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
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;
Conference_Titel :
Evolutionary Computation, 2003. CEC '03. The 2003 Congress on
Print_ISBN :
0-7803-7804-0
DOI :
10.1109/CEC.2003.1299741
