 doi = {10.1016/S0167-9236(99)00071-8},
8536 issn = {0167-9236},
8537 keywords = {Intelligent agents},
8538 owner = {Mark},
8539 timestamp = {2013.02.11},
8540 url = {http://www.sciencedirect.com/science/article/pii/S0167923699000718}
8541}
8542
8543@ARTICLE{Vyt08,
8544 author = {Perukrishnen Vytelingum and Dave Cliff and Nicholas R. Jennings},
8545 title = {Strategic bidding in continuous double auctions },
8546 journal = {Artificial Intelligence },
8547 year = {2008},
8548 volume = {172},
8549 pages = {1700 - 1729},
8550 number = {14},
8551 abstract = {In this paper, we describe a novel bidding strategy that autonomous
8552 trading agents can use to participate in Continuous Double Auctions
8553 (CDAs). Our strategy is based on both short and long-term learning
8554 that allows such agents to adapt their bidding behaviour to be efficient
8555 in a wide variety of environments. For the short-term learning, the
8556 agent updates the aggressiveness of its bidding behaviour (more aggressive
8557 means it will trade off profit to improve its chance of transacting,
8558 less aggressive that it targets more profitable transactions and
8559 is willing to trade off its chance of transacting to achieve them)
8560 based on market information observed after any bid or ask appears
8561 in the market. The long-term learning then determines how this aggressiveness
8562 factor influences an agent's choice of which bids or asks to submit
8563 in the market, and is based on market information observed after
8564 every transaction (successfully matched bid and ask). The principal
8565 motivation for the short-term learning is to enable the agent to
8566 immediately respond to market fluctuations, while for the long-term
8567 learning it is to adapt to broader trends in the way in which the
8568 market demand and supply changes over time. We benchmark our strategy
8569 against the current state of the art (ZIP and GDX) and show that
8570 it outperforms these benchmarks in both static and dynamic environments.
8571 This is true both when the population is homogeneous (where the increase
8572 in efficiency is up to 5.2%) and heterogeneous (in which case there
8573 is a 0.85 probability of our strategy being adopted in a two-population
8574 evolutionary game theoretic analysis). },
8575 doi = {10.1016/j.artint.2008.06.001},
8576 issn = {0004-3702},
8577 keywords = {Continuous double auction},
8578 url = {http://www.sciencedirect.com/science/article/pii/S0004370208000787}
8579}
8580
8581@ARTICLE{Wal08,
8582 author = {Wallenius, J. and Dyer, J. and Firshburn, P. and Steuer, R. and Zionts,
8583 S. and Deb, K.},
8584 title = {Multiple Criteria Decision Making and Multiattribute Utility Theory:
8585 Recent Accomplishments and What Lies Ahead},
8586 journal = {Management Science},
8587 year = {2008},
8588 volume = {54},
8589 pages = {1336-1349},
8590 abstract = {This paper is an update of a paper that five of us published in 1992.
8591 The areas of multiple criteria decision making (MCDM) and multiattribute
8592 utility theory (MAUT) continue to be active areas of management science
8593 research and application. This paper extends the history of these
8594 areas and discusses topics we believe to be important for the future
8595 of these fields.}
8596}
8597
8598@BOOK{Wan95,
8599 title = {Kernel smoothing},
8600 publisher = {Chapman \& Hall/CRC},
8601 year = {1995},
8602 author = {Wand, M.P. and Jones, M.C.},
8603 owner = {---},
8604 timestamp = {2011.07.04}
8605}
8606
8607@INPROCEEDINGS{Wang04,
8608 author = {Wang, L.M. and Huang, H.K. and Chai, Y.M.},
8609 title = {A learning-based multistage negotiation model},
8610 booktitle = {Proceedings of International
8611 Conference on Machine Learning and Cybernetics},
8612 year = {2004},
8613 volume = {1},
8614 pages = {140--145},
8615 organization = {IEEE},
8616 owner = {Mark},
8617 timestamp = {2013.01.25}
8618}
8619
8620@ARTICLE{Wei79,
8621 author = {Weitzman, Martin L.},
8622 title = {Optimal search for the best alternative},
8623 journal = {Econometrica: Journal of the Econometric Society},
8624 year = {1979},
8625 pages = {641--654},
8626 publisher = {JSTOR},
8627 url = {http://scholar.harvard.edu/files/weitzman/files/optimalsearchbestalternative.pdf}
8628}
8629
8630@ARTICLE{Wel05,
8631 author = {Wellman, Michael P. and Estelle, Joshua and Singh, Satinder and Vorobeychik,
8632 Yevgeniy and Kiekintveld, Christopher and Soni, Vishal},
8633 title = {STRATEGIC INTERACTIONS IN A SUPPLY CHAIN GAME},
8634 journal = {Computational Intelligence},
8635 year = {2005},
8636 volume = {21},
8637 pages = {1--26},
8638 number = {1},
8639 abstract = {The TAC 2003 supply-chain game presented automated trading agents
8640 with a challenging strategic problem. Embedded within a high-dimensional
8641 stochastic environment was a pivotal strategic decision about initial
8642 procurement of components. Early evidence suggested that the entrant
8643 field was headed toward a self-destructive, mutually unprofitable
8644 equilibrium. Our agent, Deep Maize, introduced a preemptive strategy
8645 designed to neutralize aggressive procurement, perturbing the field
8646 to a more profitable equilibrium; it worked. Not only did preemption
8647 improve Deep Maize's profitability, it improved profitability for
8648 the whole field. Whereas it is perhaps counterintuitive that action
8649 designed to prevent others from achieving their goals actually helps
8650 them, strategic analysis employing an empirical game-theoretic methodology
8651 verifies and provides insight about this outcome.},
8652 doi = {10.1111/j.0824-7935.2005.00263.x},
8653 issn = {1467-8640},
8654 keywords = {trading agents, supply chain management, strategic reasoning, empirical
8655 game theory},
8656 publisher = {Blackwell Publishing, Inc.},
8657 url = {http://dx.doi.org/10.1111/j.0824-7935.2005.00263.x}
8658}
8659
8660@BOOK{Wel06,
8661 title = {Autonomous Bidding Agents: Strategies and Lessons from the Trading
8662 Agent Competition},
8663 publisher = {MIT Press},
8664 year = {2007},
8665 author = {Michael P. Wellman and Amy Greenwald and Peter Stone},
8666 address = {Cambridge MA, USA}
8667}
8668
8669@ARTICLE{Tac01,
8670 author = {Michael P. Wellman and Peter R. Wurman and Kevin O'Malley and Roshan
8671 Bangera and Shou-de Lin and Daniel Reeves and William E. Walsh},
8672 title = {Designing the Market Game for a Trading Agent Competition},
8673 journal = {IEEE Internet Computing},
8674 year = {2001},
8675 volume = {5},
8676 pages = {43--51},
8677 number = {2},
8678 address = {Piscataway, NJ, USA},
8679 doi = {http://dx.doi.org/10.1109/4236.914647},
8680 issn = {1089-7801},
8681 owner = {tim},
8682 publisher = {IEEE Educational Activities Department},
8683 timestamp = {2010.06.03}
8684}
8685
8686@PHDTHESIS{Wil12phdthesis,
8687 author = {Colin R. Williams},
8688 title = {Practical Strategies for Agent-Based Negotiation in Complex Environments},
8689 school = {University of Southampton},
8690 year = {2012},
8691 month = {Dec},
8692 abstract = {Agent-based negotiation, whereby the negotiation is automated by software
8693 programs, can be applied to many different negotiation situations,
8694 including negotiations between friends, businesses or countries.
