Name
Abstract | ||
|---|---|---|
We define weak implication $H \longmapsto_{\varphi} E$ ("H weakly implies E under $\mathit{\varphi}$") through the relation $\mathit{\varphi}(E|H)$ = 1, where $\mathit{\varphi}$ is a (coherent) conditional uncertainty measure. By considering various such measures with different levels of generality, we get different sets of "inferential rules", that correspond to those of default logic when $\mathit{\varphi}$ reduces to a conditional probability. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1007/978-3-540-75256-1_15 | ECSQARU |
Keywords | Field | DocType |
different level,different set,inferential rule,conditional probability,weak implication,conditional uncertainty measures,h weakly,conditional uncertainty measure,default logic,difference set | Default logic,Discrete mathematics,Conditional probability,Artificial intelligence,Default reasoning,Generality,Machine learning,Mathematics | Conference |
Volume | ISSN | Citations |
4724 | 0302-9743 | 2 |
PageRank | References | Authors |
0.38 | 10 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Giulianella Coletti | 1 | 572 | 71.49 |
| Romano Scozzafava | 2 | 367 | 48.05 |
| Barbara Vantaggi | 3 | 422 | 46.32 |