Neural network approach to N-person games
Franciszek Seredyński · 2005
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.>