Abstract In this paper, a Game system with two players is given. Each Player is an agent, and the input of one player is the output of another. The behavior of each player is described by the neural networks so as to make it like that of the humans as much as possible. It is adjusted with the change of neural network weights according to its cost function. Furthermore, 15 kinds of expert decision based on the psychology decision behavior of human being are used in the game system as a decision mechanism for the first time. Some simulations are carried out by using examples from reference [10]. The results indicate the validity of the proposed method which is based on neural networks and the psychology decision behavior of human being.
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2007, Vol. 20 
