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ERIC Number: ED252408
Record Type: RIE
Publication Date: 1984-Jul
Pages: 31
Abstractor: N/A
Reference Count: 0
Classification Problem Solving.
Clancey, William J.
In an attempt to specify in some canonical terms what many heuristic programs known as "expert systems" do, an analysis was made of ten rule-based systems. It was found that these programs proceed through easily identifiable phases of data abstraction, heuristic mapping onto a hierarchy of pre-enumerated solutions, and refinement within this hierarchy: that is, they do classification. Focusing on content rather than representational technology, this paper proposes a set of terms and relations for describing the knowledge used to solve a problem by classification. Then the model used in analyzing the programs MYCIN, SACON, GRUNDY, and SOPHIE III is described and illustrated. These programs have a characteristic inference structure; moreover, this level of description specifies the knowledge needed to solve a problem, independent of its representation in a particular computer language. The classification problem-solving model provides a useful framework for recognizing and representing similar problems, for designing representation tools, and for understanding the problem-solving methods used by non-classification programs. (MNS)
Publication Type: Reports - General
Education Level: N/A
Audience: N/A
Language: English
Sponsor: Office of Naval Research, Arlington, VA. Personnel and Training Research Programs Office.
Authoring Institution: Stanford Univ., CA. Dept. of Computer Science.