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  Updating knowledge bases using a persistent set approach (1994) [2 citations — 2 self]

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by Yan Zhang, Norman Y. Foo
in Proceedings of the 6th International Conference on Artificial Intelligence: Methodology, Systems, Applications, World Scientific
ftp://ftp.cs.su.oz.au/ksg/conference/update-aimsa94.ps.Z
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Abstract:

Propositional knowledge base updates have been widely studied recently. Katsuno and Mendelzon suggested eight postulates for characterizing the semantics of update where the principle of minimal change is embedded [5]. In this paper we propose a new method for knowledge base update called the persistent set approach (PSA). We examine the relations between the two different update semantics by investigating the satisfiability of Katsuno and Mendelzon's update postulates under our persistent update semantics. We then extend the PSA to represent preference information so that the preferred solution can be derived by the extended PSA. 1

Citations

239 Reasoning about action using a possible models approach – Winslett - 1988
236 Knowledge in Flux – GĂ„RDENFORS - 1988
184 Investigations into a theory of knowledge base revision: Preliminary Report – Dalal - 1988
60 A Model-Based Belief Revision System – Chou, Winslett - 1994
38 Updating propositional formulas – Weber - 1986
37 On the Difference between Updating a Knowledge Database and Revising It – Katsuno, Mendelzon - 1991
21 Reasoning about persistence: A theory of actions – Zhang, Foo - 1993
13 Syntactic characterizations of belief change operators – Val - 1993
9 Circumscriptive semantics for updating knowledge bases – Winslett - 1991