8695 A key benefit of agent-based negotiation over human negotiation is
8696 that it can be used to negotiate effectively in complex negotiation
8697 environments, which consist of multiple negotiation issues, time
8698 constraints, and multiple unknown opponents. While automated negotiation
8699 has been an active area of research in the past twenty years, existing
8700 work has a number of limitations. Specifically, most of the existing
8701 literature has considered time constraints in terms of the number
8702 of rounds of negotiation that take place. In contrast, in this work
8703 we consider time constraints which are based on the amount of time
8704 that has elapsed. This requires a different approach, since the time
8705 spent computing the next action has an effect on the utility of the
8706 outcome, whereas the actual number of offers exchanged does not.
8707 In addition to these time constraints, in the complex negotiation
8708 environments which we consider, there are multiple negotiation issues,
8709 and we assume that the opponents? preferences over these issues and
8710 the behaviour of those opponents are unknown. Finally, in our environment
8711 there can be concurrent negotiations between many participants.
8712
8713 Against this background, in this thesis we present the design of a
8714 range of practical negotiation strategies, the most advanced of which
8715 uses Gaussian process regression to coordinate its concession against
8716 its various opponents, whilst considering the behaviour of those
8717 opponents and the time constraints. In more detail, the strategy
8718 uses observations of the offers made by each opponent to predict
8719 the future concession of that opponent. By considering the discounting
8720 factor, it predicts the future time which maximises the utility of
8721 the offers, and we then use this in setting our rate of concession.
8722 Furthermore, we evaluate the negotiation agents that we have developed,
8723 which use our strategies, and show that, particularly in the more
8724 challenging scenarios, our most advanced strategy outperforms other
8725 state-of-the-art agents from the Automated Negotiating Agent Competition,
8726 which provides an international benchmark for this work. In more
8727 detail, our results show that, in one-to-one negotiation, in the
8728 highly discounted scenarios, our agent reaches outcomes which, on
8729 average, are 2.3\% higher than those of the next best agent.
8730
8731 Furthermore, using empirical game theoretic analysis we show the robustness
8732 of our strategy in a variety of tournament settings. This analysis
8733 shows that, in the highly discounted scenarios, no agent can benefit
8734 by choosing a different strategy (taken from the top four strategies
8735 in that setting) than ours. Finally, in the many-to-many negotiations,
8736 we show how our strategy is particularly effective in highly competitive
8737 scenarios, where it outperforms the state-of-the-art many-to-many
8738 negotiation strategy by up to 45\%.},
8739 owner = {Mark},
8740 timestamp = {2013.06.05},
8741 url = {http://eprints.soton.ac.uk/348190/}
8742}
8743
8744@INCOLLECTION{ANAC2012,
8745 author={Williams, Colin R. and Robu, Valentin and Gerding, Enrico H. and Jennings, Nicholas R.},
8746 title = {An overview of the results and insights from the third automated negotiating agents competition {(ANAC 2012)}},
8747 booktitle = {Novel Insights in Agent-based Complex Automated Negotiation},
8748 publisher = {Springer, Japan},
8749 year = {2014},
8750editor={Marsa-Maestre, Ivan and Lopez-Carmona, Miguel A. and Ito, Takayuki and Zhang, Minjie and Bai, Quan and Fujita, Katsuhide},
8751 volume = {535},
8752 series = {Studies in Computational Intelligence},
8753 pages = {151-162},
8754 url={http://dx.doi.org/10.1007/978-4-431-54758-7_9},
8755 doi={10.1007/978-4-431-54758-7_9},
8756 keywords={AI competitions; Automated negotiation; Multi-agent systems},
8757 isbn = {978-4-431-54757-0}
8758}
8759
8760@INCOLLECTION{ANAC2012OMACAgent,
8761 author = {Chen, S. and Weiss, G.},
8762 title = {{OMAC}: a discrete wavelet transformation based negotiation agent},
8763 booktitle = {Novel Insights in Agent-based Complex Automated Negotiation},
8764 publisher = {Springer, Japan},
8765 year = {2014},
8766 editor = {Marsa-Maestre, I. and Lopez-Carmona, M.A. and Ito, T. and Zhang,
8767 M. and Bai, Q. and Fujita, K.},
8768 volume = {535},
8769 series = {Studies in Computational Intelligence},
8770 pages = {187-196},
8771 isbn = {978-4-431-54757-0}
8772}
8773
8774@INCOLLECTION{ANAC2012TheNegotiatorReloaded,
8775 author = {Alexander S.Y. Dirkzwager and Mark J.C. Hendrikx},
8776 title = {An Adaptive Negotiation Strategy for Real-Time Bilateral Negotiations},
8777 booktitle = {Novel Insights in Agent-based Complex Automated Negotiation},
8778 publisher = {Springer, Japan},
8779 year = {2014},
8780 editor = {Marsa-Maestre, I. and Lopez-Carmona, M.A. and Ito, T. and Zhang,
8781 M. and Bai, Q. and Fujita, K.},
8782 volume = {535},
8783 series = {Studies in Computational Intelligence},
8784 pages = {163-170},
8785 isbn = {978-4-431-54757-0}
8786}
8787
8788
