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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Paper Information
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