Symbiotic learning and evolution on social science

Noriko Ota; Kotaro Hirasawa; Jinglu Hu

Symbiotic learning and evolution on social science

Noriko Ota^*, Kotaro Hirasawa, Jinglu Hu

^*Corresponding author for this work

Graduate School of Information, Production and Systems

Research output: Contribution to conference › Paper › peer-review

Abstract

"Multi Agent Systems with Symbiotic Learning and Evolution (Masbiole)" is an evolutionary computation modeled after the symbiotic relations in the ecosystem. In this paper, the simulations of "Robber and Police Game" that is assumed a basic model of Social Science are carried out to validate its performance, where two teams named robber and police compete each other.

Original language	English
Pages	3649-3652
Number of pages	4
Publication status	Published - 2005 Dec 1
Event	SICE Annual Conference 2005 - Okayama, Japan Duration: 2005 Aug 8 → 2005 Aug 10

Conference

Conference	SICE Annual Conference 2005
Country/Territory	Japan
City	Okayama
Period	05/8/8 → 05/8/10

Keywords

Masbiole
Social Science
Symbiotic Evolution

ASJC Scopus subject areas

Control and Systems Engineering
Computer Science Applications
Electrical and Electronic Engineering

Cite this

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title = "Symbiotic learning and evolution on social science",

abstract = "{"}Multi Agent Systems with Symbiotic Learning and Evolution (Masbiole){"} is an evolutionary computation modeled after the symbiotic relations in the ecosystem. In this paper, the simulations of {"}Robber and Police Game{"} that is assumed a basic model of Social Science are carried out to validate its performance, where two teams named robber and police compete each other.",

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AU - Hirasawa, Kotaro

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N2 - "Multi Agent Systems with Symbiotic Learning and Evolution (Masbiole)" is an evolutionary computation modeled after the symbiotic relations in the ecosystem. In this paper, the simulations of "Robber and Police Game" that is assumed a basic model of Social Science are carried out to validate its performance, where two teams named robber and police compete each other.

AB - "Multi Agent Systems with Symbiotic Learning and Evolution (Masbiole)" is an evolutionary computation modeled after the symbiotic relations in the ecosystem. In this paper, the simulations of "Robber and Police Game" that is assumed a basic model of Social Science are carried out to validate its performance, where two teams named robber and police compete each other.

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KW - Social Science

KW - Symbiotic Evolution

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M3 - Paper

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Y2 - 8 August 2005 through 10 August 2005

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Symbiotic learning and evolution on social science

Abstract

Conference

Keywords

ASJC Scopus subject areas

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Cite this