8789@article{Hao14,
8790title = "An efficient and robust negotiating strategy in bilateral negotiations over multiple items",
8791journal = "Engineering Applications of Artificial Intelligence",
8792volume = "34",
8793number = "0",
8794pages = "45 - 57",
8795year = "2014",
8796issn = "0952-1976",
8797doi = "http://dx.doi.org/10.1016/j.engappai.2014.05.008",
8798url = "http://www.sciencedirect.com/science/article/pii/S0952197614001067",
8799author = {Jianye Hao and Songzheng Song and {Ho-fung} Leung and Zhong Ming},
8800keywords = "Bilateral negotiation",
8801abstract = "Abstract Multi-item negotiations surround our daily life and usually involve two parties that share common or conflicting interests. Effective automated negotiation techniques should enable the agents to adaptively adjust their behaviors depending on the characteristics of their negotiating partners and negotiation scenarios. This is complicated by the fact that the negotiation agents are usually unwilling to reveal their information (strategies and preferences) to avoid being exploited during negotiation. In this paper, we propose an adaptive negotiation strategy, called ABiNeS, which can make effective negotiations against different types of negotiating partners. The {ABiNeS} strategy employs the non-exploitation point to adaptively adjust the appropriate time to stop exploiting the negotiating partner and also predicts the optimal offer for the negotiating partner based on the reinforcement-learning based approach. Simulation results show that the {ABiNeS} strategy can perform more efficient exploitations against different types of negotiating partners, and thus achieve higher overall payoffs compared with the state-of-the-art strategies under negotiation tournaments. We also provide a detailed analysis of why the {ABiNeS} strategy can negotiate more efficiently compared with other existing state-of-the-art negotiation strategies focusing on two major components. Lastly, we propose adopting the single-agent best deviation principle to analyze the robustness of different negotiation strategies based on model checking techniques. Through our analysis, the {ABiNeS} strategy is shown to be very robust against other state-of-the-art strategies under different negotiation contexts. "
8802}
8803
8804
8805
8806
8807@INCOLLECTION{ANAC2012CUHKAgent,
8808author={Hao, Jianye and Leung, {Ho-fung}},
8809 title = {{CUHK} agent: an adaptive negotiation strategy for bilateral negotiations over multiple items},
8810 booktitle = {Novel Insights in Agent-based Complex Automated Negotiation},
8811 publisher = {Springer, Japan},
8812 year = {2014},
8813editor={Marsa-Maestre, Ivan and Lopez-Carmona, Miguel A. and Ito, Takayuki and Zhang, Minjie and Bai, Quan and Fujita, Katsuhide},
8814 doi={10.1007/978-4-431-54758-7_11},
8815 volume = {535},
8816 series = {Studies in Computational Intelligence},
8817pages={171-179},
8818 isbn = {978-4-431-54757-0}
8819}
8820
8821@INPROCEEDINGS{ANAC2012CUHKAgentIAT,
8822 author = {Hao, Jianye and Leung, {Ho-fung}},
8823 title = {{ABiNeS}: An Adaptive Bilateral Negotiating Strategy over Multiple Items},
8824 booktitle = {Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology},
8825 year = {2012},
8826 month={Dec},
8827 volume={2},
8828 series = {WI-IAT '12},
8829 pages = {95--102},
8830 address = {Washington, DC, USA},
8831 publisher = {IEEE Computer Society},
8832 acmid = {2457744},
8833 doi = {10.1109/WI-IAT.2012.72},
8834 isbn = {978-0-7695-4880-7},
8835 numpages = {8},
8836 owner = {Mark},
8837 timestamp = {2013.06.03},
8838 url = {http://dx.doi.org/10.1109/WI-IAT.2012.72}
8839}
8840
8841@INCOLLECTION{ANAC2012MetaAgent,
8842 author = {Ilany, L. and Gal, Y. (K.)},
8843 title = {The simple-meta agent},
8844 booktitle = {Novel Insights in Agent-based Complex Automated Negotiation},
8845 publisher = {Springer, Japan},
8846 year = {2014},
8847 editor = {Marsa-Maestre, I. and Lopez-Carmona, M.A. and Ito, T. and Zhang,
8848 M. and Bai, Q. and Fujita, K.},
8849 volume = {535},
8850 series = {Studies in Computational Intelligence},
8851 pages = {197-200},
8852 isbn = {978-4-431-54757-0}
8853}
8854
8855@INPROCEEDINGS{ANAC2012MetaAgentAAAI,
8856 author = {Litan Ilany and Yakov Gal},
8857 title = {Algorithm Selection in Bilateral Negotiation},
8858 booktitle = {Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence (AAAI 2013)},
8859 year = {2013},
8860 abstract = {Despite the abundance of strategies in the literature on repeated
8861 negotiation under incomplete information, there is no single negotiation
8862 strategy that is optimal for all possible set- tings. Thus, agent
8863 designers face an algorithm selection problem which negotiation strategy
8864 to choose when facing a new negotiation. Our approach to this problem
8865 is to pre- dict the performance of different strategies based on
8866 structural features of the domain and to select the negotiation strategy
8867 that is predicted to be most successful using a meta-agent. This
8868 agent was able to outperform all of the finalists to the recent Automated
8869 Negotiation Agent Competition (ANAC). Our results have insights for
