Discovering New Facts for First-Order Knowledge-Based Systems
Identifieur interne : 000904 ( Crin/Curation ); précédent : 000903; suivant : 000905Discovering New Facts for First-Order Knowledge-Based Systems
Auteurs : E. Kounalis ; M. RusinowitchSource :
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Abstract
In this paper we attempt to obtain a syntactical understanding of novelty in the realm of the first-order clausal logic and to give several methods for its operationalization. We shall be interested in incorporating sentences issued from generalization of examples and contreexamples into first-order theories. We shall be concerned with new facts with respect to two types of models\, : first-order models and minimal ones. This preference stems from the fact that these two classes of models provide a natural setting for learning since they specify almost everything about the ``real world'' of the first-order theories.
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