• DocumentCode
    2475935
  • Title

    Agent-based modeling and simulation of Complex Distributed Systems

  • Author

    Tianfield, Huaglory ; Tian, Jiang

  • Author_Institution
    Sch. of Eng. & Comput., Glasgow Caledonian Univ., Glasgow
  • fYear
    2008
  • fDate
    25-27 June 2008
  • Firstpage
    416
  • Lastpage
    421
  • Abstract
    The complexity of complex distributed systems (CODS) is essentially attributed to the inherent autonomy of the sub-systems and the dynamic intricate interactions among the sub-systems. Since agent-based modeling and simulation (ABMS) is good at modeling and simulating such systems where there are a large number of heterogeneous entities behaving independently, ABMS is well suitable for CODS. This paper identifies ABMSpsilas main differences compared to conventional simulation approaches, and analyzes briefly some important ABMS platforms relevant to CODS. Finally, ABMS of biological systems is discussed as typical of CODS.
  • Keywords
    distributed processing; multi-agent systems; agent-based modeling; agent-based simulation; complex distributed systems; Biological system modeling; Biological systems; Biology computing; Computational modeling; Discrete event simulation; Distributed computing; Equations; Humans; Mathematical model; Object oriented modeling; agent-based modeling; agent-based simulation; complex adaptive system; complex distributed system; multi-agent system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
  • Conference_Location
    Chongqing
  • Print_ISBN
    978-1-4244-2113-8
  • Electronic_ISBN
    978-1-4244-2114-5
  • Type

    conf

  • DOI
    10.1109/WCICA.2008.4592960
  • Filename
    4592960