Chandler, Jake and Booth, Richard ORCID: https://orcid.org/0000-0002-6647-6381
2020.
Revision by conditionals: from hook to arrow.
Presented at: 17th International Conference on Principles of Knowledge Representation and Reasoning (KR 2020),
Rhodes, Greece,
12-18 September 2020.
Published in: Calvanese, D., Erdem, E. and Theilscher, M. eds.
Proceedings of the 17th International Conference on Principles of Knowledge Representation and Reasoning.
IJCAI,
pp. 232-241.
|
Preview |
PDF
- Accepted Post-Print Version
Download (322kB) | Preview |
Abstract
Thebeliefrevisionliteraturehaslargelyfocussedontheissue of how to revise one’s beliefs in the light of information regardingmattersoffact.Hereweturntoanimportantbutcomparatively neglected issue: How might one extend a revision operatortohandleconditionalsasinput?Ourapproachtothis question of ‘conditional revision’ is distinctive insofar as it abstracts from the controversial details of how to revise by factual sentences. We introduce a ‘plug and play’ method for uniquelyextendinganyiteratedbeliefrevisionoperatortothe conditional case. The flexibility of our approach is achieved by having the result of a conditional revision by a Ramsey Test conditional (‘arrow’) determined by that of a plain revision by its corresponding material conditional (‘hook’). It is shown to satisfy a number of new constraints that are of independent interest.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Date Type: | Publication |
| Status: | Published |
| Schools: | Schools > Computer Science & Informatics |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Publisher: | IJCAI |
| ISBN: | 9781713825982 |
| Date of First Compliant Deposit: | 2 July 2020 |
| Date of Acceptance: | 3 June 2020 |
| Last Modified: | 24 Sep 2025 09:30 |
| URI: | https://orca.cardiff.ac.uk/id/eprint/132903 |
Citation Data
Cited 1 time in Scopus. View in Scopus. Powered By Scopus® Data
Actions (repository staff only)
![]() |
Edit Item |





Download Statistics
Download Statistics