Symbiotic evolutional models in multiagent systems

Toru Eguchi, Kotaro Hirasawa, Jinglu Hu

研究成果: Paper査読

3 被引用数 (Scopus)

抄録

Multiagent systems with symbiotic learning and evolution (Masbiole) has been proposed as a new learning and evolutionary method for multiagent systems (MAS) recently, which is based on symbiotic phenomena among creatures. A symbiotic evolutional model of Masbiole is proposed using genetic network programming (GNP), which has been also proposed as one of the evolutionary computations. In the simulations, the proposal Masbiole is applied to the tile-world model and various characteristics of Masbiole have been clarified.

本文言語English
ページ739-746
ページ数8
DOI
出版ステータスPublished - 2003 1月 1
イベント2003 Congress on Evolutionary Computation, CEC 2003 - Canberra, ACT, Australia
継続期間: 2003 12月 82003 12月 12

Conference

Conference2003 Congress on Evolutionary Computation, CEC 2003
国/地域Australia
CityCanberra, ACT
Period03/12/803/12/12

ASJC Scopus subject areas

  • 計算数学

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