Using recommendation to improve negotiations in agent-based systems

Authors:
Mateusz Lenar;Janusz Sobecki
Affiliations:
Institute of Applied Informatics, Wroclaw University of Technology, Wroclaw, Poland;Institute of Applied Informatics, Wroclaw University of Technology, Wroclaw, Poland
Venue:
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part II
Year:
2005

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Abstract

In this paper we deal with the problem of non-intuitive and low-efficient negotiations between agents in agent based system. We find recommendation techniques as a suitable method of making negotiation smarter and more efficient. We have introduced into the negotiation thread the following improvements: content-based recommendation and collaborative one. These two types of recommendation are discussed. On the base of a negotiation algorithm we have studied how introduced recommendation methods can improve the whole process of finding mutually acceptable agreements among agents.