Name
Abstract | ||
|---|---|---|
In this paper we study a kind of operator -known as credibility-limited base revisions- which addresses two of the main issues that have been pointed out to the AGM model of belief change. Indeed, on the one hand, these operators are defined on belief bases (rather than belief sets) and, on the other hand, they are constructed with the underlying idea that not all new information is accepted. We propose twenty different classes of credibility-limited base revision operators and obtain axiomatic characterizations for each of them. Additionally we thoroughly investigate the interrelations (in the sense of inclusion) among all those classes. More precisely, we analyse whether each one of those classes is or is not (strictly) contained in each of the remaining ones. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1613/jair.1.12298 | JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH |
DocType | Volume | Issue |
Journal | 69 | 1 |
ISSN | Citations | PageRank |
1076-9757 | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Marco Garapa | 1 | 0 | 3.38 |
| Eduardo Fermé | 2 | 96 | 16.89 |
| Maurício D. L. Reis | 3 | 1 | 1.38 |