Abstract
This paper presents a negotiation agent that applies Case-Based Reasoning (CBR) techniques to capture and re-use previously successful negotiation experiences in the multi-agent negotiation context. This negotiation agent provides adaptive negotiation strategies that can be generated dynamically and are context-sensitive. We demonstrate this negotiation agent in the context of usedcar trading and a web-based application of negotiation agent for used car trading is developed. Relevant issues are discussed, including formulation of negotiation episodes, negotiation experience representation, negotiation experience matching/selection and previous negotiation experience adaptation/reuse.
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Reference
Bertsekas, D.P., Dynamic Programming and Optimal Contral. Athena Scientific, Belmont, MA 1995.
Bui, V. Intelligent trading agents. CSIRO CMIS Internal report, 1999.
Cyert, R.M. and DeGroot, M.H., Bayesian Analysis and Uncertainty in Economic Theory, Rowman & Littlefield, New York, 1987.
Guttman R., Moukas A. and Maes P. Agent-mediated Electronic Commerce: A survey. In Knowledge Engineering review, June 1998.
Kasbah (http://asbah.media.mit.edu)
Kolodner, J, Case-Based Reasoning. Morgan Kaufmann Publishers (1993).
Kowalczyk, R. and Bui, V. “Towards Intelligent Trading Agents”, the 1999 International Conference on Intelligent Systems and Active DSS, Turku, Finland
Maes, P., Guttman, R.H., and Moukas, A.G. Agents that buy and sell”. Communications of The ACM. Vol. 42.No.3 (1999) pp. 81–91.
Maher, M.L., Balachandran, M.B. and Zhang, D.M. Case-Based Reasoning in Design, Lawrence Erlbaum: New Jersey. (1995)
Nwana H., Rosenschein J., Sandholm T., Sierra C., Maes P. and Guttmann R. Agent-Mediated Electronic commerce: Issues, Challenges and some Viewpoints. 2rd International Conference on Autonomous Agents. Minneapolis, May 1998.
Raiffa H. The art and Science of negotiation. Harvard Univ. Press (1982).
Rosenschein J. and Zlotkin G. Rules of Encounter: Designing Conventions for Automated Negotiation among Computers. MIT Press, 1994.
Siriwan, A and Sadananda R. An agent-mediated Negotiation Model in Electronic Commerce, The Australian Workshop on AI in Electronic Commerce, The Australian Joint Conference on Artificial Intelligence. 1999.
Sycara, K., Utility theory in conflict resolution. Annals of OR, Vol. 12 (1988) pp. 65–84.
Sycara, K Machine learning for intelligent support of conflict resolution, Decision Support systems, Vol. 10 (1993) pp. 121–136.
Tete-a-Tete (http://ecommerce.media.mit.edu/tete-a-tete/)
Wong, W., Zhang, D.M. and Kara-Ali, M. Towards an experience based negotiation agent. Accepted by the Fourth International workshop on Cooperative Informtaion Agents (CIA 2000), Boston, USA.
Zeng, D and Sycara, K. Bayesian Learning in Negotiation, Int. J. Human-Computer Studies 48, pp 125–141, 1998.
Zhang, D.M., Wong, W. and Kowalczyk, R. Reusing previous negotiation experiences in multi-agent negotiation, Proceedings of WAEC“99. pp 79–87. HongKong. 1999.
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Zhang, D.M., Wong, W.Y. (2001). A Web-Based Negotiation Agent Using CBR. In: Kowalczyk, R., Loke, S.W., Reed, N.E., Williams, G.J. (eds) Advances in Artificial Intelligence. PRICAI 2000 Workshop Reader. PRICAI 2000. Lecture Notes in Computer Science(), vol 2112. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45408-X_19
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DOI: https://doi.org/10.1007/3-540-45408-X_19
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