Research on Cooperative Strategies of Soccer Robots Based on Artificial Immune System

For one agent, the proper selection of its own actions or strategies is one key to the multi-agent system. A new method is presented to select actions cooperatively for soccer robots, which is regarded as a benchmark of multi-agent system. The perfect character of artificial immune system is made full use to improve the strategy of the soccer robot, dealing with information of the environment as antigen, certain action as antibody. Like biological immune system, the robot selects action (antibody) according to its own surroundings (antigen) to make robots complete their mission properly and cooperatively. Experiment results indicate the feasibility and effectiveness of the method.