pDMN-solver
Solver for executing probabilistic Decision Model and Notation (pDMN) models.
Description:
The pDMN solver is an execution engine for the pDMN notation, based on a the well-known probablistic tool ProbLog. pDMN is an extension of the Decision Model and Notation standard, a modelling standard for (straightforward) decision logic that aims to be user-friendly, and easily readable. We extended this notation by adding probabilistic concepts, such as the probability table, while staying true to its original goal of user-friendliness.
More Information:
Originates from the AI-Driven Data Science research challenge (FAIR 2019–2023).
Responsible Research Lead: Joost Vennekens
Authors: Simon Vandevelde, Victor Verreet
Programming Language: Python
Categories: Probabilistic Programming
Publications:
Vandevelde, S., Verreet, V., De Raedt, L., & Vennekens, J. (2021). A Table-Based Representation for Probabilistic Logic: Preliminary Results. Proceedings of StarAI 2021