8870 agent-designers, demonstrating that a little learning goes a long
8871 way, despite the inherent uncertainty associated with negotiation
8872 under incomplete information.},
8873 conference = {AAAI Workshops},
8874 keywords = {negotiation, algorithm selection, decision-making},
8875 url = {http://www.aaai.org/ocs/index.php/WS/AAAIW13/paper/view/7111/6687}
8876}
8877
8878@INCOLLECTION{ANAC2012AgentMR,
8879 author = {Morii, S. and Ito, T.},
8880 title = {{AgentMR}: concession strategy based on heuristic for automated negotiating agents},
8881 booktitle = {Novel Insights in Agent-based Complex Automated Negotiation},
8882 publisher = {Springer, Japan},
8883 year = {2014},
8884 editor = {Marsa-Maestre, I. and Lopez-Carmona, M.A. and Ito, T. and Zhang,
8885 M. and Bai, Q. and Fujita, K.},
8886 volume = {535},
8887 series = {Studies in Computational Intelligence},
8888 pages = {181-186},
8889 isbn = {978-4-431-54757-0}
8890}
8891
8892@Inbook{ANAC2013,
8893author="(Ya'akov) Gal, Kobi
8894and Ilany, Litan",
8895editor="Fujita, Katsuhide
8896and Ito, Takayuki
8897and Zhang, Minjie
8898and Robu, Valentin",
8899chapter="The Fourth Automated Negotiation Competition",
8900title="Next Frontier in Agent-based Complex Automated Negotiation",
8901year="2015",
8902publisher="Springer Japan",
8903address="Tokyo",
8904pages="129--136",
8905isbn="978-4-431-55525-4",
8906doi="10.1007/978-4-431-55525-4_8",
8907url="http://dx.doi.org/10.1007/978-4-431-55525-4_8"
8908}
8909
8910@misc{ANAC2013all,
8911 title={The forth international automated negotiating agents competition (ANAC2013)},
8912 author={Gal, K and Ito, T and Jonker, C and Kraus, S and Hindriks, K and Lin, R and Baarslag, T},
8913 year={2013}
8914}
8915
8916@INCOLLECTION{ANAC2013AgentMRK2,
8917 author = {Morii, Shota and Ito, Takayuki},
8918 title = {Agent's Strategy in Multiple-Issue Negotiation Competition and Analysis of Result},
8919 booktitle = {PRIMA 2013: Principles and Practice of Multi-Agent Systems},
8920 publisher = {Springer Berlin Heidelberg},
8921 year = {2013},
8922 editor = {Boella, Guido and Elkind, Edith and Savarimuthu, Bastin Tony Roy
8923 and Dignum, Frank and Purvis, Martin K.},
8924 volume = {8291},
8925 series = {Lecture Notes in Computer Science},
8926 pages = {486-493},
8927 doi = {10.1007/978-3-642-44927-7_38},
8928 isbn = {978-3-642-44926-0},
8929 keywords = {Multi-Agent System; Multi-issue Negotiation; Automated Negotiation Competition},
8930 url = {http://dx.doi.org/10.1007/978-3-642-44927-7\_38}
8931}
8932
8933@Inbook{ANAC2014BraveCat,
8934author="Zafari, Farhad and Nassiri-Mofakham, Faria",
8935editor="Fukuta, Naoki and Ito, Takayuki and Zhang, Minjie and Fujita, Katsuhide and Robu, Valentin",
8936chapter="BraveCat: Iterative Deepening Distance-Based Opponent Modeling and Hybrid Bidding in Nonlinear Ultra Large Bilateral Multi Issue Negotiation Domains",
8937title="Recent Advances in Agent-based Complex Automated Negotiation",
8938year="2016",
8939publisher="Springer International Publishing",
8940address="Cham",
8941pages="285--293",
8942isbn="978-3-319-30307-9",
8943doi="10.1007/978-3-319-30307-9_21",
8944url="http://dx.doi.org/10.1007/978-3-319-30307-9_21"
8945}
8946
8947@Inbook{ANAC2014AgentYK,
8948author="Kadono, Yoshiaki",
8949editor="Fukuta, Naoki and Ito, Takayuki and Zhang, Minjie and Fujita, Katsuhide and Robu, Valentin",
8950chapter="Agent YK: An Efficient Estimation of Opponent's Intention with Stepped Limited Concessions",
8951title="Recent Advances in Agent-based Complex Automated Negotiation",
8952year="2016",
8953publisher="Springer International Publishing",
8954address="Cham",
8955pages="279--283",
8956isbn="978-3-319-30307-9",
8957doi="10.1007/978-3-319-30307-9_20",
8958url="http://dx.doi.org/10.1007/978-3-319-30307-9_20"
8959}
8960
8961@Inbook{ANAC2014Group2Agent,
8962author="Sz{\"o}ll{\H{o}}si-Nagy, B{\'a}lint and Festen, David and Skar{\.{z}}y{\'{n}}ska, Marta M.",
8963editor="Fukuta, Naoki and Ito, Takayuki and Zhang, Minjie and Fujita, Katsuhide and Robu, Valentin",
8964chapter="A Greedy Coordinate Descent Algorithm for High-Dimensional Nonlinear Negotiation",
8965title="Recent Advances in Agent-based Complex Automated Negotiation",
8966year="2016",
8967publisher="Springer International Publishing",
8968address="Cham",
8969pages="249--260",
8970isbn="978-3-319-30307-9",
8971doi="10.1007/978-3-319-30307-9_17",
8972url="http://dx.doi.org/10.1007/978-3-319-30307-9_17"
8973}
8974
8975@Inbook{ANAC2015Buyog,
8976author="Sosale, Bhargav
8977and Satish, Swarup
8978and An, Bo",
8979editor="Fujita, Katsuhide
8980and Bai, Quan
8981and Ito, Takayuki
8982and Zhang, Minjie
8983and Ren, Fenghui
8984and Aydo{\u{g}}an, Reyhan
8985and Hadfi, Rafik",
8986title="Agent Buyog: A Negotiation Strategy for Tri-Party Multi Issue Negotiation",
8987bookTitle="Modern Approaches to Agent-based Complex Automated Negotiation",
8988year="2017",
8989publisher="Springer International Publishing",
8990address="Cham",
8991pages="191--199",
8992isbn="978-3-319-51563-2",
8993doi="10.1007/978-3-319-51563-2_14",
8994url="http://dx.doi.org/10.1007/978-3-319-51563-2_14"
8995}
8996
8997@Inbook{ANAC2015Pokerface,
8998author="Peperkamp, J. B.
