Maximum Entropy Reasoning via Model Counting in (Description) Logics that Count
Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review
Contributors
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 language | English |
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| Title of host publication | Proceedings of FLAIRS-38 |
| Publication status | Published - 14 May 2025 |
| Peer-reviewed | Yes |
Publication series
| Series | The International FLAIRS Conference Proceedings |
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| Number | 1 |
| Volume | 38 |
| ISSN | 2334-0754 |
Conference
| Title | 38th International Florida Artificial Intelligence Research Society Conference |
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| Abbreviated title | FLAIRS-38 |
| Conference number | 38 |
| Duration | 20 - 23 May 2025 |
| Website | |
| Location | Hilton Daytona Beach Oceanfront Resort |
| City | Daytona Beach |
| Country | United States of America |
External IDs
| ORCID | /0000-0002-4049-221X/work/191530702 |
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