Abductive and Consistency-Based Diagnosis Revisited: a Modeling Perspective
| dc.creator | Dupre', Daniele Theseider | |
| dc.date | 2000-03-07 | |
| dc.date.accessioned | 2026-07-07T03:15:57Z | |
| dc.date.available | 2026-07-07T03:15:57Z | |
| dc.description | Diagnostic reasoning has been characterized logically as consistency-based reasoning or abductive reasoning. Previous analyses in the literature have shown, on the one hand, that choosing the (in general more restrictive) abductive definition may be appropriate or not, depending on the content of the knowledge base [Console&Torasso91], and, on the other hand, that, depending on the choice of the definition the same knowledge should be expressed in different form [Poole94]. Since in Model-Based Diagnosis a major problem is finding the right way of abstracting the behavior of the system to be modeled, this paper discusses the relation between modeling, and in particular abstraction in the model, and the notion of diagnosis. | |
| dc.description | 5 pages, 8th Int. Workshop on Nonmonotonic Reasoning, 2000 | |
| dc.identifier | https://arxiv.org/abs/cs/0003016 | |
| dc.identifier | http://arxiv.org/abs/cs/0003016 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/30178 | |
| dc.subject | Artificial Intelligence | |
| dc.subject | I.2.3; I.2.4 | |
| dc.title | Abductive and Consistency-Based Diagnosis Revisited: a Modeling Perspective | |
| dc.type | text |