8999and Smit, V. J.",
9000editor="Fujita, Katsuhide
9001and Bai, Quan
9002and Ito, Takayuki
9003and Zhang, Minjie
9004and Ren, Fenghui
9005and Aydo{\u{g}}an, Reyhan
9006and Hadfi, Rafik",
9007title="Pokerface: The Pokerface Strategy for Multiparty Negotiation",
9008bookTitle="Modern Approaches to Agent-based Complex Automated Negotiation",
9009year="2017",
9010publisher="Springer International Publishing",
9011address="Cham",
9012pages="213--218",
9013isbn="978-3-319-51563-2",
9014doi="10.1007/978-3-319-51563-2_16",
9015url="http://dx.doi.org/10.1007/978-3-319-51563-2_16"
9016}
9017
9018@Inbook{ANAC2015Phoenix,
9019author="Lam, Max W. Y.
9020and Leung, Ho-fung",
9021editor="Fujita, Katsuhide
9022and Bai, Quan
9023and Ito, Takayuki
9024and Zhang, Minjie
9025and Ren, Fenghui
9026and Aydo{\u{g}}an, Reyhan
9027and Hadfi, Rafik",
9028title="Phoenix: A Threshold Function Based Negotiation Strategy Using Gaussian Process Regression and Distance-Based Pareto Frontier Approximation",
9029bookTitle="Modern Approaches to Agent-based Complex Automated Negotiation",
9030year="2017",
9031publisher="Springer International Publishing",
9032address="Cham",
9033pages="201--212",
9034isbn="978-3-319-51563-2",
9035doi="10.1007/978-3-319-51563-2_15",
9036url="http://dx.doi.org/10.1007/978-3-319-51563-2_15"
9037}
9038
9039@Inbook{ANAC2015JohnnyBlack,
9040author="Yucel, Osman
9041and Hoffman, Jon
9042and Sen, Sandip",
9043editor="Fujita, Katsuhide
9044and Bai, Quan
9045and Ito, Takayuki
9046and Zhang, Minjie
9047and Ren, Fenghui
9048and Aydo{\u{g}}an, Reyhan
9049and Hadfi, Rafik",
9050title="Jonny Black: A Mediating Approach to Multilateral Negotiations",
9051bookTitle="Modern Approaches to Agent-based Complex Automated Negotiation",
9052year="2017",
9053publisher="Springer International Publishing",
9054address="Cham",
9055pages="231--238",
9056isbn="978-3-319-51563-2",
9057doi="10.1007/978-3-319-51563-2_18",
9058url="http://dx.doi.org/10.1007/978-3-319-51563-2_18"
9059}
9060
9061@Inbook{ANAC2015SPGP,
9062author="Chen, Siqi
9063and Hao, Jianye
9064and Zhou, Shuang
9065and Weiss, Gerhard",
9066editor="Fujita, Katsuhide
9067and Bai, Quan
9068and Ito, Takayuki
9069and Zhang, Minjie
9070and Ren, Fenghui
9071and Aydo{\u{g}}an, Reyhan
9072and Hadfi, Rafik",
9073title="Negotiating with Unknown Opponents Toward Multi-lateral Agreement in Real-Time Domains",
9074bookTitle="Modern Approaches to Agent-based Complex Automated Negotiation",
9075year="2017",
9076publisher="Springer International Publishing",
9077address="Cham",
9078pages="219--229",
9079isbn="978-3-319-51563-2",
9080doi="10.1007/978-3-319-51563-2_17",
9081url="http://dx.doi.org/10.1007/978-3-319-51563-2_17"
9082}
9083
9084@Inbook{ANAC2015DependencyBased,
9085author="Mori, Akiyuki
9086and Morii, Shota
9087and Ito, Takayuki",
9088editor="Fujita, Katsuhide
9089and Bai, Quan
9090and Ito, Takayuki
9091and Zhang, Minjie
9092and Ren, Fenghui
9093and Aydo{\u{g}}an, Reyhan
9094and Hadfi, Rafik",
9095title="A Dependency-Based Mediation Mechanism for Complex Negotiations",
9096bookTitle="Modern Approaches to Agent-based Complex Automated Negotiation",
9097year="2017",
9098publisher="Springer International Publishing",
9099address="Cham",
9100pages="51--66",
9101isbn="978-3-319-51563-2",
9102doi="10.1007/978-3-319-51563-2_4",
9103url="http://dx.doi.org/10.1007/978-3-319-51563-2_4"
9104}
9105
9106@Inbook{ANAC2015SPEA2,
9107author="Kakimoto, Shinji
9108and Fujita, Katsuhide",
9109editor="Fujita, Katsuhide
9110and Bai, Quan
9111and Ito, Takayuki
9112and Zhang, Minjie
9113and Ren, Fenghui
9114and Aydo{\u{g}}an, Reyhan
9115and Hadfi, Rafik",
9116title="Compromising Strategy Considering Interdependencies of Issues for Multi-issue Closed Nonlinear Negotiations",
9117bookTitle="Modern Approaches to Agent-based Complex Automated Negotiation",
9118year="2017",
9119publisher="Springer International Publishing",
9120address="Cham",
9121pages="85--100",
9122isbn="978-3-319-51563-2",
9123doi="10.1007/978-3-319-51563-2_6",
9124url="http://dx.doi.org/10.1007/978-3-319-51563-2_6"
9125}
9126
9127@Inbook{ANAC2015Atlas3,
9128author="Mori, Akiyuki
9129and Ito, Takayuki",
9130editor="Fujita, Katsuhide
9131and Bai, Quan
9132and Ito, Takayuki
9133and Zhang, Minjie
9134and Ren, Fenghui
9135and Aydo{\u{g}}an, Reyhan
9136and Hadfi, Rafik",
9137title="Atlas3: A Negotiating Agent Based on Expecting Lower Limit of Concession Function",
9138bookTitle="Modern Approaches to Agent-based Complex Automated Negotiation",
9139year="2017",
9140publisher="Springer International Publishing",
9141address="Cham",
9142pages="169--173",
9143isbn="978-3-319-51563-2",
9144doi="10.1007/978-3-319-51563-2_11",
9145url="http://dx.doi.org/10.1007/978-3-319-51563-2_11"
9146}
9147
9148@Inbook{ANAC2015ParsAgent,
9149author="Khosravimehr, Zahra
9150and Nassiri-Mofakham, Faria",
9151editor="Fujita, Katsuhide
9152and Bai, Quan
9153and Ito, Takayuki
9154and Zhang, Minjie
9155and Ren, Fenghui
