An Improved Bayesian Learning Method for Multi-agent System

被引：1
|
作者：
Dai Sheng-Hui [1 ]
Zhu Xue-Qin [1 ]
Gui Ying [1 ]
Xu Hong-Zhen [1 ]
机构：
[1] E China Inst Technol, Dept Comp Sci & Technol, Shanghai 344000, Peoples R China
来源：
INTERNATIONAL JOURNAL OF ONLINE ENGINEERING | 2015年 / 11卷 / 09期
基金：
中国国家自然科学基金;
关键词：
Multi-agent system; Intelligent agent; Agent learning; Bayesian learning;
D O I：
10.3991/ijoe.v11i9.5071
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
A multi-agent coordinate ion is addressed in urban traffic control, which uses the recursive modeling method (RMM) that enables an agent to select its rational act ion by examining with other agents by modeling their decision making in a distributed multi-agent environment. Bayesian learning is used in conjunction with RMM for belief update. Based on this method, a multi-agent traffic control system is established and the results rated its effective.
引用
收藏
页码：82 / 88
页数：7
相关论文
共 50 条
  • [21] Learning to Share Meaning in a Multi-Agent System
    Andrew B. Williams
    [J]. Autonomous Agents and Multi-Agent Systems, 2004, 8 : 165 - 193
  • [22] Learning to share meaning in a multi-agent system
    Williams, AB
    [J]. AUTONOMOUS AGENTS AND MULTI-AGENT SYSTEMS, 2004, 8 (02) : 165 - 193
  • [23] Research on cooperation and learning in multi-agent system
    Zheng, SL
    Luo, XF
    Luo, ZH
    Yang, JG
    [J]. 2002 6TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS, VOLS I AND II, 2002, : 1159 - 1162
  • [24] Learning user preferences in multi-agent system
    Kiss, A
    Quinqueton, J
    [J]. FROM THEORY TO PRACTICE IN MULTI-AGENT SYSTEMS, 2002, 2296 : 169 - 178
  • [25] Study of Multi-agent Search Algorithms of the Structural Learning in Bayesian Network Learning
    Cao Yonghui
    [J]. PROCEEDINGS OF 2009 INTERNATIONAL WORKSHOP ON INFORMATION SECURITY AND APPLICATION, 2009, : 576 - 579
  • [26] A LEARNING AGENT FOR A MULTI-AGENT SYSTEM FOR PROJECT SCHEDULING IN CONSTRUCTION
    Wenzler, Florian
    Guenthner, Willibald A.
    [J]. PROCEEDINGS - 30TH EUROPEAN CONFERENCE ON MODELLING AND SIMULATION ECMS 2016, 2016, : 11 - 17
  • [27] Multi-agent learning
    Eduardo Alonso
    [J]. Autonomous Agents and Multi-Agent Systems, 2007, 15 : 3 - 4
  • [28] Multi-agent learning
    Alonso, Eduardo
    [J]. AUTONOMOUS AGENTS AND MULTI-AGENT SYSTEMS, 2007, 15 (01) : 3 - 4
  • [29] A Method of Trust Evaluation in Multi-agent System
    Guan Chun
    Li Guihan
    [J]. 2009 THIRD INTERNATIONAL SYMPOSIUM ON INTELLIGENT INFORMATION TECHNOLOGY APPLICATION, VOL 3, PROCEEDINGS, 2009, : 123 - 125
  • [30] Tacit Navigation Method for Multi-agent System
    Kim, J. W.
    Kim, Y. H.
    Min, B. C.
    Kim, D. H.
    [J]. TRENDS IN INTELLIGENT ROBOTICS, 2010, 103 : 186 - 193
12345