DocumentCode
2406070
Title
Neural network approach to N -person games
Author
Seredynski, Franciszek
Author_Institution
Inst. of Comput. Sci., Polish Acad. of Sci., Warsaw, Poland
fYear
1992
fDate
1992
Firstpage
1647
Abstract
Heterogeneous N -person games with limited interaction are considered. A global behavior of players in the game is observed. The average total payoff received by the team of players is chosen as a criterion of the global behavior. The game is implemented by a neural network. The model is applied to solve an optimal task assignment problem in a multiprocessor system
Keywords
game theory; multiprocessing systems; multiprocessor interconnection networks; neural nets; N-person games; average total payoff; global behavior; limited interaction; multiprocessor system; neural network; optimal task assignment problem; Computer science; Cooling; Cost function; Distributed control; Game theory; Learning automata; Multiprocessing systems; Neural networks; Temperature control;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 1992., Proceedings of the 31st IEEE Conference on
Conference_Location
Tucson, AZ
Print_ISBN
0-7803-0872-7
Type
conf
DOI
10.1109/CDC.1992.371151
Filename
371151
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