Using Adaptive Multi-Agent Systems to Simulate Economic Models

  • Authors:
  • Zahia Guessoum;Lilia Rejeb;Rodolphe Durand

  • Affiliations:
  • LIP6 - Université Pierre et Marie Curie;LERI - Université de Reims;Ecole de Management de Lyon

  • Venue:
  • AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 1
  • Year:
  • 2004

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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.