12 citations · 19 across the 8 of their papers we have counts for
5 papers · 1 filter
Predicate Renaming via Large Language Models
Elisabetta Gentili, Tony Ribeiro, Fabrizio Riguzzi +1
In this paper, we address the problem of giving names to predicates in logic rules using Large Language Models (LLMs). In the context of Inductive Logic Programming, various rule g…
Probabilistic Answer Set Programming with Discrete and Continuous Random Variables
Damiano Azzolini, Fabrizio Riguzzi
Probabilistic Answer Set Programming under the credal semantics (PASP) extends Answer Set Programming with probabilistic facts that represent uncertain information. The probabilist…
Solving Decision Theory Problems with Probabilistic Answer Set Programming
Damiano Azzolini, Elena Bellodi, Rafael Kiesel +1
Solving a decision theory problem usually involves finding the actions, among a set of possible ones, which optimize the expected reward, possibly accounting for the uncertainty of…
Symbolic Parameter Learning in Probabilistic Answer Set Programming
Damiano Azzolini, Elisabetta Gentili, Fabrizio Riguzzi
Parameter learning is a crucial task in the field of Statistical Relational Artificial Intelligence: given a probabilistic logic program and a set of observations in the form of in…
Fast Inference for Probabilistic Answer Set Programs via the Residual Program
Damiano Azzolini, Fabrizio Riguzzi
When we want to compute the probability of a query from a Probabilistic Answer Set Program, some parts of a program may not influence the probability of a query, but they impact on…