Title :
Successive adaptation of fuzzy rule-based systems in a multi-agent model
Author :
Ishibuchi, Hisao ; Seguchi, Teppei
Author_Institution :
Dept. of Ind. Eng., Osaka Prefecture Univ., Japan
fDate :
6/24/1905 12:00:00 AM
Abstract :
This paper examines the adaptability of fuzzy systems to gradual and sudden changes in the environment of a market selection game. Agents use fuzzy systems for iterative game playing. Training data are successively generated from each round of our game as a result of the market selection by fuzzy systems
Keywords :
fuzzy logic; knowledge based systems; multi-agent systems; neural nets; fuzzy rule-based systems; fuzzy systems; market selection game; multi-agent model; successive adaptation; Costs; Decision making; Function approximation; Fuzzy systems; Game theory; Industrial engineering; Knowledge based systems; Pattern classification; Training data; Transportation;
Conference_Titel :
Fuzzy Systems, 2002. FUZZ-IEEE'02. Proceedings of the 2002 IEEE International Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-7280-8
DOI :
10.1109/FUZZ.2002.1006642
