AustralieFrV1, Main, Exploration, bibRecord, 007C75

A General Framework for Revising Belief Bases Using Qualitative Jeffrey’s Rule

Identifieur interne : 007C75 ( Main/Exploration ); précédent : 007C74; suivant : 007C76

A General Framework for Revising Belief Bases Using Qualitative Jeffrey’s Rule

Auteurs : Salem Benferhat [France] ; Didier Dubois [France] ; Henri Prade [France] ; Mary-Anne Williams [Australie]

Source :

Lecture Notes in Computer Science [ 0302-9743 ] ; 2009.

RBID : ISTEX:E7F04791064D7AC18447FF618A4FB91954A75AEC

English descriptors

Abstract

Abstract: Intelligent agents require methods to revise their epistemic state as they acquire new information. Jeffrey’s rule, which extends conditioning to uncertain inputs, is currently used for revising probabilistic epistemic states when new information is uncertain. This paper analyses the expressive power of two possibilistic counterparts of Jeffrey’s rule for modeling belief revision in intelligent agents. We show that this rule can be used to recover most of the existing approaches proposed in knowledge base revision, such as adjustment, natural belief revision, drastic belief revision, revision of an epistemic by another epistemic state. In addition, we also show that that some recent forms of revision, namely improvement operators, can also be recovered in our framework.

Url:

https://api.istex.fr/document/E7F04791064D7AC18447FF618A4FB91954A75AEC/fulltext/pdf

DOI: 10.1007/978-3-642-04125-9_64

Affiliations:

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Le document en format XML

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A General Framework for Revising Belief Bases Using Qualitative Jeffrey’s Rule

A General Framework for Revising Belief Bases Using Qualitative Jeffrey’s Rule

Source :

English descriptors

Abstract

Links toward previous steps (curation, corpus...)

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri