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Bayesian Networks and Games of Deterrence

  • Michel RudnianskiEmail author
  • Utsav Sadana
  • Hélène Bestougeff
Chapter
Part of the Static & Dynamic Game Theory: Foundations & Applications book series (SDGTFA)

Abstract

The present paper analyzes possible bridges between two types of graphical models: on the one hand, Bayesian Networks, and on the other hand, Graphs of Deterrence associated with a particular category of qualitative games called matrix Games of Deterrence, in which players do not look for optimal outcomes but for acceptable ones. Three related-types of relations are scrutinized: implications and rebuttals; priors and hidden parts of the graph; probability and playability.

Keywords

Antecedents Bayes Deterrence Game Graph Graphical models Implication Matrix Network Path Playability Probability Rebuttal Solution Tree 

Notes

Acknowledgements

The present paper is based on the work developed within the European FP7 research project Law Enforcement and Intelligence Learning Applications (LEILA). LEILA aims at developing serious games enabling to improve the skills and competencies of intelligence analysts, in particular through getting the ability to generate and interpret inference schemes associated with Graphs of Deterrence.

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Michel Rudnianski
    • 1
    Email author
  • Utsav Sadana
    • 2
  • Hélène Bestougeff
    • 3
  1. 1.ORT FranceParisFrance
  2. 2.Work performed during an internship at ORT FranceORT FRANCEParisFrance
  3. 3.CODATA FranceParisFrance

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