Game Analysis of the Evolution of Artificial Stock Market

In this paper, we build the participators´ logistic model of the game model in artificial stock market. The participators are three types: flexible agent, semi-flexible agent and rigidity agent. Then, we set up the game model in artificial stock market. And discuss the selection operator of agents, optimization model of the agent behavior and speed of optimization model of the agent. We find that that it is the differences in fitness that leading to the emergence of optimal behavior of agents in artificial stock market. And, the value of, decides the convergence speed of optimal strategy of agents in artificial stock market., And we get the reason which leads to the wandering of the agent behavior and the unpredictability and complexity of the whole behaviors in artificial stock market.