Changes between Version 5 and Version 6 of OpponentModels

Timestamp:

04/17/11 12:24:37 (14 years ago)

Author:

mark

Comment:

--

OpponentModels

@@ -14 +14 @@
 ||'''Author(s)'''||D. Zeng, K. Sycara||
 ||'''Subject(s)'''||Benefits of learning, Bayesian learning, reservation values||
-||'''Summary'''||||
+||'''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]||