9156and Aydo{\u{g}}an, Reyhan
9157and Hadfi, Rafik",
9158title="Pars Agent: Hybrid Time-Dependent, Random and Frequency-Based Bidding and Acceptance Strategies in Multilateral Negotiations",
9159bookTitle="Modern Approaches to Agent-based Complex Automated Negotiation",
9160year="2017",
9161publisher="Springer International Publishing",
9162address="Cham",
9163pages="175--183",
9164isbn="978-3-319-51563-2",
9165doi="10.1007/978-3-319-51563-2_12",
9166url="http://dx.doi.org/10.1007/978-3-319-51563-2_12"
9167}
9168
9169@INPROCEEDINGS{Wil12,
9170 author = {Colin R. Williams and Valentin Robu and Enrico H. Gerding and Nicholas R. Jennings},
9171 title = {Towards a Platform for Concurrent Negotiations in Complex Domain},
9172 booktitle = {Proceedings of The Fifth International Workshop on Agent-based Complex
9173 Automated Negotiations (ACAN 2012)},
9174 year = {2012}
9175}
9176
9177@INPROCEEDINGS{ANAC2010WilExt,
9178 author = {Colin R. Williams and Valentin Robu and Enrico H. Gerding and Nicholas
9179 R. Jennings},
9180 title = {IAMhaggler: A Negotiation Agent for Complex Environments},
9181 booktitle = {New Trends in Agent-based Complex Automated Negotiations},
9182 series={Studies in Computational Intelligence},
9183 year = {2012},
9184 doi={10.1007/978-3-642-24696-8_10},
9185 editor = {Takayuki Ito and Minjie Zhang and Valentin Robu and Shaheen Fatima
9186 and Tokuro Matsuo},
9187 pages = {151-158},
9188 address = {Berlin, Heidelberg},
9189 publisher = {Springer-Verlag},
9190 isbn = {978-3-642-24695-1},
9191 owner = {tim},
9192 url = {http://eprints.soton.ac.uk/271662/1/acan2010.pdf}
9193}
9194
9195@INCOLLECTION{ANAC2011Wil,
9196 author = {Williams, Colin R. and Robu, Valentin and Gerding, Enrico H. and
9197 Jennings, Nicholas R.},
9198 title = {IAMhaggler2011: A Gaussian Process Regression Based Negotiation Agent},
9199 booktitle = {Complex Automated Negotiations: Theories, Models, and Software Competitions},
9200 publisher = {Springer Berlin Heidelberg},
9201 year = {2013},
9202 editor = {Ito, Takayuki and Zhang, Minjie and Robu, Valentin and Matsuo, Tokuro},
9203 volume = {435},
9204 series = {Studies in Computational Intelligence},
9205 pages = {209-212},
9206 doi = {10.1007/978-3-642-30737-9\_14},
9207 isbn = {978-3-642-30736-2},
9208 url = {http://dx.doi.org/10.1007/978-3-642-30737-9\_14}
9209}
9210
9211@INCOLLECTION{ANAC2011Wilshort,
9212 author = {Williams, Colin R. and Robu, Valentin and Gerding, Enrico H. and
9213 Jennings, Nicholas R.},
9214 title = {IAMhaggler2011: A Gaussian Process Regression Based Negotiation Agent},
9215 booktitle = {Complex Automated Negotiations: Theories, Models, and Software Competitions},
9216 publisher = {Springer Berlin Heidelberg},
9217 year = {2013},
9218 pages = {209-212},
9219 doi = {10.1007/978-3-642-30737-9\_14},
9220 isbn = {978-3-642-30736-2},
9221 url = {http://dx.doi.org/10.1007/978-3-642-30737-9\_14}
9222}
9223
9224@ARTICLE{ANAC2010Wil,
9225 author = {Colin R. Williams and Valentin Robu and Enrico H. Gerding and Nicholas
9226 R. Jennings},
9227 title = {IAMhaggler: A Negotiation Agent for Complex Environments},
9228 journal = {This volume},
9229 year = {2012},
9230 pages = {151-158}
9231}
9232
9233@INPROCEEDINGS{ANAC2010WilExtshort,
9234 author = {Colin R. Williams and Valentin Robu and Enrico H. Gerding and Nicholas
9235 R. Jennings},
9236 title = {IAMhaggler: A Negotiation Agent for Complex Environments},
9237 booktitle = {New Trends in Agent-based Complex Automated Negotiations},
9238 year = {2012},
9239 pages = {151-158},
9240 address = {Berlin, Heidelberg},
9241 publisher = {Springer-Verlag},
9242 isbn = {978-3-642-24695-1},
9243 owner = {tim},
9244 url = {http://eprints.soton.ac.uk/271662/1/acan2010.pdf}
9245}
9246
9247@INPROCEEDINGS{ANAC2010WilExtshorter,
9248 author = {Colin R. Williams and Valentin Robu and Enrico H. Gerding and Nicholas
9249 R. Jennings},
9250 title = {IAMhaggler: A Negotiation Agent for Complex Environments},
9251 booktitle = {New Trends in Agent-based Complex Automated Negotiations},
9252 year = {2012},
9253 pages = {151-158},
9254 publisher = {Springer-Verlag},
9255 isbn = {978-3-642-24695-1},
9256 owner = {tim},
9257 timestamp = {2013.04.20}
9258}
9259
9260@INPROCEEDINGS{Wil12Concurrently,
9261 author = {Colin R. Williams and Valentin Robu and Enrico H. Gerding and Nicholas R. Jennings},
9262 title = {Negotiating Concurrently with Unknown Opponents in Complex, Real-Time Domains},
9263 booktitle = {20th European Conference on Artificial Intelligence},
9264 year = {2012},
9265 volume = {242},
9266 pages = {834--839},
9267 month = {Aug},
9268 abstract = {We propose a novel strategy to enable autonomous agents to negotiate
9269 concurrently with multiple, unknown opponents in real-time, over
9270 complex multi-issue domains. We formalise our strategy as an optimisation
9271 problem, in which decisions are based on probabilistic information
