Main Issues in Belief Revision, Belief ...
Type de document :
Partie d'ouvrage
Titre :
Main Issues in Belief Revision, Belief Merging and Information Fusion
Auteur(s) :
Dubois, Didier [Auteur]
Argumentation, Décision, Raisonnement, Incertitude et Apprentissage [IRIT-ADRIA]
Centre National de la Recherche Scientifique [CNRS]
Everaere, Patricia [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Konieczny, Sébastien [Auteur]
Centre de Recherche en Informatique de Lens [CRIL]
Papini, Odile [Auteur]
Laboratoire d'Informatique et des Systèmes [LIS]
Argumentation, Décision, Raisonnement, Incertitude et Apprentissage [IRIT-ADRIA]
Centre National de la Recherche Scientifique [CNRS]
Everaere, Patricia [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Konieczny, Sébastien [Auteur]
Centre de Recherche en Informatique de Lens [CRIL]
Papini, Odile [Auteur]
Laboratoire d'Informatique et des Systèmes [LIS]
Titre de l’ouvrage :
A Guided Tour of Artificial Intelligence Research
Éditeur :
Springer
Date de publication :
2020
ISBN :
978-3-030-06163-0
Discipline(s) HAL :
Informatique [cs]/Système multi-agents [cs.MA]
Informatique [cs]/Modélisation et simulation
Informatique [cs]/Intelligence artificielle [cs.AI]
Informatique [cs]/Modélisation et simulation
Informatique [cs]/Intelligence artificielle [cs.AI]
Résumé en anglais : [en]
This chapter focuses on the dynamics of information represented in logical or numerical formats, from pioneering works to recent developments. The logical approach to belief change is a topic that has been extensively ...
Lire la suite >This chapter focuses on the dynamics of information represented in logical or numerical formats, from pioneering works to recent developments. The logical approach to belief change is a topic that has been extensively studied in Artificial Intelligence, starting in the mid-seventies. In this problem, logical formulas represent beliefs held by an intelligent agent that must be revised upon receiving new information that conflicts with prior beliefs and usually has priority over them. In contrast, in the merging problem, the logical theories that must be combined have equal priority. Such logical approaches recalled here make sense for merging beliefs as well as goals, even if each of these problems cannot be reduced to the other. In the last part, we discuss a number of issues pertaining to the fusion and the revision of uncertainty functions representing epistemic states, such as probability measures, possibility measures and belief functions. The need to cope with logical inconsistency plays a major role in these problems. The ambition of this chapter is not to provide an exhaustive bibliography, but rather to propose an overview of basic notions, main results and new research issues in this area.Lire moins >
Lire la suite >This chapter focuses on the dynamics of information represented in logical or numerical formats, from pioneering works to recent developments. The logical approach to belief change is a topic that has been extensively studied in Artificial Intelligence, starting in the mid-seventies. In this problem, logical formulas represent beliefs held by an intelligent agent that must be revised upon receiving new information that conflicts with prior beliefs and usually has priority over them. In contrast, in the merging problem, the logical theories that must be combined have equal priority. Such logical approaches recalled here make sense for merging beliefs as well as goals, even if each of these problems cannot be reduced to the other. In the last part, we discuss a number of issues pertaining to the fusion and the revision of uncertainty functions representing epistemic states, such as probability measures, possibility measures and belief functions. The need to cope with logical inconsistency plays a major role in these problems. The ambition of this chapter is not to provide an exhaustive bibliography, but rather to propose an overview of basic notions, main results and new research issues in this area.Lire moins >
Langue :
Anglais
Audience :
Internationale
Vulgarisation :
Non
Collections :
Source :