Multiagent Approach for the Representation of Information in a Decision Support System

Fahem Kebair (1) , Frédéric Serin (1)

1 LITIS - Laboratoire d'Informatique, de Traitement de l'Information et des Systèmes

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.

Mots clés: Decision support system; Factual agent; Indicators; Multiagent system; Proximity measure; Semantic feature

Domaines: Intelligence artificielle [cs.AI]

Fahem Kebair, Frédéric Serin. Multiagent Approach for the Representation of Information in a Decision Support System. SpringerLink. Springer Berlin / Heidelberg, pp.98-107, 2006, Lecture Notes in Computer Science. ⟨hal-00266463⟩