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DOI: 10.4230/LIPIcs.CALCO.2019.10
URN: urn:nbn:de:0030-drops-114387
URL: https://drops.dagstuhl.de/opus/volltexte/2019/11438/
Gu, Tao ; Zanasi, Fabio
A Coalgebraic Perspective on Probabilistic Logic Programming
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Abstract
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 perspective 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 cofree 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.
BibTeX - Entry
@InProceedings{gu_et_al:LIPIcs:2019:11438,
author = {Tao Gu and Fabio Zanasi},
title = {{A Coalgebraic Perspective on Probabilistic Logic Programming}},
booktitle = {8th Conference on Algebra and Coalgebra in Computer Science (CALCO 2019)},
pages = {10:1--10:21},
series = {Leibniz International Proceedings in Informatics (LIPIcs)},
ISBN = {978-3-95977-120-7},
ISSN = {1868-8969},
year = {2019},
volume = {139},
editor = {Markus Roggenbach and Ana Sokolova},
publisher = {Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
address = {Dagstuhl, Germany},
URL = {http://drops.dagstuhl.de/opus/volltexte/2019/11438},
URN = {urn:nbn:de:0030-drops-114387},
doi = {10.4230/LIPIcs.CALCO.2019.10},
annote = {Keywords: probabilistic logic programming, coalgebraic semantics, distribution semantics}
}
| Keywords: | probabilistic logic programming, coalgebraic semantics, distribution semantics | |
| Seminar: | 8th Conference on Algebra and Coalgebra in Computer Science (CALCO 2019) | |
| Issue date: | 2019 | |
| Date of publication: | 25.11.2019 |
