The Behavior Coding of Artificial Life Body Based on Dynamic Potential Field Approach

Through the analysis of traditional potential field approach, and based on the bionics and schema theory, we create a behavior selection classification model of artificial life body (ALB) based on the evaluation-tradeoff, then we study on the behavior coding based on the dynamic potential filed. Therefore, the optimum behavior selection problem in live environment is solved. Simulation results indicate that put the potential field dynamically in the model, not only enables the ALB to select action according to the outside and inside environment information, and exhibits higher intelligence, but also makes the ALB to imitate the nature life behavior realistically in the unknown environment