Damiano Azzolini

2 accepted papers

2025

Most Probable Explanation in Probabilistic Answer Set Programming

Damiano Azzolini, Giuseppe Mazzotta, Francesco Ricca, Fabrizio Riguzzi

IJCAI 2025

Most Probable Explanation (MPE) is a fundamental problem in statistical relational artificial intelligence. In the context of Probabilistic Answer Set Programming (PASP), solving MPE is still an open research problem. In this paper, we present three novel approaches for solving the MPE task in PASP

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2024

Inference in Probabilistic Answer Set Programs with Imprecise Probabilities via Optimization

Damiano Azzolini, Fabrizio Riguzzi

UAI 2024poster

Probabilistic answer set programming has recently been extended to manage imprecise probabilities by means of credal probabilistic facts and credal annotated disjunctions. This increases the expressivity of the language but, at the same time, the cost of inference. In this paper, we cast inference i…

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