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Improving Probabilistic Rules Compilation using PRM

Gaspard Ducamp
Philippe Bonnard
  • Function : Author
Christophe Gonzales
Pierre-Henri Wuillemin


Widely adopted for more than 20 years in industrial fields, business rules offer the opportunity to non-IT users to define decision-making policies in a simple and intuitive way. To facilitate their use, systems known as Business Rule Management Systems have been developed , separating the business logic from the application one. While suitable for processing structured and complete data, BRMS face difficulties when those are incomplete or uncertain. This study proposes a new approach for the integration of probabilistic reasoning in IBM Operational Decision Manager (ODM), IBMs BRMS, especially through the introduction of a notion of risk, making the compilation phase more complex but increasing the expressiveness of business rules.
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hal-01974983 , version 1 (09-01-2019)


  • HAL Id : hal-01974983 , version 1


Gaspard Ducamp, Philippe Bonnard, Christian de Sainte Marie, Christophe Gonzales, Pierre-Henri Wuillemin. Improving Probabilistic Rules Compilation using PRM. RuleML+RR Doctoral Consortium 2018 (2nd International Joint Conference on Rules and Reasoning ), Sep 2018, Esch-sur-Alzette, Luxembourg. ⟨hal-01974983⟩
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