Using and Evaluating Adaptive Agents for Electronic Commerce Negotiation
IBERAMIA-SBIA '00 Proceedings of the International Joint Conference, 7th Ibero-American Conference on AI: Advances in Artificial Intelligence
Optimal Negotiation Strategies for Agents with Incomplete Information
ATAL '01 Revised Papers from the 8th International Workshop on Intelligent Agents VIII
Determining Successful Negotiation Strategies: An Evolutionary Approach
ICMAS '98 Proceedings of the 3rd International Conference on Multi Agent Systems
On possibilistic case-based reasoning for selecting partners in multi-agent negotiation
AI'04 Proceedings of the 17th Australian joint conference on Advances in Artificial Intelligence
Predicting partner's behaviour in agent negotiation
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Adaptive Negotiation with On-Line Prediction of Opponent Behaviour in Agent-Based Negotiations
IAT '06 Proceedings of the IEEE/WIC/ACM international conference on Intelligent Agent Technology
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The paper proposes new approach for modelling negotiation partners and predictive decision-making. It is based on the prediction of negotiation partners behaviour from its previous offers in the current encounter. The approach allows the negotiating agent to asses different factors influencing other agent’s behaviour during negotiation and make optimal decisions according to the prediction. It is tested in simple scenario and the results illustrating the comparison with random strategy selection are presented.