Symbiotic evolutional models in multiagent systems

Toru Eguchi, Kotaro Hirasawa, Jinglu Hu

Research output: Contribution to conferencePaperpeer-review

3 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages739-746
Number of pages8
DOIs
Publication statusPublished - 2003 Jan 1
Event2003 Congress on Evolutionary Computation, CEC 2003 - Canberra, ACT, Australia
Duration: 2003 Dec 82003 Dec 12

Conference

Conference2003 Congress on Evolutionary Computation, CEC 2003
CountryAustralia
CityCanberra, ACT
Period03/12/803/12/12

ASJC Scopus subject areas

  • Computational Mathematics

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