Accession Number:

ADA172909

Title:

Some Problems and Proposals for Knowledge Representation.

Descriptive Note:

Technical rept.,

Corporate Author:

CALIFORNIA UNIV BERKELEY DEPT OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCE

Personal Author(s):

• Wilensky, Robert

Report Date:

1984-01-01

Pagination or Media Count:

49.0

Abstract:

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.

Descriptors:

• *COMPUTER PROGRAMMING
• SEMANTICS
• ARTIFICIAL INTELLIGENCE
• MAPPING
• TAXONOMY
• INFORMATION PROCESSING

Subject Categories:

• Computer Programming and Software

Distribution Statement:

APPROVED FOR PUBLIC RELEASE