# A Table-Based Representation for Probabilistic Logic: Preliminary Results

arXiv: https://arxiv.org/abs/2110.01909 · HTML: https://mlsanity.com/paper/2110.01909/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 1 of its 4 references that are in the map.
- First posted on arXiv 5 Oct 2021.

## Builds on (most cited first, 1 of 1)

- [Tackling the DMN Challenges with cDMN: a Tight Integration of DMN and constraint reasoning](https://mlsanity.com/paper/2005.09998/) (2020)

## Abstract (arXiv)

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.