Multistage Fuzzy Decision Making in Bilateral Negotiation with Finite Termination Times

Authors:
Jan Richter;Ryszard Kowalczyk;Matthias Klusch
Affiliations:
Centre for Complex Software Systems and Services, Swinburne University of Technology, Melbourne, Australia;Centre for Complex Software Systems and Services, Swinburne University of Technology, Melbourne, Australia;German Research Center for Artificial Intelligence, Saarbruecken, Germany
Venue:
AI '09 Proceedings of the 22nd Australasian Joint Conference on Advances in Artificial Intelligence
Year:
2009

Citing 6
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Abstract

In this paper we model the negotiation process as a multistage fuzzy decision problem where the agents preferences are represented by a fuzzy goal and fuzzy constraints. The opponent is represented by a fuzzy Markov decision process in the form of offer-response patterns which enables utilization of limited and uncertain information, e.g. the characteristics of the concession behaviour. We show that we can obtain adaptive negotiation strategies by only using the negotiation threads of two past cases to create and update the fuzzy transition matrix. The experimental evaluation demonstrates that our approach is adaptive towards different negotiation behaviours and that the fuzzy representation of the preferences and the transition matrix allows for application in many scenarios where the available information, preferences and constraints are soft or imprecise.