Evolution of intelligent agent in auction market

被引：0

作者：

Kuo, JY ^{[1
]}

Lee, J ^{[1
]}

机构：

[1] Fu Jen Catholic Univ, Dept Comp Sci & Informat Engn, Taipei 242, Taiwan

来源：

2004 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-3, PROCEEDINGS | 2004年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents a fuzzy mental model to address evolution of intelligent agents in virtual market. Agent fitness and fuzzy multi-criteria decision-making are proposed as evolution mechanisms. and fuzzy soft goals are introduced to facilitate the evolution process. Genetic programming operators are employed to restructure agents in the proposed multi-agent evolution cycle. We conduct a series of experiments to determine the most successful strategies and to see bow and when these strategies evolve based on the context and the bidding stance of the agent's opponent.

引用

页码：331 / 336

页数：6

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