Strategy Uniform Crossover Adaptation Evolution in a MinorityGame

We propose a new adaptation minority game for understanding of the complex dynamical behaviour characterized by agent interactions competing limited resource in many natural and social systems. Intelligent agents may modify a part of strategies held by them periodically, depending on the strategy performances. In the new model, the strategies will be updated according to uniform-crossover variation process inspired by genetic evolution algorithm in biology. The performances of the agents in the new model are calculated for different parameter conditions. It has been found that the new system may evolve via the strategy uniform crossover adaptation mechanism into a frozen equilibrium state in which the performance of the system may reach the best limit, implying the strongest cooperation among agents and the most effective utilization of the social resources.