Responsibility and blame: a structural-model approach
| dc.creator | Chockler, Hana | |
| dc.creator | Halpern, Joseph Y. | |
| dc.date | 2003-12-17 | |
| dc.date.accessioned | 2026-07-07T03:20:45Z | |
| dc.date.available | 2026-07-07T03:20:45Z | |
| dc.description | Causality is typically treated an all-or-nothing concept; either A is a cause of B or it is not. We extend the definition of causality introduced by Halpern and Pearl [2001] to take into account the degree of responsibility of A for B. For example, if someone wins an election 11--0, then each person who votes for him is less responsible for the victory than if he had won 6--5. We then define a notion of degree of blame, which takes into account an agent's epistemic state. Roughly speaking, the degree of blame of A for B is the expected degree of responsibility of A for B, taken over the epistemic state of an agent. | |
| dc.identifier | https://arxiv.org/abs/cs/0312038 | |
| dc.identifier | http://arxiv.org/abs/cs/0312038 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/31935 | |
| dc.subject | Artificial Intelligence | |
| dc.subject | Logic in Computer Science | |
| dc.subject | I.2.1 | |
| dc.title | Responsibility and blame: a structural-model approach | |
| dc.type | text |