Name
Abstract | ||
|---|---|---|
We maintain that among the research trends concerning the various aspects and methodologies for the management of partial
and revisable information in automated reasoning and giving particular emphasis to conditioning and inference, conditional
events and conditional probability (in a coherent– in the sense of de Finetti – framework) play a central role: we will review some of our and related results, showing that
this approach is able to encompass many of other existing numerical and symbolic methods dealing with the treatment of partial
knowledge and uncertainty in Artificial Intelligence. |
Year | DOI | Venue |
|---|---|---|
1999 | 10.1007/s005000050060 | Soft Comput. |
Keywords | Field | DocType |
conditional probability,partial knowledge.,coherence,artificial intelligent,automated reasoning | Automated reasoning,Conditional probability,Intelligent decision support system,Inference,Computer science,Conditioning,Coherence (physics),Artificial intelligence,Machine learning | Journal |
Volume | Issue | Citations |
3 | 3 | 48 |
PageRank | References | Authors |
5.16 | 9 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Giulianella Coletti | 1 | 572 | 71.49 |
| Romano Scozzafava | 2 | 367 | 48.05 |