Capturing designer expertise the CGEN system

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.

REFERENCES

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INDEX TERMS

Primary Classification:
  I. Computing Methodologies
  I.2 ARTIFICIAL INTELLIGENCE

Additional Classification:
  I. Computing Methodologies
  I.2 ARTIFICIAL INTELLIGENCE
      I.2.6 Learning
          Subjects: Knowledge acquisition

  J. Computer Applications

General Terms:
Design, Experimentation, Theory