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ERIC Number: ED264885
Record Type: Non-Journal
Publication Date: 1985-Jun
Pages: 83
Abstractor: N/A
Reference Count: N/A
ISBN: N/A
ISSN: N/A
Heuristic Classification. Technical Report Number 12.
Clancey, William J.
A broad range of well-structured problems--embracing forms of diagnosis, catalog selection, and skeletal planning--are solved in expert computer systems by the method of heuristic classification. These programs have a characteristic inference structure that systematically relates data to a pre-enumerated set of solutions by abstraction, heuristic association, and refinement. In contrast to previous descriptions of classification reasoning, particularly in psychology, this analysis emphasizes the role of a heuristic in routine problem solving as a non-hierarchical, direct association between concepts. In contrast with other descriptions of expert systems, this analysis specifies the knowledge needed to solve a problem, independent of its representation in a particular computer language. The heuristic classification problem-solving model provides a useful framework for characterizing kinds of problems, for designing representation tools, and for understanding non-classification (constructive) problem-solving methods. This 12-part report includes the following sections: (1) Introduction; (2) The Heuristic Classification Method Defined; (3) Examples of Heuristic Classification; (4) Understanding Heuristic Classification; (5) Analysis of Problem Types in Terms of Systems; (6) Inference Strategies for Heuristic Classification; (7) Constructive Problem Solving, An Introduction; (8) Relating Tools, Methods, and Tasks; (9) Knowledge-Level Analysis; (10) Related Analyses in Psychology and Artificial Intelligence; (11) Summary of Key Observations; and (12) Implications. Six pages of references complete the document. (Author/THC)
Publication Type: Information Analyses; Opinion Papers; Reports - Descriptive
Education Level: N/A
Audience: Researchers
Language: English
Sponsor: Office of Naval Research, Arlington, VA. Personnel and Training Research Programs Office.; Josiah Macy, Jr. Foundation, New York, NY.
Authoring Institution: Stanford Univ., CA. Dept. of Computer Science.