12 - 13 September 2025 (exact date TBA), Co-located with ICLP2025, Rende, Italy
The workshop encompasses all aspects of combining logic, algorithms, programming, and probability.
PLP is part of a wider current interest in probabilistic programming. Due to logic programming's strong theoretical underpinnings, PLP is one of the more disciplined areas of probabilistic programming. It builds upon and benefits from the large body of existing work in logic programming, both in semantics and implementation, but also presents new challenges to the field.
While PLP has already contributed a number of formalisms, systems and well understood and established results in, such as, parameter estimation, tabling, marginal probabilities and Bayesian learning, many questions remain open in this exciting, expanding field in the intersection of AI, machine learning, and statistics. As is traditional in this series, the workshop would be designed to foster exchange between the various communities relevant to probabilistic logic programming, including probabilistic programming and statistical relational artificial intelligence.
Topics of interest include, but are not limited to:
At least one author of each accepted paper will be required to attend the workshop to present the contribution.
Papers should follow the standard CEUR template available at: https://www.overleaf.com/read/zdmkmssdrdtq#93a571
Submission will be managed via Easychair: https://easychair.org/conferences/?conf=plp2025
The workshop proceedings will be published in the CEUR Workshop Proceedings series.
University of Calabria, Italy
Co-located with ICLP 2025
Damiano Azzolini, University of Ferrara
Markus Hecher, CNRS, Artois University (CRIL)
TBA