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Belief updating from integrity constraints and queries

โœ Scribed by Luc De Raedt; Maurice Bruynooghe


Publisher
Elsevier Science
Year
1992
Tongue
English
Weight
962 KB
Volume
53
Category
Article
ISSN
0004-3702

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โœฆ Synopsis


It is argued that the problems of intensional knowledge base updating and incremental concept-learning--when formulated in a logical framework--can be understood as instances of the more general problem of belief updating. This insight allows interesting crossfertilization between both areas. To support this claim, we sketch a simple extension of Shapiro's Model Inference System that solves the belief updating problem within a restricted subset of first order logic. This extension uses integrity constraints and allows for the assertion of non-unit clauses. The former generalizes the use of examples in conceptlearning whereas the latter generalizes the set of revisions considered in knowledge base updating.


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