Title :
Capturing Designer Expertise The CGEN System
Author :
Birmingham, William P. ; Siewiorek, Daniel P.
Author_Institution :
Advanced Computer Architecture Laboratory, Electrical Engineering and Computer Science Department, University of Michigan, Ann Arbor, MI
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.
Keywords :
Artificial intelligence; Buildings; Computer architecture; Design automation; Hardware; Knowledge based systems; Knowledge engineering; Laboratories; Permission; Problem-solving;
Conference_Titel :
Design Automation, 1989. 26th Conference on
Print_ISBN :
0-89791-310-8
DOI :
10.1109/DAC.1989.203469