Damiano Azzolini

Optimizing Probabilities in Probabilistic Logic Programs

2021 · Theory and Practice of Logic Programming

Abstract Probabilistic logic programming is an effective formalism for encoding problems characterized by uncertainty. Some of these problems may require the optimization of probability values subject to constraints among probability distributions of random variables. Here, …

Solving Decision Theory Problems with Probabilistic Answer Set Programming

2024 · arXiv (Cornell University)

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 the environment. In this paper, we introduce the …