An agent-based multi-issue negotiation model in e-commerce

Authors:
Xiao-Xuan Zhang;Supratip Ghose;Geun-Sik Jo
Affiliations:
Intelligent E-Commerce Systems Laboratory, School of Computer Science & Engineering, Inha University, Incheon, South Korea;Intelligent E-Commerce Systems Laboratory, School of Computer Science & Engineering, Inha University, Incheon, South Korea;School of Computer Science and Engineering, Inha University, Incheon, South Korea
Venue:
ICIC'06 Proceedings of the 2006 international conference on Intelligent computing: Part II
Year:
2006

Citing 2
Cited 0

A fuzzy constraint based model for bilateral, multi-issue negotiations in semi-competitive environments

Artificial Intelligence - Special issue: Fuzzy set and possibility theory-based methods in artificial intelligence
A software framework for automated negotiation

Software Engineering for Multi-Agent Systems III

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Abstract

Our paper proposes an agent-based automated negotiation model. The agents can perform an integrative negotiation with multi-issue in a one-to-many way. The negotiation protocol follows the offer-counteroffer principal, and an adapted mechanism of offer generation strategy. With the utility theory, agent could evaluate the offers and determine the following actions. In order to yield a top-quality deal and shorten the negotiation period, agents propose multiple offers, which consist of a particular combination of issue values and have the identical utility with the given utility. The experiment shows that the model ensures the participants could reach a mutually beneficial agreement in a short time.