Analysis of the KQML model in multi-agent interaction

被引:1
|
作者
Liu Hai-long
Wu Tie-jun
机构
[1] Zhejiang University,National Laboratory for Industrial Process Control Technology, Institute of Intelligent Systems and Decision Making
来源
关键词
multi-agent; KQML; communication; A; TP18;
D O I
10.1631/jzus.2001.0132
中图分类号
学科分类号
摘要
Our analysis of the KQML (Knowledge Query and Manipulation Language) model yielded some conclusions on the knowledge level of communication in agent-oriented program. First, the agent state and transition model were given for analyzing the necessary conditions for interaction with the synchronal and asynchronous KQML model respectively. Second, we analyzed the deadlock and starvation problems in the KQML communication, and gave the solution. At last, the advantages and disadvantages of the synchronal and asynchronous KQML model were listed respectively, and the choosing principle was given.
引用
收藏
页码:132 / 136
页数:4
相关论文
共 50 条
  • [1] ANALYSIS OF THE KQML MODEL IN MULTI-AGENT INTERACTION
    刘海龙
    吴铁军
    [J]. Journal of Zhejiang University-Science A(Applied Physics & Engineering), 2001, (02) : 12 - 16
  • [2] Analysis of the KQML model in multi-agent
    Liu, Hai-Long
    Wu, Tie-Jun
    [J]. Ruan Jian Xue Bao/Journal of Software, 2002, 13 (04): : 853 - 858
  • [3] A KQML multi-agent environment for concurrent process engineering
    Batres, R
    Asprey, SP
    Fuchino, T
    Naka, Y
    [J]. COMPUTERS & CHEMICAL ENGINEERING, 1999, 23 : S653 - S656
  • [4] Optimizing KQML for Usage in Wood Drying Multi-Agent Coordination System
    Liu, Yaqiu
    Zhang, Xue
    Wu, Qu
    [J]. 2011 CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-6, 2011, : 3725 - 3730
  • [5] The method of model checking policy of multi-agent interaction
    Zhang, Tao
    Xie, Hong
    Huang, Shao-Bin
    [J]. Dianzi Keji Daxue Xuebao/Journal of the University of Electronic Science and Technology of China, 2016, 45 (05): : 802 - 807
  • [6] Team coordination as a model for multi-agent interaction training
    Serfaty, D
    [J]. HUMAN INTERACTION WITH COMPLEX SYSTEMS: CONCEPTUAL PRINCIPLES AND DESIGN PRACTICE, 1996, 372 : 391 - 395
  • [7] A formal model of multi-agent belief-interaction
    Cantwell J.
    [J]. Journal of Logic, Language and Information, 2006, 15 (4) : 303 - 329
  • [8] A Hybrid Interaction Model for Multi-Agent Reinforcement Learning
    Guisi, Douglas M.
    Ribeiro, Richardson
    Teixeira, Marcelo
    Borges, Andre P.
    Dosciatti, Eden R.
    Enembreck, Fabricio
    [J]. PROCEEDINGS OF THE 18TH INTERNATIONAL CONFERENCE ON ENTERPRISE INFORMATION SYSTEMS, VOL 2 (ICEIS), 2016, : 54 - 61
  • [9] A formal model of multi-agent belief-interaction
    Cantwell J.
    [J]. Journal of Logic, Language and Information, 2005, 14 (4) : 397 - 422
  • [10] The Model of Multi-Agent Interaction in a Transportation Problem with a Corruption Component
    Malafeyev, Oleg
    Saifullina, Darya
    Ivaniukovich, Georgiy
    Marakhov, Vladimir
    Zaytseva, Irina
    [J]. PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON NUMERICAL ANALYSIS AND APPLIED MATHEMATICS 2016 (ICNAAM-2016), 2017, 1863