Title :
Neural network approach to N-person games
Author :
Seredynski, Franciszek
Author_Institution :
Inst. of Comput. Sci., Polish Acad. of Sci., Warsaw, Poland
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;
Conference_Titel :
Decision and Control, 1992., Proceedings of the 31st IEEE Conference on
Conference_Location :
Tucson, AZ
Print_ISBN :
0-7803-0872-7
DOI :
10.1109/CDC.1992.371151
