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一种基于对手行为预测的多智能体合作研究

Research on Multi-agent Cooperation Based on Opponent's Action Forecast
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摘要 在动态对抗性环境下竞争的多智能体系统里,能够对对手行为进行及时而准确的预测,从而采取相应对策,是战胜对手的必要条件。本文提出了一种预测对手行为的新方法,并在此基础上实现了多智能体的合作。最后以RoboCup仿真比赛作为实验平台证明了该方法的可行性和有效性。 It is necessary to forecast the opponent's action effectively and exactly and then adopt corresponding strateges for MAS under dynamic environments to win in a competition. This paper brings forward a new method of opponent's action forecast and realizes the multi-agent cooperation using this method. Finally, it is proved that the method is feasible and effective in RoboCup simulating competition system.
出处 《计算机与现代化》 2006年第5期25-27,共3页 Computer and Modernization
关键词 AGENT ROBOCUP 行为预测 多智能体系统 Agent RoboCup action prediction multi-agent system
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