TY  - JOUR
N1  - This work is licensed under the Creative Commons Attribution License. To view a copy of this
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IS  - 2
EP  - 2:35
AV  - public
VL  - 17
Y1  - 2021///
SP  - 2:1
TI  - Coalgebraic Semantics for Probabilistic Logic Programming.
A1  - Gu, T
A1  - Zanasi, F
JF  - Logical Methods in Computer Science
UR  - https://lmcs.episciences.org/7365
ID  - discovery10127516
N2  - Probabilistic logic programming is increasingly important in artificial intelligence and related fields as a formalism to reason about uncertainty. It generalises logic programming with the possibility of annotating clauses with probabilities. This paper proposes a coalgebraic semantics on probabilistic logic programming. Programs are modelled as coalgebras for a certain functor F, and two semantics are given in terms of cofree coalgebras. First, the F-coalgebra yields a semantics in terms of derivation trees. Second, by embedding F into another type G, as cofree G-coalgebra we obtain a `possible worlds' interpretation of programs, from which one may recover the usual distribution semantics of probabilistic logic programming. Furthermore, we show that a similar approach can be used to provide a coalgebraic semantics to weighted logic programming.
ER  -