Iterated belief change

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Title Iterated belief change
Author Ghose, Aditya K.; Hadjinian, Pablo O.; Sattar, Abdul; You, Jia-H.; Goebel, Randy
Journal Name Computational Intelligence: An International Journal
Editor Dekang Lin, Randy Goebel, Russell Greiner
Year Published 2004
Place of publication United States
Publisher Blackwell Publishing, Inc.
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.
Peer Reviewed Yes
Published Yes
Publisher URI http://www.blackwell-synergy.com/doi/abs/10.1111/j.0824-7935.2004.t01-1-00229.x
Alternative URI http://www.blackwell-synergy.com/links/doi/10.1111%2Fj.0824-7935.2004.t01-1-00229.x
Copyright Statement Copyright 2004 Blackwell Publishing. The definitive version is available at [www.blackwell-synergy.com.]
Volume 20
Issue Number 1
Page from 37
Page to 54
ISSN 0824-7935
Date Accessioned 2005-04-04
Language en_AU
Research Centre Institute for Integrated and Intelligent Systems
Faculty Faculty of Engineering and Information Technology
Subject Other Artificial Intelligence
URI http://hdl.handle.net/10072/5149
Publication Type Journal Articles (Refereed Article)
Publication Type Code c1

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