Heuristic Classification. Technical Report Number 12.

Autor/in	Clancey, William J.
Institution	Stanford Univ., CA. Dept. of Computer Science.
Titel	Heuristic Classification. Technical Report Number 12.
Quelle	(1985), (83 Seiten) PDF als Volltext kostenfreie Datei Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Monographie
Schlagwörter	Stellungnahme; Artificial Intelligence; Classification; Computer Oriented Programs; Computer Science; Graphs; Heuristics; Information Systems; Logical Thinking; Models; Position Papers; Problem Solving; Scientific Research; Systems Approach + Suchen Sie Ihr Suchwort? Künstliche Intelligenz; Classification system; Klassifikation; Klassifikationssystem; Computerprogramm; Informatik; Grafische Darstellung; Heuristik; Analogiemodell; Positionspapier; Problemlösen; Systemischer Ansatz
Abstract	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)
Erfasst von	ERIC (Education Resources Information Center), Washington, DC