• DocumentCode
    2208350
  • Title

    Using adaptive multi-agent systems to simulate economic models

  • Author

    Guessoum, Z. ; Rejeb, L. ; Durand, R.

  • Author_Institution
    Universite Pierre et Marie Curie
  • fYear
    2004
  • fDate
    23-23 July 2004
  • Firstpage
    68
  • Lastpage
    75
  • Abstract
    Economic markets are complex systems. They are characterized by a large and dynamic population of firms. To deal with this complexity, we propose an adaptive multiagent system which models a set of firms in competition with each other within a shared market. The firms are represented by agents; each firm is represented by an adaptive agent. We show the advantages of adaptive agents to represent firms. Moreover, we underline the limits of the economic models which account for the firms only and ignore the organizational forms. We propose a new adaptive multiagent model that includes the organizational forms into the economic models. We simulate this model and discuss its advantages.
  • Keywords
    Adaptation model; Adaptive systems; Biological system modeling; Environmental factors; Multiagent systems; Permission; Reflection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Autonomous Agents and Multiagent Systems, 2004. AAMAS 2004. Proceedings of the Third International Joint Conference on
  • Conference_Location
    New York, NY, USA
  • Print_ISBN
    1-58113-864-4
  • Type

    conf

  • Filename
    1373464