| 对抗性多智能体系统中的规划识别方案 |
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| 引用本文： | 王月海,洪炳镕.对抗性多智能体系统中的规划识别方案[J].哈尔滨工业大学学报,2004,36(7):862-863,883. |
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| 作者姓名： | 王月海 洪炳镕 |
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| 作者单位： | 北方工业大学,信息工程学院,北京,100041;哈尔滨工业大学,计算机科学与技术学院,黑龙江,哈尔滨,150001 |
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| 基金项目： | 北方工业大学科研基金资助项目. |
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| 摘 要： | 针对当前规划识别限于协作多智能体领域的问题，提出了一种适用于对抗环境下智能体的基于Bayesian网络模型的规划识别方案以识别其他智能体的动作目标．研究了机器人足球的几个典型规划，并利用机器人足球比赛仿真系统进行了测试，仿真结果表明该方案有效地增强了智能体间的协作，提高了球队的获胜率。
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| 关 键 词： | 规划识别 Bayesian网络模型 对抗性多智能体系统 机器人足球 |
| 文章编号： | 0367-6234(2004)04-0862-02 |
| 修稿时间： | 2004年4月18日 |
A plan recognition approach for agent in adversarial multi-agent system |
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| WANG Yue-hai,HONG Bing-rong.A plan recognition approach for agent in adversarial multi-agent system[J].Journal of Harbin Institute of Technology,2004,36(7):862-863,883. |
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| Authors: | WANG Yue-hai HONG Bing-rong |
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| Affiliation: | WANG Yue-hai~1,HONG Bing-rong~2 |
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| Abstract: | The existing plan recognition models are efficient only in collaborative field, so a plan recognition approach based on Bayesian belief network model is proposed to suit the adversarial multi-agent environment. Several typical rules of robotic soccer were studied and experiments were done by using the robot soccer simulation game. The simulation results show that the collaborations of the whole team and the ratio of winning game were both improved remarkably. |
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| Keywords: | plan recognition beyesian belief network adversarial multi-agent system robotic soccer |
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