9272 about the opponents' strategies acquired during negotiation. In doing
9273 so, we develop the first principled approach that enables the coordination
9274 of multiple, concurrent negotiation threads for practical negotiation
9275 settings. Furthermore, we validate our strategy using the agents
9276 and domains developed for the International Automated Negotiating
9277 Agents Competition (ANAC), and we benchmark our strategy against
9278 the state-of-the-art. We find that our approach significantly outperforms
9279 existing approaches, and this difference improves even further as
9280 the number of available negotiation opponents and the complexity
9281 of the negotiation domain increases.},
9282 keywords = {Automated Negotiation, Multi-issue Negotiation, Concurrent Negotiation},
9283 owner = {Mark},
9284 timestamp = {2013.02.11},
9285 url = {http://eprints.soton.ac.uk/339064/}
9286}
9287
9288@INPROCEEDINGS{Wil11,
9289 author = {Williams, Colin R. and Robu, Valentin and Gerding, Enrico H. and Jennings, Nicholas R.},
9290 title = {Using Gaussian processes to optimise concession in complex negotiations against unknown opponents},
9291 booktitle = {Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence},
9292 volume={1},
9293 year = {2011},
9294 series = {IJCAI'11},
9295 pages = {432--438},
9296 publisher = {AAAI Press},
9297 acmid = {2283467},
9298 doi = {10.5591/978-1-57735-516-8/IJCAI11-080},
9299 isbn = {978-1-57735-513-7},
9300 location = {Barcelona, Catalonia, Spain},
9301 numpages = {7},
9302 url = {http://dx.doi.org/10.5591/978-1-57735-516-8/IJCAI11-080}
9303}
9304
9305@INPROCEEDINGS{Wil11short,
9306 author = {Colin R. Williams and Valentin Robu and Enrico H. Gerding and Nicholas R. Jennings},
9307 title = {Using Gaussian Processes to Optimise Concession in Complex Negotiations against Unknown Opponents},
9308 booktitle = {Proceedings of the 22nd International Joint Conference on Artificial Intelligence},
9309 year = {2011},
9310 month = {Jan},
9311 publisher = {AAAI Press},
9312 abstract = {In multi-issue automated negotiation against unknown opponents, a
9313 key part of effective negotiation is the choice of concession strategy.
9314 In this paper, we develop a principled concession strategy, based
9315 on Gaussian processes predicting the opponent's future behaviour.
9316 We then use this to set the agent's concession rate dynamically during
9317 a single negotiation session. We analyse the performance of our strategy
9318 and show that it outperforms the state-of-the-art negotiating agents
9319 from the 2010 Automated Negotiating Agents Competition, in both a
9320 tournament setting and in self-play, across a variety of negotiation
9321 domains.},
9322 owner = {Mark},
9323 timestamp = {2013.04.20}
9324}
9325
9326@ARTICLE{Wit86,
9327 author = {Wittman, Donald},
9328 title = {Final-Offer Arbitration},
9329 journal = {Management Science},
9330 year = {1986},
9331 volume = {32},
9332 pages = {1551--1561},
9333 number = {12},
9334 abstract = {In final-offer arbitration the two parties to a dispute submit final
9335 offers to an arbitrator. The arbitrator then chooses as the binding
9336 solution that offer which is closest to his own view of the appropriate
9337 outcome. Because the disputants are imperfectly informed about the
9338 arbitrator's preferences, final-offer arbitration can be modeled
9339 as a game of imperfect information. Interesting questions arise concerning
9340 the nature of the optimal strategies and how they are affected by
9341 different characteristics of the arbitrator and the disputants. We
9342 provide conditions for an equilibrium to exist in a final-offer arbitration
9343 game when there are k issues, the probability function is not specified
9344 and the disputants are either risk averse or risk neutral. Furthermore,
9345 the players may have differing beliefs about the arbitrator's probability
9346 function. We demonstrate that increased risk aversion by one of the
9347 parties will result in both players choosing positions farther away
9348 from the more risk averse party. We also discover the affect of bias
9349 (as well as the effect of increased sensitivity) by the arbitrator
9350 on the positions taken by the players.},
9351 copyright = {Copyright 1986 INFORMS},
9352 issn = {00251909},
9353 jstor_articletype = {primary article},
9354 jstor_formatteddate = {Dec., 1986},
9355 owner = {tim},
9356 publisher = {INFORMS},
9357 timestamp = {2010.07.20},
9358 url = {http://www.jstor.org/stable/2631829}
9359}
9360
9361@INCOLLECTION{Wu13,
9362 author = {Mengxiao Wu and Mathijs de Weerdt and Johannes A. La Poutr\'{e}},
9363 title = {Acceptance Strategies for Maximizing Agent Profits in Online Scheduling},
9364 booktitle = {Agent-Mediated Electronic Commerce. Designing Trading Strategies and Mechanisms for Electronic Markets},
9365 publisher = {Springer Berlin Heidelberg},
9366 year = {2013},
