[1]章成飞,程泽凯,秦锋.基于多智能体协同的角色互换策略的研究应用[J].计算机技术与发展,2013,(09):151-154.
　ZHANG Cheng-fei,CHENG Ze-kai,QIN Feng.Research Application Based on Strategy of Multi-Agent Cooperative Role Exchange[J].,2013,(09):151-154.
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基于多智能体协同的角色互换策略的研究应用()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2013年09期
页码:
151-154
栏目:
应用开发研究
出版日期:
1900-01-01

文章信息/Info

Title:
Research Application Based on Strategy of Multi-Agent Cooperative Role Exchange
文章编号:
1673-629X（2013）09-0151-04
作者:
章成飞; 程泽凯; 秦锋
安徽工业大学 计算机学院
Author(s):
ZHANG Cheng-fei; CHENG Ze-kai; QIN Feng
关键词:
多Agent; 在线教练; 动态角色互换; 对手角色识别; 多智能体协同
Keywords:
Multi-Agent; online coach; dynamic role exchange; opponent roles identification; Multi-Agent cooperation
文献标志码:
A
摘要:
多智能体协同技术是人工智能领域的一个重要分支。机器人足球比赛为多智能体协同技术的研究提供了一个测试平台，仿真机器人足球比赛球员Agent具有号码属性与角色属性。文中以仿真机器人足球比赛中的球员Agent为研究对象，利用在线教练机制对球员Agent进行建模，提出了对手角色识别策略以及基于多智能体协同的球员Agent动态角色互换策略。在Agent2D底层中编程实现，与某球队进行测试，胜率大大增加，结果表明了该算法的有效性，该算法可提高球队的进攻能力
Abstract:
Multi-Agent cooperative technology is an important branch in the field of Artificial Intelligence ( AI) . Robot football race pro-vides a test platform for the study of Multi-Agent cooperative technology. The football player named Agent in the robot simulation foot-ball race has both number attribute and role attribute. It makes Agent in the robot simulation football race as the research subject. Model for Agent with online coach mechanism and put forward the tactics to identify the counterparts as well as the strategy of football players'dynamic role exchange. In the underlying 2D of Agent,programming comes into effect. When one robot simulation football team tests with the other one,the winning probability is going to be raised by a big margin,which demonstrates the efficiency of this algorithm. And the algorithm can also improve attack ability of the football team

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更新日期/Last Update: 1900-01-01