English

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

Artificial Intelligence 2008-12-18 v1

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.

Keywords

Cite

@article{arxiv.0803.3501,
  title  = {Multiagent Approach for the Representation of Information in a Decision Support System},
  author = {Fahem Kebair and Frédéric Serin},
  journal= {arXiv preprint arXiv:0803.3501},
  year   = {2008}
}
R2 v1 2026-06-21T10:24:10.771Z