Multiagent Approach for the Representation of Information in a Decision Support System
Identifieur interne : 000C15 ( France/Analysis ); précédent : 000C14; suivant : 000C16Multiagent Approach for the Representation of Information in a Decision Support System
Auteurs : Fahem Kebair [France] ; Frédéric Serin [France]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2006.
Abstract
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.
Url:
DOI: 10.1007/11861461_12
Affiliations:
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ISTEX:8E66583983B1F1DE227639EB57DC5B51AA5C278DLe document en format XML
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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. 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