• Toward a general theory of con...

Treffer: Toward a general theory of conditional beliefs

Title:
Toward a general theory of conditional beliefs
Authors:
COLETTI, Giulianella, SCOZZAFAVA, Romano
Source:
Uncertainty processingInternational journal of intelligent systems. 21(3):229-259
Publisher Information:
New York, NY: Wiley, 2006.
Publication Year:
2006
Physical Description:
print, 15 ref
Original Material:
INIST-CNRS
Subject Terms:
Computer science, Informatique, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Informatique; automatique theorique; systemes, Computer science; control theory; systems, Informatique théorique, Theoretical computing, Fonctions logiques, booléennes et de commutation, Logical, boolean and switching functions, Intelligence artificielle, Artificial intelligence, Apprentissage et systèmes adaptatifs, Learning and adaptive systems, Approche probabiliste, Probabilistic approach, Enfoque probabilista, Croyance, Belief, Creencia, Fonction généralisée, Generalized function, Función generalizada, Incertitude, Uncertainty, Incertidumbre, Probabilité conditionnelle, Conditional probability, Probabilidad condicional, Raisonnement conditionnel, Conditional reasoning, Razonamiento condicional
Document Type:
Konferenz Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Dipartimento Matematica e Informatica, University of Perugia, Italy
Dipartimento Metodi e Modelli Matematici, University La Sapienza,, Roma, Italy
ISSN:
0884-8173
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=17583026
Rights:
Copyright 2006 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems
Accession Number:
edscal.17583026
Database:
PASCAL Archive

Weitere Informationen

We consider a class of general decomposable measures of uncertainty, which encompasses (as its most specific elements, with respect to the properties of the rules of composition) probabilities, and (as its most general elements) belief functions. The aim, using this general context, is to introduce (in a direct way) the concept of conditional belief function as a conditional generalized decomposable measure φ(·|·), defined on a set of conditional events. Our main tool will be the following result, that we prove in the first part of the article and which is a sort of converse of a well-known result (i.e., a belief function is a lower probability): a coherent conditional lower probability P(·|K) extending a coherent probability P(H, )-where the events His are a partition of the certain event Ω and K is the union of some (possibly all) of them-is a belief function.