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Negotiation and cooperation in multi-agent environments
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Learning other agents' preferences in multiagent negotiation
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
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In Multi-Agent Systems, agents negotiate between them for coordination and collaboration, but their preferences and the autonomous behaviour of each participant agent can lead the negotiation through several steps before they find a common agreement. As every agent in a negotiation isn't aware about the other's preferences or about their decision making process, the negotiation workflow needs to go through an intense communication process that not always ends with the most desirable agreement between them. In this paper we propose a recommender system that suggests the best moment to end a negotiation. The recommendation is made from a trust evaluation of every agent in the negotiation based on their past negotiation experiences. For this, we introduce the Trust Aware Negotiation Dissolution algorithm.