基于Markov对策的多智能体协调方法及其在Robot Soccer中的应用  

A Multi-agent Coordination Method Based on Markov Game and Application to Robot Soccer

作　　者：范波[1] 潘泉[1] 张洪才[1] 

机构地区：[1]西北工业大学自动控制系,陕西西安710072

出　　处：《机器人》2005年第1期46-51,共6页Robot

摘　　要：提出了一种分层的基于Markov对策的多智能体协调方法 ,根据多智能体之间的竞争和合作的关系 ,高层采用零和Markov对策解决与对手之间的竞争 ,低层采用团队Markov对策完成与团队内部的合作 .通过在RobotSoccer中的应用和实验 ,说明了基于Markov对策的多智能体协调方法优于传统的多智能体学习 .A layered multi-agent coordination method based on Markov games is presented. According to the relationship of competition and cooperation among the multiple agents, this method adopts the zero-sum Markov game in high layer to compete with the opponent and adopts the team Markov game in low layer to accomplish cooperation in the team. With the application and experiment in Robot Soccer, it is shown that this method is better than the traditional multi-agent learning method.

关 键 词：多智能体 MARKOV对策 零和Markov对策 团队Markov对策 ROBOT SOCCER 

分 类 号：TP24[自动化与计算机技术—检测技术与自动化装置]