Merging Locally Correct Knowledge Bases: A Preliminary Report
| dc.creator | Liberatore, Paolo | |
| dc.date | 2002-12-28 | |
| dc.date.accessioned | 2026-07-07T03:19:19Z | |
| dc.date.available | 2026-07-07T03:19:19Z | |
| dc.description | Belief integration methods are often aimed at deriving a single and consistent knowledge base that retains as much as possible of the knowledge bases to integrate. The rationale behind this approach is the minimal change principle: the result of the integration process should differ as less as possible from the knowledge bases to integrate. We show that this principle can be reformulated in terms of a more general model of belief revision, based on the assumption that inconsistency is due to the mistakes the knowledge bases contain. Current belief revision strategies are based on a specific kind of mistakes, which however does not include all possible ones. Some alternative possibilities are discussed. | |
| dc.identifier | https://arxiv.org/abs/cs/0212053 | |
| dc.identifier | http://arxiv.org/abs/cs/0212053 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/31411 | |
| dc.subject | Artificial Intelligence | |
| dc.subject | Logic in Computer Science | |
| dc.subject | I.2.4, F.4.1 | |
| dc.title | Merging Locally Correct Knowledge Bases: A Preliminary Report | |
| dc.type | text |