分類子システムを用いたエージェントベース共進化のモデル化

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概要

• 論文の詳細を見る

• 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.

• 一般社団法人電子情報通信学会の論文
• 2002-01-02

著者

• Etani Noriko

  Faculty Of Science And Engineering Ritsumeikan University

• 江谷 典子

  Faculty of Science and Engineering, Ritsumeikan University

関連論文

• 分類子システムを用いたエージェントベース共進化のモデル化

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