Abstract
In this paper we investigate the properties of iterated multiple belief revision. We examine several typical assumptions for iterated revision operations with an ontology where an agent assigns ordinals to beliefs, representing strength or firmness of beliefs. A notion of minimal change is introduced to express the idea that if no evidence to show how a belief set should be reordered after it is revised, the changes on the ordering should be minimal. It has been shown that under the assumption of minimal change, the multiple version of Darwiche and Pearl's postulate (C1) holds no matter in what degree new information is accepted. Moreover, under the same assumption, Boutilier's postulate (CB) holds if and only if new information is always accepted in the lowest degree of firmness while Nayak et al.'s postulate (CN) holds if and only if new information is always accepted in the highest degree. These results provide an ontological base for analyzing the rationality of postulates of iterated belief revision.
| Original language | English |
|---|---|
| Title of host publication | Logic Programming and Nonmonotonic Reasoning |
| Editors | Ilkka Niemela, Vladimir Lifschitz |
| Publisher | Springer Verlag |
| Pages | 314-325 |
| Number of pages | 12 |
| ISBN (Electronic) | 354020721X, 9783540207214 |
| Publication status | Published - 2004 |
| Event | 7th International Conference on Logic Programming and Nonmonotonic Reasoning , LPNMR 2004 - Fort Lauderdale, United States Duration: 6 Jan 2004 → 8 Jan 2004 |
Publication series
| Name | Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) |
|---|---|
| Volume | 2923 |
| ISSN (Print) | 0302-9743 |
Conference
| Conference | 7th International Conference on Logic Programming and Nonmonotonic Reasoning , LPNMR 2004 |
|---|---|
| Country/Territory | United States |
| City | Fort Lauderdale |
| Period | 6/01/04 → 8/01/04 |
Bibliographical note
Publisher Copyright:© Springer-Verlag Berlin Heidelberg 2004.
Keywords
- Belief revision
- Iterated belief revision
- Multiple belief revision
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