Maximum Entropy Reasoning via Model Counting in (Description) Logics that Count

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Abstract

In previous work it was shown that the logic ALCME, which extends the description logic (DL) ALC with probabilistic conditionals, has domain-lifted inference. Here, we extend this result from the base logic ALC to two logics that can count, the two-variable fragment C2 of first-order logic (FOL) with counting quantifiers, and the DL ALCSCC, which is not a fragment of FOL. As an auxiliary result, we prove that model counting in ALCSCC can be realized in a domain-liftable way.

Details

Original languageEnglish
Title of host publicationProceedings of FLAIRS-38
Publication statusPublished - 14 May 2025
Peer-reviewedYes

Publication series

SeriesThe International FLAIRS Conference Proceedings
Number1
Volume38
ISSN2334-0754

Conference

Title38th International Florida Artificial Intelligence Research Society Conference
Abbreviated titleFLAIRS-38
Conference number38
Duration20 - 23 May 2025
Website
LocationHilton Daytona Beach Oceanfront Resort
CityDaytona Beach
CountryUnited States of America

External IDs

ORCID /0000-0002-4049-221X/work/191530702

Keywords

ASJC Scopus subject areas