Capturing designer expertise the CGEN system

Authors:
W. P. Birmingham;D. P. Siewiorek
Affiliations:
Advanced Computer Architecture Laboratory, Electrical Engineering and Computer Science Department, University of Michigan, Ann Arbor, Michigan;Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania
Venue:
DAC '89 Proceedings of the 26th ACM/IEEE Design Automation Conference
Year:
1989

Citing 4
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Abstract

Knowledge-based systems are becoming pervasive in the computer-aided design area. For these systems to achieve satisfactory levels of performance large amounts of knowledge are necessary; however, the acquisition of knowledge is a difficult task. Automated knowledge-acquisition tools (AKAT) provide capabilities for quickly building and maintaining knowledge-bases. This paper describes CGEN, a tool which allows hardware designers, unfamiliar with artificial intelligence, to deposit their expertise into a knowledge-base. A set of experiments which tested CGEN's capabilities are presented. The experiments demonstrate hardware designers can produce high quality knowledge-bases using CGEN.