9367 editor = {David, Esther and Robu, Valentin and Shehory, Onn and Stein, Sebastian
9368 and Symeonidis, Andreas},
9369 volume = {119},
9370 series = {Lecture Notes in Business Information Processing},
9371 pages = {115-128},
9372 doi = {10.1007/978-3-642-34889-1\_9},
9373 isbn = {978-3-642-34888-4},
9374 keywords = {Online decisions; Resource allocation; Admission control},
9375 url = {http://dx.doi.org/10.1007/978-3-642-34889-1\_9}
9376}
9377
9378@ARTICLE{You93,
9379 author = {Young, H Peyton},
9380 title = {The evolution of conventions},
9381 journal = {Econometrica: Journal of the Econometric Society},
9382 year = {1993},
9383 volume = {61},
9384 pages = {57--84},
9385 number = {1},
9386 publisher = {JSTOR}
9387}
9388
9389@INCOLLECTION{Yu13,
9390 author = {Yu, Chao and Ren, Fenghui and Zhang, Minjie},
9391 title = {An Adaptive Bilateral Negotiation Model Based on Bayesian Learning},
9392 booktitle = {Complex Automated Negotiations: Theories, Models, and Software Competitions},
9393 publisher = {Springer Berlin Heidelberg},
9394 year = {2013},
9395 editor = {Ito, Takayuki and Zhang, Minjie and Robu, Valentin and Matsuo, Tokuro},
9396 volume = {435},
9397 series = {Studies in Computational Intelligence},
9398 pages = {75-93},
9399 doi = {10.1007/978-3-642-30737-9\_5},
9400 isbn = {978-3-642-30736-2},
9401 owner = {Mark},
9402 timestamp = {2013.05.28},
9403 url = {http://dx.doi.org/10.1007/978-3-642-30737-9\_5}
9404}
9405
9406@INPROCEEDINGS{Yua07,
9407 author = {Yuan, Yong and Liang, Yong-quan},
9408 title = {Multi-Issue Negotiation Research Based On Niched Co-evolutionary
9409 Genetic Algorithm},
9410 booktitle = {Proceedings of the Eighth ACIS International Conference on Software
9411 Engineering, Artificial Intelligence, Networking, and Parallel/Distributed
9412 Computing},
9413 volume = {1},
9414 year = {2007},
9415 series = {SNPD '07},
9416 pages = {564--569},
9417 address = {Washington, DC, USA},
9418 publisher = {IEEE Computer Society},
9419 acmid = {1307648},
9420 isbn = {0-7695-2909-7},
9421 numpages = {6},
9422 owner = {Mark},
9423 timestamp = {2013.02.08}
9424}
9425
9426@ARTICLE{Zac08,
9427 author = {Frederik Zachariassen},
9428 title = {Negotiation strategies in supply chain management},
9429 journal = {International Journal of Physical Distribution and Logistics Management},
9430 year = {2008},
9431 volume = {38},
9432 pages = {764--781},
9433 doi = {10.1108/09600030810926484},
9434 masid = {19963448},
9435 owner = {tim}
9436}
9437
9438@article{Zen98,
9439title = "Bayesian learning in negotiation ",
9440journal = "International Journal of Human-Computer Studies ",
9441volume = "48",
9442number = "1",
9443pages = "125 - 141",
9444year = "1998",
9445issn = "1071-5819",
9446doi = "http://dx.doi.org/10.1006/ijhc.1997.0164",
9447url = "http://www.sciencedirect.com/science/article/pii/S1071581997901646",
9448author = {Dajun Zeng and Katia P. Sycara},
9449abstract = "Negotiation has been extensively discussed in game-theoretic, economic and management science literatures for decades. Recent growing interest in autonomous interacting software agents and their potential application in areas such as electronic commerce has give increased importance to automated negotiation. Evidence both from theoretical analysis and from observations of human interactions suggests that if decision makers can somehow take into consideration what other agents are thinking and furthermore learn during their interactions how other agents behave, their payoff might increase. In this paper, we propose a sequential decision-making model of negotiation, called Bazaar. It provides an adaptive, multi-issue negotiation model capable of exhibiting a rich set of negotiation behaviors. Within the proposed negotiation framework, we model learning as a Bayesian belief update process. In this paper, we present both theoretical analysis and initial experimental results showing that learning is beneficial in the sequential negotiation model. "
9450}
9451
9452@inproceedings{Zen97,
9453 author = {Zeng, Dajun and Sycara, Katia P.},
9454 title = {Benefits of Learning in Negotiation},
9455 booktitle = {Proceedings of the Fourteenth National Conference on Artificial Intelligence and Ninth Conference on Innovative Applications of Artificial Intelligence},
9456 series = {AAAI'97/IAAI'97},
9457 year = {1997},
9458 isbn = {0-262-51095-2},
9459 location = {Providence, Rhode Island},
9460 pages = {36--41},
9461 numpages = {6},
9462 url = {http://dl.acm.org/citation.cfm?id=1867406.1867412},
9463 acmid = {1867412},
9464 publisher = {AAAI Press},
9465}
9466
9467
9468@ARTICLE{Zen97Learn,
9469 author = {Dajun Zeng and Katia P. Sycara},
9470 title = {How can an agent learn to negotiate?},
9471 journal = {Intelligent Agents III Agent Theories, Architectures, and Languages},
9472 year = {1997},
9473 volume = {1193},
9474 pages = {233--244},
9475 owner = {Mark},
9476 publisher = {Springer},
9477 timestamp = {2013.02.09}
9478}
9479
9