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Experiencing Self-adaptive MAS for Real-Time Decision Support Systems

  • Jean-Pierre Georgé
  • Sylvain Peyruqueou
  • Christine Régis
  • Pierre Glize
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 55)

Abstract

Hydrological phenomena are often very dynamic and depend on numerous criteria. The STAFF software is an adaptive model for flood forecast based on self-organizing multiagent systems. It is operational since 2002 in the Midi-Pyrenees region in France. The aim of this paper is to show the relevance of our approach to model complex natural systems by focusing on the results, architecture and self-organization mechanisms of a real world application. The main idea is to let the artificial system self-adapt towards the adequate model by confronting it to real data, thus ensuring that the resulting model represents reality. Moreover, since the MAS is constantly adapting, we obtain a dynamic and autonomous system that can take into account any future dynamics (strong perturbations, sensor breakdowns...) and able to provide decision-makers with usable information anytime.

Keywords

Cooperative agents self-organisation emergence adaptation flood forecast 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Jean-Pierre Georgé
    • 1
  • Sylvain Peyruqueou
    • 2
  • Christine Régis
    • 1
  • Pierre Glize
    • 1
  1. 1.IRIT - Institut de Recherche en Informatique de ToulouseToulouse Cedex 4France
  2. 2.UPETEC – Emergence Technologies for Unsolved Problems, Parc Technologique du CanalRamonville Saint AgneFrance

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