【作者】 王正光； 张奇志；

【Author】 Wang Zhengguang Zhang Qizhi Department of Computer and Automation ,Beijing Institute of Machinery 100085

【机构】 北京机械工业学院计算机及自动化系；

【摘要】 RobuCup环境下多主体之间的协作一直是极有挑战性的论题。本文针对RoboCup仿真环境的特点建立了主体之间的协作模型,并将模糊决策技术应用于主体的在线动作优化选择以及在线决策参数的优化调整过程,最后介绍了模糊推理系统的原理及设计实现。仿真实验表明该方法具有一定的有效性。更多还原

【Abstract】 In RoboCup, multi-agent cooperation is a challenge for AI. In this paper, we present a model of multi-agent cooperation in RoboCup environment, and realize on-line action selection and optimal parameters selection of strategy for agent with fuzzy decision. At last, the princple and design of fuzzy inference system is introduced. It is proved to be effective and collaborative between agents by experiment.更多还原