Cooperative co-evolution of multi-agents

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we propose a method to obtain strategy coalitions, whose confidences are adjusted by genetic algorithm to improve the generalization ability, in the process of co-evolutionary learning with a social game called Iterated Prisoner’s Dilemma (IPD) game. Experimental results show that several better strategies can be obtained through strategy coalition, and evolutionary optimization of the confidence for strategies within coalition improves the generalization ability.

Original languageEnglish
Title of host publicationNew Frontiers in Artificial Intelligence - Joint JSAI 2001 Workshop Post-Proceedings
EditorsTakao Terano, Yukio Ohsawa, Toyoaki Nishida, Akira Namatame, Syusaku Tsumoto, Takashi Washio
PublisherSpringer Verlag
Pages185-194
Number of pages10
ISBN (Print)9783540455486
DOIs
Publication statusPublished - 2001
Event15th International Workshop on Japanese Society for Artificial Intelligence, JSAI 2001 - Matsue City, Japan
Duration: 2001 May 202001 May 25

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2253
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other15th International Workshop on Japanese Society for Artificial Intelligence, JSAI 2001
CountryJapan
CityMatsue City
Period01/5/2001/5/25

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Cho, S. B. (2001). Cooperative co-evolution of multi-agents. In T. Terano, Y. Ohsawa, T. Nishida, A. Namatame, S. Tsumoto, & T. Washio (Eds.), New Frontiers in Artificial Intelligence - Joint JSAI 2001 Workshop Post-Proceedings (pp. 185-194). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2253). Springer Verlag. https://doi.org/10.1007/3-540-45548-5_21