Hybrid probabilistic logic programs can represent several scenarios thanks to the expressivity of Logic Programming extended with facts representing discrete and continuous distributions. The semantics for this type of programs is crucial since it ensures that a probability can be assigned to every query. Here, following one recent semantics proposal, we illustrate a concrete syntax, and we analyse the syntactic requirements needed to preserve the well-definedness.

Syntactic requirements for well-defined hybrid probabilistic logic programs

Azzolini D.;Riguzzi F.
2021

Abstract

Hybrid probabilistic logic programs can represent several scenarios thanks to the expressivity of Logic Programming extended with facts representing discrete and continuous distributions. The semantics for this type of programs is crucial since it ensures that a probability can be assigned to every query. Here, following one recent semantics proposal, we illustrate a concrete syntax, and we analyse the syntactic requirements needed to preserve the well-definedness.
2021
Probabilistic Logic Programming, Statistical Relational Artificial Intelligence, Probabilistic Hybrid Logic Programming
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11392/2467212
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