41 citations · 59 across the 7 of their papers we have counts for
5 papers · 1 filter
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…
Nonground Abductive Logic Programming with Probabilistic Integrity Constraints
Elena Bellodi, Marco Gavanelli, Riccardo Zese +2
Uncertain information is being taken into account in an increasing number of application fields. In the meantime, abduction has been proved a powerful tool for handling hypothetica…
A Framework for Reasoning on Probabilistic Description Logics
Giuseppe Cota, Riccardo Zese, Elena Bellodi +2
While there exist several reasoners for Description Logics, very few of them can cope with uncertainty. BUNDLE is an inference framework that can exploit several OWL (non-probabili…
MAP Inference for Probabilistic Logic Programming
Elena Bellodi, Marco Alberti, Fabrizio Riguzzi +1
In Probabilistic Logic Programming (PLP) the most commonly studied inference task is to compute the marginal probability of a query given a program. In this paper, we consider two…
Probabilistic DL Reasoning with Pinpointing Formulas: A Prolog-based Approach
Riccardo Zese, Giuseppe Cota, Evelina Lamma +2
When modeling real world domains we have to deal with information that is incomplete or that comes from sources with different trust levels. This motivates the need for managing un…