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Some Problems and Proposals for Knowledge Representation.
CALIFORNIA UNIV BERKELEY DEPT OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCE
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Knowledge representation is widely regarded as a central problem in artificial intelligence. However, there appears to be no convergence of opinion as to the form a knowledge representation system should take, the principles it should embody, or even what its goal should be. While progress in the past decade has led to a number of interesting theories and useful programming formalisms, this research has also raised doubts about the adequacy of the foundations of many of these ideas. This paper presents some observations about the knowledge representation schemes now in common use. Some of these observations are critiques of these schemes, or extensions of critiques made by others. To remedy some of these problems, a new theory of knowledge representation is proposed. The theory attempts to encompass representational ideas that have emerged from different schools of thought, in particular from work in semantic networks, frames, frame semantics, and Conceptual Dependency.
APPROVED FOR PUBLIC RELEASE