رئاسـة البـحث : Christophe GONZALES
تأطـير مـشـترك : WUILLEMIN Pierre-Henri

Probabilistic rules optimized compilation

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.

This study proposes a new approach for the integration of probabilistic reasoning in IBM Operational Decision Manager (ODM), IBM’s BRMS, especially through the introduction of a notion of risk, making the compilation phase more complex but increasing the expressiveness of business rules.

مناقـشـة مـذكـرة : 13/04/2021

أعـضاء لجنة المناقـشة :

LERAY Philippe (Professeur/ Polytech Nantes, LS2N) [Rapporteur]
FAGES François (Professeur/ École Polytechnique, INRIA Saclay) [Rapporteur]
DELCROIX Véronique (Maitre de conférence/ Université Polytechnique Hauts-de-France, LAMIH)
NOUY Anthony (Professeur/ Centrale Nantes, LMJL)
GONZALES Christophe (Professeur/ Université Aix Marseille, LIS)
BONNARD Philippe (Ingénieur/ IBM France)
WUILLEMIN Pierre-Henri (Maitre de conférence/ Sorbonne Université, LIP6)

إصدارات 2018-2021

• 2021
  • G. Ducamp : “Optimisation de la compilation de règles métier probabilistes à l’aide de PRM”, أطروحة, مناقـشـة مـذكـرة 13/04/2021, رئاسـة البـحث Gonzales, Christophe, تأطـير مـشـترك : Wuillemin, Pierre-Henri (2021)
• 2020
  • G. Ducamp, Ch. Gonzales, P.‑H. Wuillemin : “aGrUM/pyAgrum : a toolbox to build models and algorithms for Probabilistic Graphical Models in Python”, 10^th International Conference on Probabilistic Graphical Models, vol. 138, Proceedings of Machine Learning Research, Skørping, Denmark, pp. 609-612 (2020)
  • G. Ducamp, Ph. Bonnard, A. Nouy, P.‑H. Wuillemin : “An Efficient Low-Rank Tensors Representation for Algorithms in Complex Probabilistic Graphical Models”, 10^th International Conference on Probabilistic Graphical Models, vol. 138, Proceedings of Machine Learning Research, Skørping, Denmark, pp. 173-184 (2020)
  • G. Ducamp, Ph. Bonnard, Ch. De Sainte Marie, P.‑H. Wuillemin : “Advanced Syntax and Compilation for Probabilistic Production Rules with PRM”, 14^th International Rule Challenge, 4^th Doctoral Consortium, and 6^th Industry Track, vol. 2644, Proceedings of the 14^th International Rule Challenge, 4^th Doctoral Consortium, and 6^th Industry Track, Oslo, Norway, pp. 103-110 (2020)
  • G. Ducamp, Ph. Bonnard, P.‑H. Wuillemin : “Uncertain Reasoning in Rule-Based Systems Using PRM”, FLAIRS 33 - 33^rd Florida Artificial Intelligence Research Society Conference, Miami, United States, pp. 617-620, (AAAI) (2020)
• 2018
  • G. Ducamp, Ph. Bonnard, Ch. De Sainte Marie, Ch. Gonzales, P.‑H. Wuillemin : “Improving Probabilistic Rules Compilation using PRM”, RuleML+RR Doctoral Consortium 2018 (2^nd International Joint Conference on Rules and Reasoning ), Esch-sur-Alzette, Luxembourg (2018)
  • G. Ducamp, Ph. Bonnard, Ch. De Sainte Marie, Ch. Gonzales, P.‑H. Wuillemin : “Optimisation de la compilation de règles métier probabilistes à l’aide de PRM”, 9^es Journées Francophones sur les Réseaux Bayésiens et les Modèles Graphiques Probabilistes (JFRB 2018), Toulouse, France (2018)