Proceedings:
Proceedings of the AAAI Conference on Artificial Intelligence, 5
Volume
Issue:
Science
Track:
Learning
Downloads:
Abstract:
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.
AAAI
Science