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JACIII Vol.14 No.2 pp. 215-223
doi: 10.20965/jaciii.2010.p0215
(2010)

Paper:

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An Evolutionary Negotiation Model Using Genetic Network Programming

Md. Tofazzal Hossain, Shingo Mabu, and Kotaro Hirasawa

Graduate school of Information, Production, and Systems, Waseda University, 2-7 Hibikino, Wakamatsu-ku, Kitakyushu, Fukuoka 808-0135, Japan

Received:
July 18, 2009
Accepted:
November 17, 2009
Published:
March 20, 2010
Creative Commons License
Keywords:
genetic network programming, multi agent, negotiation protocol, co-evolution, E-commerce
Abstract
In a common two-party price negotiation, the buyer and the seller try to maximize inherently conflicting objectives regarding the price of a product. Generating an intelligent solution for both the buyer and the seller is often difficult, time-consuming and inefficient under such conditions. In this work, we therefore devise an intelligent solution for such complex situations in Business-to-Business E-business activities. The main contribution of this paper is the design of an intelligent decision support mechanism for an intelligent and automated negotiation solution based on a newly developed evolutionary computing technique called Genetic Network Programming (GNP). In addition, we devise a new Negotiation Protocol aiming to develop a set of rules for agents’ behavior during the negotiation process. Moreover, to reach a negotiation solution, concession that is usually predetermined in the conventional system is needed. To the contrary, in this research, concession is determined automatically by evolution that makes our system intelligent, automated, and efficient. Extensive simulations are emphasized to study the characteristics and behaviors of agents obtained by evolution.
Cite this article as:
M. Hossain, S. Mabu, and K. Hirasawa, “An Evolutionary Negotiation Model Using Genetic Network Programming,” J. Adv. Comput. Intell. Intell. Inform., Vol.14 No.2, pp. 215-223, 2010.
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