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Iterated Belief Change.

Authors :
Ghose, Aditya K.
Hadjinian, Pablo O.
Sattar, Abdul
You, Jia-H.
Goebel, Randy
Source :
Computational Intelligence; Feb2004, Vol. 20 Issue 1, p37-55, 19p
Publication Year :
2004

Abstract

Most existing formalizations treat belief change as a single-step process, and ignore several problems that become important when a theory, or belief state, is revised over several steps. This paper identifies these problems, and argues for the need to retain all of the multiple possible outcomes of a belief change step, and for a framework in which the effects of a belief change step persist as long as is consistently possible. To demonstrate that such a formalization is indeed possible, we develop a framework, which uses the language of PJ-default logic (Delgrande and Jackson 1991) to represent a belief state, and which enables the effects of a belief change step to persist by propagating belief constraints. Belief change in this framework maps one belief state to another, where each belief state is a collection of theories given by the set of extensions of the PJ-default theory representing that belief state. Belief constraints do not need to be separately recorded; they are encoded as clearly identifiable components of a PJ-default theory. The framework meets the requirements for iterated belief change that we identify and satisfies most of the AGM postulates (Alchourrón, Gärdenfors, and Makinson 1985) as well. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
08247935
Volume :
20
Issue :
1
Database :
Complementary Index
Journal :
Computational Intelligence
Publication Type :
Academic Journal
Accession number :
12063323
Full Text :
https://doi.org/10.1111/j.0824-7935.2004.t01-1-00229.x