3 citations · 8 across the 9 of their papers we have counts for
9 papers
Application Placement with Constraint Relaxation
Damiano Azzolini, Marco Duca, Stefano Forti +2
Novel utility computing paradigms rely upon the deployment of multi-service applications to pervasive and highly distributed cloud-edge infrastructure resources. Deciding onto whic…
Integrating Belief Domains into Probabilistic Logic Programs
Damiano Azzolini, Fabrizio Riguzzi, Theresa Swift
Probabilistic Logic Programming (PLP) under the Distribution Semantics is a leading approach to practical reasoning under uncertainty. An advantage of the Distribution Semantics is…
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…
Continuous reasoning for adaptive container image distribution in the cloud-edge continuum
Damiano Azzolini, Stefano Forti, Antonio Ielo
Cloud-edge computing requires applications to operate across diverse infrastructures, often triggered by cyber-physical events. Containers offer a lightweight deployment option but…
Syntactic Requirements for Well-defined Hybrid Probabilistic Logic Programs
Damiano Azzolini, Fabrizio Riguzzi
Hybrid probabilistic logic programs can represent several scenarios thanks to the expressivity of Logic Programming extended with facts representing discrete and continuous distrib…
Optimizing Probabilities in Probabilistic Logic Programs
Damiano Azzolini, Fabrizio Riguzzi
Probabilistic Logic Programming is an effective formalism for encoding problems characterized by uncertainty. Some of these problems may require the optimization of probability val…