ORCID: https://orcid.org/0000-0002-3895-8279
(2024):
The generalised distribution semantics and projective families of distributions.
In: Journal of Logical and Algebraic Methods in Programming, Vol. 139, 100975
[PDF, 634kB]
Abstract
We generalise the distribution semantics underpinning probabilistic logic programming by distilling its essential concept, the separation of a free random component and a deterministic part. This abstracts the core ideas beyond logic programming as such to encompass frameworks from probabilistic databases, probabilistic finite model theory and discrete lifted Bayesian networks. To demonstrate the usefulness of such a general approach, we completely characterise the projective families of distributions representable in the generalised distribution semantics and we demonstrate both that large classes of interesting projective families cannot be represented in a generalised distribution semantics and that already a very limited fragment of logic programming (acyclic determinate logic programs) in the deterministic part suffices to represent all those projective families that are representable in the generalised distribution semantics at all.
| Item Type: | Journal article |
|---|---|
| Faculties: | Mathematics, Computer Science and Statistics > Computer Science |
| Subjects: | 000 Computer science, information and general works > 004 Data processing computer science |
| URN: | urn:nbn:de:bvb:19-epub-118402-2 |
| ISSN: | 23522208 |
| Language: | English |
| Item ID: | 118402 |
| Date Deposited: | 05. Jul 2024 06:34 |
| Last Modified: | 12. Jul 2024 07:21 |
