A Logic for Reasoning about Evidence
| dc.creator | Halpern, Joseph Y. | |
| dc.creator | Pucella, Riccardo | |
| dc.date | 2004-05-26 | |
| dc.date | 2006-08-03 | |
| dc.date.accessioned | 2026-07-07T06:36:36Z | |
| dc.date.available | 2026-07-07T06:36:36Z | |
| dc.description | We introduce a logic for reasoning about evidence that essentially views evidence as a function from prior beliefs (before making an observation) to posterior beliefs (after making the observation). We provide a sound and complete axiomatization for the logic, and consider the complexity of the decision problem. Although the reasoning in the logic is mainly propositional, we allow variables representing numbers and quantification over them. This expressive power seems necessary to capture important properties of evidence. | |
| dc.description | 34 pages. A preliminary version appeared in Proc. 19th Conference on Uncertainty in Artificial Intelligence (UAI'03) | |
| dc.identifier | https://arxiv.org/abs/cs/0405098 | |
| dc.identifier | http://arxiv.org/abs/cs/0405098 | |
| dc.identifier | Journal of Artificial Intelligence Research 26, pp. 1-34, 2006 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/100137 | |
| dc.subject | Artificial Intelligence | |
| dc.subject | Logic in Computer Science | |
| dc.subject | I.2.4; F.2.1 | |
| dc.title | A Logic for Reasoning about Evidence | |
| dc.type | text |