Presentation 2002/1/2
Modeling Agent-Based Coevolution with Learning Classifier System
Noriko ETANI,
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Abstract(in English) This paper approaches the model of the agent-based coevolution with learning classifier system (LCS) so that competitive or cooperative agents could achieve a better solution of a problem. The peculiarity of this approach is that it does not assume any knowledge on learning classifier system but try to develop any shared knowledge among agents with LCS. A case that two agents compete or cooperate to reach each opposite side with crossing and avoiding collision each other in a grid environment is discussed. Based on a formal framework to define a general purpose rule-based representation of LCS, the model of coevolution is analyzed and argued.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) agent-based coevolution / multi-agent, learning classifier system
Paper # 2001-AI-62
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Conference Information
Committee AI
Conference Date 2002/1/2(1days)
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Registration To Artificial Intelligence and Knowledge-Based Processing (AI)
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Modeling Agent-Based Coevolution with Learning Classifier System
Sub Title (in English)
Keyword(1) agent-based coevolution
Keyword(2) multi-agent, learning classifier system
1st Author's Name Noriko ETANI
1st Author's Affiliation Faculty of Science and Engineering, Ritsumeikan University()
Date 2002/1/2
Paper # 2001-AI-62
Volume (vol) vol.101
Number (no) 535
Page pp.pp.-
#Pages 5
Date of Issue