Opponent modelling in automated multi-issue negotiation using bayesian learning

Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS

Volumn 1, Issue , 2008, Pages 326-333

  Hindriks, Koen ^a   Tykhonov, Dmytro ^a  

^a DELFT UNIVERSITY OF TECHNOLOGY   (Netherlands)

Author keywords

Automated multi issue negotiation; Bayesian learning; Opponent modelling; Preference profiles

Indexed keywords

APPROXIMATION ALGORITHMS; AUTONOMOUS AGENTS; MULTI AGENT SYSTEMS; TOPOLOGY;

BAYESIAN LEARNING; BIDDING PROCESS; GENERIC FRAMEWORKS; MULTI-ISSUE NEGOTIATION; OPPONENT MODELING; PREFERENCE PROFILES; PREFERENCE STRUCTURES;

AUTOMATION;

EID: 84899976148     PISSN: 15488403     EISSN: 15582914     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (14)

1. Bosse, T., and Jonker, CM. 2005. Human vs Computer Behaviour in Multi-Issue Negotiation, Proc. of the 1st Int. Workshop on Rational, Robust, and Secure Negotiations in Multi-Agent Systems (RSS'05), pp.11-24.
2. Coehoorn, R.M., Jennings N.R. 2004. Learning an Opponent's Preferences to Make Effective Multi-Issue Negotiation Trade-Offs, In Proc. of 6th International Conference on E-Commerce, pp. 59-68.
3. Hindriks, K., Jonker, C. M., Tykhonov, D. 2007. Analysis of Negotiation Dynamics, In: Proc. of 11th Int. Workshop CIA 2007 on Cooperative Information Agents, Delft, The Netherlands, Springer-Verlag, Lecture Notes in AI, vol.4676.
4. Faratin, P., Sierra, C, and Jennings, N. R. 1998. Negotiation Decision Functions for Autonomous Agents, in: Int. Journal of Robotics and Autonomous Systems, 24 (3-4) 159-182.
5. Faratin, P., Sierra, C, and Jennings, N. R. 2003. Using Similarity Criteria to Make Negotiation Trade-Offs, Journal of Artificial Intelligence, 142 (2), pp. 205-237.
6. Jonker, C, Robu, V., Treur, J. An Agent Architecture for Multi-Attribute Negotiation Using Incomplete Preference Information, In: Journal of Autonomous Agents and Multi-Agent Systems (JAAMAS), Springer-Verlag (in press, 2006)
7. Lin R., Kraus, S., Wilkenfeld, J., Barry, J. 2006. An Automated Agent for Bilateral Negotiation with Bounded Rational Agents with Incomplete Information. ECAI 2006, pp. 270-274.
8. Narayanan, V., Jennings, N.R. 2006. Learning to Negotiate Optimally in Non-stationary Environments, CIA 2006, LNAI 4149, pp. 288-300.
9. Niimura, T., Ozawa, K., Hirano, O., 2001. Fuzzy Set-based Decision Support System for Transactions of Electricity in A Deregulated Environment, IFSA World Congress, pp. 87-92.
10. Osborne, M. J. and Rubinstein, A. 1994, A Course in Game Theory, The MIT Press.
11. Raiffa, H. 1982. The Art and Science of Negotiation, Harvard University Press.
12. Rosenschein, J.S., and Zlotkin, G.1994. Rules of Encounter: Designing Conventions for Automated Negotiation Among Computers. MIT Press.
13. Zeng, D., and Sycara, K. 1998. Bayesian Learning in Negotiation, International Journal of Human Computer Systems, vol. 48, pp. 125-141.
14. Zeng, D., and Sycara, K. 1997. Benefits of Learning in Negotiation, in Proc. of the Fourteenth National Conference on Artificial Intelligence (AAAI-97), Providence, RI.