| 多智能体系统分散式通信决策研究 |
| |
| 引用本文： | 郑延斌,郭凌云,刘晶晶. 多智能体系统分散式通信决策研究[J]. 计算机应用, 2012, 32(10): 2875-2878. DOI: 10.3724/SP.J.1087.2012.02875 |
| |
| 作者姓名： | 郑延斌 郭凌云 刘晶晶 |
| |
| 作者单位： | 1. 河南师范大学 计算机与信息技术学院，河南 新乡4530072. 河南师范大学 计算机与信息技术学院,河南 新乡 453007 |
| |
| 基金项目： | 河南省重点科技攻关项目(102102210176;122102210086) |
| |
| 摘 要： | 通信是多智能体系统(MAS)之间协调与协作的最有效和最直接的方法,然而通信的代价却限制了该方法的使用。为了减少MAS协调过程中的通信量,提出一种启发式算法,使Agent仅选择能够改善团队期望回报的观察信息进行通信。实验结果证明,对通信信息的选择能够高效的利用通信带宽,有助于提高系统的性能。
|
| 关 键 词： | 多智能体系统 协作 分散式通信 马尔可夫决策过程 部分可观察马尔可夫决策过程 |
| 收稿时间： | 2012-04-27 |
| 修稿时间： | 2012-05-28 |
Research on decentralized communication decision in multi-Agent system |
| |
| ZHENG Yan-bin,GUO Ling-yun,LIU Jing-jing. Research on decentralized communication decision in multi-Agent system[J]. Journal of Computer Applications, 2012, 32(10): 2875-2878. DOI: 10.3724/SP.J.1087.2012.02875 |
| |
| Authors: | ZHENG Yan-bin GUO Ling-yun LIU Jing-jing |
| |
| Affiliation: | College of Computer and Information Technology, Henan Normal University, Xinxiang Henan 453007, China |
| |
| Abstract: | Communication is the most effective and direct method of coordinating and cooperating among multi-Agents,but the cost of communication restricts the use of this method.In order to reduce traffic subject in the coordination of Multi-Agent System(MAS),this paper put forward a heuristic algorithm,which would make Agents choose the observation that is beneficial to team performance to communicate.The experimental results show that choosing beneficial observation to communicate could ensure the efficiency of limited communication bandwidth and improve system performance. |
| |
| Keywords: | Multi-Agent System(MAS) cooperation decentralized communication Markov Decision Process(MDP) Partially Observable Markov Decision Process(POMDP) |
| 本文献已被 CNKI 等数据库收录！ |
| 点击此处可从《计算机应用》浏览原始摘要信息 |
|
点击此处可从《计算机应用》下载全文 |
