• DocumentCode
    388662
  • Title

    Simulation-based engineering of complex systems using EXTEND+MFG+OpEMCSS

  • Author

    Clymer, John R.

  • Author_Institution
    Appl. Res. Center for Syst. Sci., California State Univ., Fullerton, CA, USA
  • Volume
    1
  • fYear
    2002
  • fDate
    8-11 Dec. 2002
  • Firstpage
    147
  • Abstract
    A Complex Adaptive System (CAS) is a network of self-organizing, intelligent agents that share knowledge and adapt their operations in order to achieve overall system goals. Three things are needed to understand, design, and evaluate CAS. First, a mathematical model or way-of-thinking about CAS, called Context-Sensitive Systems (CSS) theory, is required to provide a solid foundation upon which to represent and describe the kinds of interactions that occur among the CAS agents during system operation. Second, a graphical modeling language is required that implements CSS theory in a way that enhances visualization and understanding of CAS. Third, a systems design and evaluation tool is required that makes it easy to apply CSS theory, expressed using a graphical modeling language, to understand, design, and evaluate CAS. As an example, an OpEMCSS model of two intelligent agents is discussed that learn rules and maximize their average reward in the prisoner´s dilemma game.
  • Keywords
    digital simulation; multi-agent systems; software agents; EXTEND; MFG; OpEMCSS; complex adaptive system; context-sensitive systems theory; graphical modeling language; prisoner´s dilemma game; self-organizing intelligent agents; Adaptive systems; Air traffic control; Cascading style sheets; Content addressable storage; Data engineering; Databases; Design engineering; Intelligent agent; Modeling; Systems engineering and theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Simulation Conference, 2002. Proceedings of the Winter
  • Print_ISBN
    0-7803-7614-5
  • Type

    conf

  • DOI
    10.1109/WSC.2002.1172878
  • Filename
    1172878