We present Probabilistic Decision Model and Notation (pDMN), a probabilistic extension of Decision Model and Notation (DMN). DMN is a modeling notation for deterministic decision logic, which intends to be user-friendly and low in complexity. pDMN extends DMN with probabilistic reasoning, predicates, functions, quantification, and a new hit policy. At the same time, it aims to retain DMN's user-friendliness to allow its usage by domain experts without the help of IT staff. pDMN models can be unambiguously translated into ProbLog programs to answer user queries. ProbLog is a probabilistic extension of Prolog flexibly enough to model and reason over any pDMN model.
@article{arxiv.2110.01909,
title = {A Table-Based Representation for Probabilistic Logic: Preliminary Results},
author = {Simon Vandevelde and Victor Verreet and Luc De Raedt and Joost Vennekens},
journal= {arXiv preprint arXiv:2110.01909},
year = {2021}
}