DocumentCode
412601
Title
Symbiotic evolutional models in multiagent systems
Author
Eguchi, Toru ; Hirasawa, Kotaro ; Hu, Jinglu
Author_Institution
Graduate Sch. of Inf., Production & Syst., Waseda Univ., Fukuoka, Japan
Volume
2
fYear
2003
fDate
8-12 Dec. 2003
Firstpage
739
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.
Keywords
genetic algorithms; learning (artificial intelligence); multi-agent systems; MAS; evolutionary computation; genetic network programming; multiagent systems; symbiotic evolution model; symbiotic learning; tile-world model; Artificial intelligence; Computational modeling; Distributed control; Economic indicators; Evolutionary computation; Genetic programming; Multiagent systems; Production systems; Proposals; Symbiosis;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation, 2003. CEC '03. The 2003 Congress on
Print_ISBN
0-7803-7804-0
Type
conf
DOI
10.1109/CEC.2003.1299741
Filename
1299741
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