A pareto optimal model for automated multi-attribute negotiations

Authors:
Guoming Lai;Katia Sycara;Cuihong Li
Affiliations:
Carnegie Mellon University, Pittsburgh, PA;Carnegie Mellon University, Pittsburgh, PA;University of Connecticut, Storrs, CT
Venue:
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
Year:
2007

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Abstract

This paper presents an applicable model for complex multi-attribute negotiations between autonomous agents. The model adopts a novel protocol which decomposes the original n-dimensional negotiation space into a series of negotiation base lines and in each period agents negotiate locally based on a given base line. A belief based negotiation strategy and an offer enhancement process are proposed for agents to make base offer on the negotiation base line and search for Pareto optimal enhancements of the base offer. The model achieves asymptotic Pareto optimality.