source: doc/genius.bib@ 1

@article {Genius,
        title = {Genius: An Integrated Environment for Supporting the Design of Generic Automated Negotiators},
        journal = {Computational Intelligence},
        year = {2012},
        publisher = {Blackwell Publishing Inc},
        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.},
        issn = {1467-8640},
        doi = {10.1111/j.1467-8640.2012.00463.x},
        url = {http://dx.doi.org/10.1111/j.1467-8640.2012.00463.x},
        attachments = {http://mmi.tudelft.nl/sites/default/files/genius_0.pdf},
        author = {Raz Lin and Sarit Kraus and Tim Baarslag and Dmytro Tykhonov and Koen V. Hindriks and Catholijn M. Jonker}
}

@article {MultilateralOffersProtocols,
        title = {Alternating Offers Protocols for Multilateral Negotiation},
        journal = {Modern Approaches to Agent-based Complex Automated Negotiation},
        year = {2014},
        publisher = {Springer},
        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.},
        issn = {978-3-319-30307-9},
        author = {Reyhan Aydogan and David Festen and Koen V. Hindriks and Catholijn M. Jonker}
}

@incollection{MultiMediatedNegoProtocolsWithFeedback,
  author       = {Reyhan Aydogan and Koen V. Hindriks and Catholijn M. Jonker}, 
  title        = {Multilateral Mediated Negotiation Protocols with Feedback},
  editor      = "I. Marsa-Maestre and M. A. Lopez-Carmona and T.  Ito and M. Zhang and  Q. Bai and K. Fujita",
  booktitle   = "Novel Insights in Agent based Complex Automated Negotiation, Chapter: Multilateral Mediated Negotiation Protocols with Feedback",
  publisher   = "Springer",
  year        = 2014,
  pages        = {43-59},
  chapter     = 3,
}