Hybrid Possibilistic Conditioning for Revision under Weighted Inputs - Archive ouverte HAL
Communication Dans Un Congrès Année : 2012

Hybrid Possibilistic Conditioning for Revision under Weighted Inputs

Résumé

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.
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Dates et versions

hal-01328664 , version 1 (08-06-2016)

Identifiants

Citer

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⟩
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