EL MERNISSI Karim
Supervision : Nicolas MAUDET
Co-supervision : OUERDANE Wassila, FEILLET Pierre
A study of Explanation Generation in a Rule-Based System
The concept of “Business Rule Management System” (BRMS) has been introduced in order to facilitate the design, the management and the execution of company-specific business policies.
Based on a symbolic approach, the main idea behind these tools is to enable the business users to manage the business rule changes in the system without requiring programming skills. It is therefore a question of providing them with tools that enable to formulate their business policies in a near natural language form and automate their processing.
Nowadays, with the expansion of intelligent systems, we have to cope with more and more complex decision logic and large volumes of data. It is not straightforward to identify the causes leading to a decision. There is a growing need to justify and optimize automated decisions in a short time frame, which motivates the integration of advanced explanatory component into its systems.
Thus, the main challenge of this research is to provide an industrializable approach for explaining the decision-making processes of business rules applications and more broadly rule-based systems.
This approach should be able to provide the necessary information for enabling a general understanding of the decision, to serve as a justification for internal and external entities as well as to enable the improvement of existing rule engines.
To this end, the focus will be on the generation of the explanations in themselves as well as on the manner and the form in which they will be delivered.
Defence : 12/13/2017 - 10h - Site Jussieu 55-65/211
Jury members :
Alexis Tsoukias, Directeur de recherche CNRS à l'Université Paris-Dauphine [Rapporteur]
Vincent Mousseau, Professeur à l’Ecole CentraleSupélec [Rapporteur]
Jean-Pierre Briot, Directeur de recherche CNRS à l'Université Pierre et Marie-Curie
Nicolas Maudet, Professeur à l'Université Pierre et Marie-Curie
Wassila Ouerdane, Maître de Conférences à l’Ecole CentraleSupélec
Pierre Feillet, Architecte Produit Senior chez IBM
- K. El Mernissi : “A study of Explanation Generation in a Rule-Based System”, thesis, defence 12/13/2017, supervision Maudet, Nicolas, rapporteurs : OUERDANE Wassila, FEILLET Pierre (2017)
- K. EL MERNISSI, P. Feillet, N. Maudet, W. Ouerdane : “Introducing Causality in Business Rule-Based Decisions”, Advances in Artificial Intelligence: From Theory to Practice: 30th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2017, Arras, France, June 27-30, 2017, Proceedings, Part I, vol. 10350, Lecture Notes in Computer Science, Arras, France, pp. 433-439, (Springer) (2017)