Multi Agent Systems with Symbiotic Learning and Evolution using GNP

Eguchi Toru, Takayuki Furuzuki, Murata Junichi, Hirasawa Kotaro

研究成果: Article

3 引用 (Scopus)

抄録

Recently, various attempts relevant to Multi Agent Systems (MAS) which is one of the most promising systems based on Distributed Artificial Intelligence have been studied to control large and complicated systems efficiently. In these trends of MAS, Multi Agent Systems with Symbiotic Learning and Evolution named Masbiole has been proposed. In Masbiole, symbiotic phenomena among creatures are considered in the process of learning and evolution of MAS. So we can expect more flexible and sophisticated solutions than conventional MAS. In this paper, we apply Masbiole to Iterative Prisoner's Dilemma Games (IPD Games) using Genetic Network Programming (GNP) which is a newly developed evolutionary computation method for constituting agents. Some characteristics of Masbiole using GNP in IPD Games are clarified.

元の言語English
ページ(範囲)517-526
ページ数10
ジャーナルIEEJ Transactions on Electronics, Information and Systems
123
発行部数3
DOI
出版物ステータスPublished - 2003
外部発表Yes

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Multi agent systems
Evolutionary algorithms
Artificial intelligence

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

これを引用

Multi Agent Systems with Symbiotic Learning and Evolution using GNP. / Toru, Eguchi; Furuzuki, Takayuki; Junichi, Murata; Kotaro, Hirasawa.

:: IEEJ Transactions on Electronics, Information and Systems, 巻 123, 番号 3, 2003, p. 517-526.

研究成果: Article

Toru, Eguchi ; Furuzuki, Takayuki ; Junichi, Murata ; Kotaro, Hirasawa. / Multi Agent Systems with Symbiotic Learning and Evolution using GNP. :: IEEJ Transactions on Electronics, Information and Systems. 2003 ; 巻 123, 番号 3. pp. 517-526.
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