Neural network approach to N-person games

Neural network approach to N-person games

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 s...

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Bibliographische Detailangaben
1. Verfasser: Seredynski, F.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Multiprocessing systems
Neural networks
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Beschreibung
Zusammenfassung: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.< >
DOI:10.1109/CDC.1992.371151