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<h5>Description:</h5>
<p>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.&nbsp;</p>

<h5>More Information:</h5>
<ul>
<li><strong>Grand Challenge/Workpackage(s)</strong>: <a href="/en/onderzoek/onderzoeksuitdagingen/ai-driven-data-science" data-entry-id="58" target="_blank" rel="noopener" data-entry-id="58">GC1</a> - WP2</li>
<li><strong>Responsible Research Lead</strong>:<a href="mailto:Joost.vennekens@kuleuven.be" target="_blank" rel="noopener"> Joost Vennekens</a></li>
<li><strong>Authors</strong>: <a href="mailto:s.vandevelde@kuleuven.be" target="_blank" rel="noopener">Simon Vandevelde</a>, <a href="mailto:victor.verreet@kuleuven.be" target="_blank" rel="noopener">Victor Verreet</a></li>
<li><strong>Programming Language</strong>: Python</li>
<li><a href="https://gitlab.com/EAVISE/cdmn/pdmn" target="_blank" rel="noopener">Link to the repository</a></li>
<li><strong>Categories:</strong> Probabilistic Programming</li>
</ul>

<h5>Publications:</h5>
<ul>
<li>Vandevelde, S., Verreet, V., De Raedt, L., &amp; Vennekens, J. (2021). A Table-Based Representation for Probabilistic Logic: Preliminary Results. Proceedings of StarAI 2021</li>
</ul>

<p>Solver for executing probabilistic Decision Model and Notation (pDMN) models.</p>