Generalization of Clauses under Implication

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Generalization of Clauses under Implication

In the area of inductive learning, generalization is a main operation, and the usual deenition of induction is based on logical implication. Recently there has been a rising interest in clausal representation of knowledge in machine learning. Almost all inductive learning systems that perform generalization of clauses use the relation-subsumption instead of implication. The main reason is that ...

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In the area of inductive learning, generalization is a main operation, and the usual deenition of induction is based on logical implication. Recently there has been a rising interest in clausal representation of knowledge in machine learning. Almost all inductive learning systems that perform generalization of clauses use the relation-subsumption instead of implication. The main reason is that ...

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The present paper discusses a generalization operator based on the-subsumption ordering between Horn clauses introduced by the author elsewhere. It has been shown that-subsumption is strictly stronger than-subsumption and a local equivalent of generalized subsumption. With some language restrictions it is decidable and possesses some other useful properties. Most importantly it allows deening a...

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In the area of inductive learning, generalization is the main operation, and the usual definition of induction is based on logical implication. Plotkin's well-known technique for computing least general generalizations of clauses under θ-subsumption sometimes produces results which are too general with respect to implication. Muggleton has shown that this problem only occurs in one type of gene...

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ژورنال

عنوان ژورنال: Journal of Artificial Intelligence Research

سال: 1995

ISSN: 1076-9757

DOI: 10.1613/jair.194