= Literature Survey: Opponent Models = == Papers == ||'''Title'''||Anticipating Agent's Negotiation Strategies in an E-marketplace Using Belief Models|| ||'''Author(s)'''||F. Teuteberg, K. Kurbel|| ||'''Subject(s)'''|||| ||'''Summary'''|||| ||'''Relevance'''|||| ||'''Bibtex'''||[http://scholar.google.nl/scholar.bib?q=info:qauKvN1Swx8J:scholar.google.com/&output=citation&hl=nl&as_sdt=0,5&ct=citation&cd=0 Link]|| [[BR]] ||'''Title'''||Benefits of Learning in Negotiation|| ||'''Author(s)'''||D. Zeng, K. Sycara|| ||'''Subject(s)'''||Benefits of learning, Bayesian learning, reservation values|| ||'''Summary'''|| Growing interest in e-commerce motivates research in automated negotiation. Building intelligent negotiation agents is still[[br]] emerging. In contrast to most negotiation models, sequential decision model allows for learning. Learning can help understand[[br]] human behaviour, but can also result in better results for the learning party. Bayesian learning of reservation[[br]] values can be used to determine the zone of agreement for an issue based on the domain knowledge and bidding interactions.[[br]] Concluding for one-issue, learning positively influences bargaining quality, number of exchanged proposals,[[br]] and leads to a better compromise if both learn. Learning works always works better in the proposed case.|| ||'''Relevance'''||8|| ||'''Bibtex'''||[http://scholar.google.nl/scholar.bib?q=info:omTF-8TbGE4J:scholar.google.com/&output=citation&hl=nl&as_sdt=0,5&ct=citation&cd=0 Link]|| [[BR]] ||'''Title'''||Learning an Opponent's Preferences to Make Effective Multi-Issue Negotiation Trade-Offs|| ||'''Author(s)'''||R.M. Coehoorn, N.R. Jennings|| ||'''Subject(s)'''||KDE Learning, Negotiation model, Concession based strategy|| ||'''Summary'''|| || ||'''Relevance'''|| || ||'''Bibtex'''||[http://scholar.google.nl/scholar.bib?q=info:Z79P04-IRS0J:scholar.google.com/&output=citation&hl=nl&as_sdt=0,5&ct=citation&cd=0 Link]|| [[BR]] ||'''Title'''||Opponent Modelling in Automated Multi-Issue Negotiation Using Bayesian Learning|| ||'''Author(s)'''||K. Hindriks, D. Tykhonov|| ||'''Subject(s)'''|||| ||'''Summary'''|||| ||'''Relevance'''|||| ||'''Bibtex'''||[http://scholar.google.nl/scholar.bib?q=info:BtssqMir4RcJ:scholar.google.com/&output=citation&hl=nl&as_sdt=0,5&ct=citation&cd=0 Link]|| [[BR]] ||'''Title'''||The First Automated Negotiating Agents Competition (ANAC 2010)|| ||'''Author(s)'''||T. Baarslag, K. Hindriks, C. Jonker, S. Kraus, R. Lin|| ||'''Subject(s)'''|||| ||'''Summary'''|||| ||'''Relevance'''|||| ||'''Bibtex'''||[http://scholar.google.nl/scholar.bib?q=info:vKSG_Lm38D0J:scholar.google.com/&output=citation&hl=nl&as_sdt=0,5&ct=citation&cd=3 Link]|| [[BR]] == Meetings == == Planning ==