A Metalinguistic Approach to the Construction of Knowledge Base Refinement Systems

Allen Ginsberg

A variety of approaches to knowledge base refinement [3, 8] and rule acquisition [4] have appeared recently. This paper is concerned with the means by which alternative refinement systems themselves may be specified, developed, and studied. The anticipated virtues of taking a metalinguistic approach to these tasks are described, and shown to be confirmed by experience with an actual refinement metalanguage, RM.

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