多机器人对抗系统仿真中的对手建模

Opponent Modeling in Adversarial Multi-robot System Simulation

用贝叶斯网络来解决多机器人对抗系统的对手建模问题,建立了用于一类多机器人对抗系统对手规划识别的混合贝叶斯网络。将足球机器人赛场进行分区,使用贝叶斯网络来分析和判断对手的意图为将球踢向哪个分区,实现足球机器人系统的对抗目标。建立了基于对手建模的策略仿真系统,实验结果表明了该策略仿真系统的有效性。

Bayesian network theory was used to model opponent＇s plan in a multi-robot confi＇ontation system. A hybrid Bayesian network was constructed to identify the opponent＇s plan. Whole game field for soccer robots will be divided into some small areas and the Bayesian network analyzes and identifies to which area the opponent will kick the ball to implement final antagonism target of the soccer robot system. A strategy simulation system based on the opponent＇s plan modeling was constructed and experiment results show it efficient.