Title :
Using adaptive multi-agent systems to simulate economic models
Author :
Guessoum, Z. ; Rejeb, L. ; Durand, R.
Author_Institution :
Universite Pierre et Marie Curie
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;
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