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  1. Propositional knowledge base revision and minimal change.Hirofumi Katsuno & Alberto O. Mendelzon - 1991 - Artificial Intelligence 52 (3):263-294.
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  • Social Choice and Individual Values.Irving M. Copi - 1952 - Science and Society 16 (2):181-181.
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  • Infobase change: A first approximation. [REVIEW]Thomas Andreas Meyer, Willem Adrian Labuschagne & Johannes Heidema - 2000 - Journal of Logic, Language and Information 9 (3):353-377.
    Generalisations of theory change involving operations on arbitrary sets ofwffs instead of on belief sets (i.e., sets closed under a consequencerelation), have become known as base change. In one view, a base should bethought of as providing more structure to its generated belief set, whichmeans that it can be employed to determine the theory contraction operationassociated with a base contraction operation. In this paper we follow suchan approach as the first step in defining infobase change. We think of an infobase (...)
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  • On the logic of iterated belief revision.Adnan Darwiche & Judea Pearl - 1997 - Artificial Intelligence 89 (1-2):1-29.
    We show in this paper that the AGM postulates are too weak to ensure the rational preservation of conditional beliefs during belief revision, thus permitting improper responses to sequences of observations. We remedy this weakness by proposing four additional postulates, which are sound relative to a qualitative version of probabilistic conditioning. Contrary to the AGM framework, the proposed postulates characterize belief revision as a process which may depend on elements of an epistemic state that are not necessarily captured by a (...)
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  • Iterated belief change based on epistemic entrenchment.Abhaya C. Nayak - 1994 - Erkenntnis 41 (3):353-390.
    In this paper it is argued that, in order to solve the problem of iterated belief change, both the belief state and its input should be represented as epistemic entrenchment (EE) relations. A belief revision operation is constructed that updates a given EE relation to a new one in light of an evidential EE relation. It is shown that the operation in question satisfies generalized versions of the Gärdenfors revision postulates. The account offered is motivated by Spohn's ordinal conditionalization functions, (...)
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  • Integration of weighted knowledge bases.Jinxin Lin - 1996 - Artificial Intelligence 83 (2):363-378.
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