Skip to Main content Skip to Navigation
Conference papers

Hybrid Possibilistic Conditioning for Revision under Weighted Inputs

Abstract : We propose and investigate new operators in the possi-bilistic belief revision setting, obtained as different combinations of the conditioning operators on models and countermodels, as well as of how weighted inputs are interpreted. We obtain a family of eight operators that essentially obey the basic postulates of revision, with a few slight differences. These operators show an interesting variety of behaviors, making them suitable to representing changes in the beliefs of an agent in different contexts.
Complete list of metadatas

Cited literature [12 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-01328664
Contributor : Célia da Costa Pereira <>
Submitted on : Wednesday, June 8, 2016 - 12:01:03 PM
Last modification on : Tuesday, May 26, 2020 - 6:50:56 PM

File

ecai2012.pdf
Files produced by the author(s)

Identifiers

Collections

Citation

Salem Benferhat, Célia da Costa Pereira, Andrea G. B. Tettamanzi. Hybrid Possibilistic Conditioning for Revision under Weighted Inputs. ECAI , Aug 2012, Montpellier, France. pp.151-156, ⟨10.3233/978-1-61499-098-7-151⟩. ⟨hal-01328664⟩

Share

Metrics

Record views

178

Files downloads

111