= 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]||
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||'''Title'''||Benefits of Learning in Negotiation||
||'''Author(s)'''||D. Zeng, K. Sycara||
||'''Subject(s)'''||Benefits of learning, Bayesian learning, reservation values||
||'''Summary'''||||
||'''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]||
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||'''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]||
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||'''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]||
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||'''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]||
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== Meetings ==


== Planning ==