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

dc.creatorKebair, Fahem
dc.creatorSerin, Frédéric
dc.date2008-03-25
dc.date.accessioned2026-07-07T12:17:51Z
dc.date.available2026-07-07T12:17:51Z
dc.descriptionIn 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.
dc.identifierhttps://arxiv.org/abs/0803.3501
dc.identifierhttp://arxiv.org/abs/0803.3501
dc.identifierMultiagent Approach for the Representation of Information in a Decision Support System, Springer Berlin / Heidelberg (Ed.) (2006) 98-107
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/212215
dc.subjectArtificial Intelligence
dc.titleMultiagent Approach for the Representation of Information in a Decision Support System
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