Multiagent approach for the representation of information in a decision support system

  • Authors:
  • Fahem Kebair;Frédéric Serin

  • Affiliations:
  • LITIS – Laboratoire d’Informatique, de Traitement de l’Information et des Systèmes, Université du Havre, Le Havre Cedex, France;LITIS – Laboratoire d’Informatique, de Traitement de l’Information et des Systèmes, Université du Havre, Le Havre Cedex, France

  • Venue:
  • AIMSA'06 Proceedings of the 12th international conference on Artificial Intelligence: methodology, Systems, and Applications
  • Year:
  • 2006

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Abstract

In an emergency situation, the actors need an assistance allowing them to react swiftly and efficiently. In this prospect, we present in this paper a decision support system that aims to prepare actors in a crisis situation thanks to a decision-making support. The global architecture of this system is presented in the first part. Then we focus on a part of this system which is designed to represent the information of the current situation. This part is composed of a multiagent system that is made of factual agents. Each agent carries a semantic feature and aims to represent a partial part of a situation. The agents develop thanks to their interactions by comparing their semantic features using proximity measures and according to specific ontologies.