• DocumentCode
    577623
  • Title

    Stigmergy agent and swarm-intelligence-based multi-agent system

  • Author

    Duan, Junhua ; Zhu, Yi-an ; Huang, Shujuan

  • Author_Institution
    Sch. of Comput. Sci. & Eng., Northwestern Polytech. Univ., Xi´´an, China
  • fYear
    2012
  • fDate
    6-8 July 2012
  • Firstpage
    720
  • Lastpage
    724
  • Abstract
    Social insect colonies present a highly structured social organization with the fact that they can accomplish complex tasks in spite of the simplicity of their individuals. Swarm intelligence receives high attention in recent years. Stigmergy is an important mechanism for swarm intelligence. This article deliberately studies animal swarm intelligence and their stigmergy mechanism, and applies these principles to multi-agent system study. Firstly, we establish a stigmergy agent model, which is a general architecture, based on stigmergy mechanism and animal task allocation method. Then extended stigmergy architecture is put forward based on Stigmergy Agent architecture, adding direct contact between agents to general stigmergy architecture, which extends the stigmergy application domain. At last we introduce swarm intelligence based multi-agent system, and put forward improved bipartite graph to analysis the multi-agent organization architecture. Some application research directions are also discussed in this article.
  • Keywords
    biology computing; graph theory; multi-agent systems; swarm intelligence; zoology; animal swarm intelligence; bipartite graph; multi-agent system; social insect colonies; stigmergy agent; structured social organization; Bipartite graph; Computer architecture; Educational institutions; Insects; Multiagent systems; Particle swarm optimization; Resource management; Agent; Multi-agent system; Stigmergy; Swarm Intelligence;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation (WCICA), 2012 10th World Congress on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4673-1397-1
  • Type

    conf

  • DOI
    10.1109/WCICA.2012.6357972
  • Filename
    6357972