Cooperative co-evolution of multi-agents

Sung Bae Cho

doi:10.1007/3-540-45548-5_21

Cooperative co-evolution of multi-agents

Sung Bae Cho

Department of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	New Frontiers in Artificial Intelligence - Joint JSAI 2001 Workshop Post-Proceedings
Editors	Takao Terano, Yukio Ohsawa, Toyoaki Nishida, Akira Namatame, Syusaku Tsumoto, Takashi Washio
Publisher	Springer Verlag
Pages	185-194
Number of pages	10
ISBN (Print)	9783540455486
DOIs	https://doi.org/10.1007/3-540-45548-5_21
Publication status	Published - 2001
Event	15th International Workshop on Japanese Society for Artificial Intelligence, JSAI 2001 - Matsue City, Japan Duration: 2001 May 20 → 2001 May 25

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	2253
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	15th International Workshop on Japanese Society for Artificial Intelligence, JSAI 2001
Country	Japan
City	Matsue City
Period	01/5/20 → 01/5/25

Bibliographical note

Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 2001.

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/3-540-45548-5_21

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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

Cho, Sung Bae. / Cooperative co-evolution of multi-agents. New Frontiers in Artificial Intelligence - Joint JSAI 2001 Workshop Post-Proceedings. editor / Takao Terano ; Yukio Ohsawa ; Toyoaki Nishida ; Akira Namatame ; Syusaku Tsumoto ; Takashi Washio. Springer Verlag, 2001. pp. 185-194 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Cooperative co-evolution of multi-agents",

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{\textquoteright}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.",

author = "Cho, {Sung Bae}",

note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2001.; 15th International Workshop on Japanese Society for Artificial Intelligence, JSAI 2001 ; Conference date: 20-05-2001 Through 25-05-2001",

year = "2001",

doi = "10.1007/3-540-45548-5_21",

language = "English",

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series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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editor = "Takao Terano and Yukio Ohsawa and Toyoaki Nishida and Akira Namatame and Syusaku Tsumoto and Takashi Washio",

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Cho, SB 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. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 2253, Springer Verlag, pp. 185-194, 15th International Workshop on Japanese Society for Artificial Intelligence, JSAI 2001, Matsue City, Japan, 01/5/20. https://doi.org/10.1007/3-540-45548-5_21

Cooperative co-evolution of multi-agents. / Cho, Sung Bae.

New Frontiers in Artificial Intelligence - Joint JSAI 2001 Workshop Post-Proceedings. ed. / Takao Terano; Yukio Ohsawa; Toyoaki Nishida; Akira Namatame; Syusaku Tsumoto; Takashi Washio. Springer Verlag, 2001. p. 185-194 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2253).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AB - 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.

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T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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BT - New Frontiers in Artificial Intelligence - Joint JSAI 2001 Workshop Post-Proceedings

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A2 - Nishida, Toyoaki

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

Cooperative co-evolution of multi-agents

Abstract

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Bibliographical note

All Science Journal Classification (ASJC) codes

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