Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Credibility-limited improvement operators

Booth, Richard ORCID: https://orcid.org/0000-0002-6647-6381, Ferme, Eduardo, Konieczny, Sebastien and Pino Perez, Ramon 2014. Credibility-limited improvement operators. Presented at: 21st European Conference on Artificial Intelligence, Prague, Czech Republic, 18-22 August 2014. Published in: Schaub, Torsten, Friedrich, Gerhard and O'Sullivan, Barry eds. Frontiers in Artificial Intelligence and Applications: Volume 263: ECAI 2014. IOS Press, pp. 123-128. 10.3233/978-1-61499-419-0-123

[thumbnail of FAIA263-0123.pdf]
Preview
PDF - Published Version
Available under License Creative Commons Attribution.

Download (238kB) | Preview

Abstract

In this paper we introduce and study credibility-limited improvement operators. The idea is to accept the new piece of information if this information is judged credible by the agent, so in this case a revision is performed. When the new piece of information is not credible then it is not accepted (no revision is performed), but its plausibility is still improved in the epistemic state of the agent, similarly to what is done by improvement operators. We use a generalized definition of Darwiche and Pearl epistemic states, where to each epistemic state can be associated, in addition to the set of accepted formulas (beliefs), a set of credible formulas. We provide a syntactic and semantic characterization of these operators.

Item Type: Conference or Workshop Item - published (Paper)
Date Type: Publication
Status: Published
Schools: Schools > Computer Science & Informatics
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Publisher: IOS Press
ISBN: 978-1-61499-418-3
Related URLs:
Date of First Compliant Deposit: 22 April 2016
Date of Acceptance: 9 May 2014
Last Modified: 14 Sep 2026 13:25
URI: https://orca.cardiff.ac.uk/id/eprint/89687

Citation Data

Cited 2 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item

Downloads

Downloads per month over past year

View more statistics