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Apports des Réseaux Bayésiens "Dynamiques" à la lutte contre la piraterie maritime

Abstract : The paper develops and discusses the project of designing a tool for decision support based on probabilistic analysis. The concept of "dynamic" Bayesian networks was chosen to create a graphical decision support in an uncertain world. The construction of this type of Bayesian networks can incorporate within knowledge bases probabilities distributions useful for predicting the future taking into account the past. The aim of the article is to describe the methodological approach that has helped design a prototype for planning of countermeasures applied against attacks of piracy against an oil platform at sea. The prototype supports the decision taking into account the influence of the decision at time T-1 on the decision to take at time T. A comparative study of Bayesian networks called "static" and Bayesian networks called "dynamic" is driving the dual purpose of showing the differences and complementary uses.
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Submitted on : Friday, November 14, 2014 - 2:29:18 PM
Last modification on : Monday, June 27, 2022 - 3:04:13 AM
Long-term archiving on: : Friday, April 14, 2017 - 2:20:15 PM


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  • HAL Id : hal-01082145, version 1


Franck Guarnieri, Amal Bouejla, Aldo Napoli. Apports des Réseaux Bayésiens "Dynamiques" à la lutte contre la piraterie maritime. Congrès λμ 19 (Lambda Mu 19) - 19e Congrès de Maîtrise des Risques et Sûreté de Fonctionnement - IMDR, Oct 2014, Dijon, France. ⟨hal-01082145⟩



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