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JACIII Vol.15 No.7 pp. 747-758
doi: 10.20965/jaciii.2011.p0747
(2011)

Paper:

Enhancing Bidding Strategy Using Genetic Network Programming in Agent-Based Multiple Round English Auction

Chuan Yue, 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:
February 14, 2011
Accepted:
April 25, 2011
Published:
September 20, 2011
Keywords:
genetic network programming, bidding strategy, agent-based multiple round English auction
Abstract

The agent-based auction mechanism widely used in web sites and originally designed for trading goods for customers might not be the most efficient one in the future, while there is a demand of automated auction agents, which are adaptable to the dynamic auction environments. To this end, this paper discusses how to apply Genetic Network Programming (GNP) to automated auction agents in order to make a bid efficiently and effectively at each time step according to the auction environments, and Multiple Round English Auction (MREA) mechanism studied in this paper is based on multi-agent systems, which aims to help the buyer to procure profitable deals as much as possible. GNPbased agent is compared with other agents using conventional strategies in MREA. It has been found from the simulations that the proposed method could help agents to evolve their strategies generation by generation, which shows that GNP has a good performance of helping the agent to find the suitable strategy under various situations and outperform than other strategies.

Cite this article as:
Chuan Yue, Shingo Mabu, and Kotaro Hirasawa, “Enhancing Bidding Strategy Using Genetic Network Programming in Agent-Based Multiple Round English Auction,” J. Adv. Comput. Intell. Intell. Inform., Vol.15, No.7, pp. 747-758, 2011.
Data files:
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