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PDF pending restorationClancey, William J. – 1986
This paper reviews the research leading from the GUIDON rule-based tutoring system, including the reconfiguration of MYCIN into NEOMYCIN and NEOMYCIN's generalization into the heuristic classification shell, HERACLES. The presentation is organized chronologically around pictures and dialogues that represent turning points and crystallize the basic…
Descriptors: Artificial Intelligence, Classification, Computer System Design, Expert Systems
PDF pending restorationClancey, William J.; Bock, Conrad – 1985
A poorly designed knowledge base can be as cryptic as an arbitrary program and just as difficult to maintain. Representing inference procedures abstractly, separately from domain facts and relations, makes the design more transparent and explainable. The combination of abstract procedures and relational language for organizing domain knowledge…
Descriptors: Classification, Computer System Design, Expert Systems, Identification
PDF pending restorationClancey, William J. – 1986
The concept of a qualitative model provides a unifying perspective for understanding how expert systems differ from conventional programs. Knowledge bases contain qualitative models of systems in the world, that is, primarily non-numeric descriptions that provide a basis for explaining and predicting behavior and formulating action plans. The…
Descriptors: Computer Simulation, Computer System Design, Expert Systems, Inferences
PDF pending restorationThompson, Timothy F.; Clancey, William J. – 1986
This report describes the application of a shell expert system from the medical diagnostic system, Neomycin, to Caster, a diagnostic system for malfunctions in industrial sandcasting. This system was developed to test the hypothesis that starting with a well-developed classification procedure and a relational language for stating the…
Descriptors: Artificial Intelligence, Classification, Clinical Diagnosis, Computer System Design
Download full textClancey, William J. – 1986
This survey of intelligent tutoring systems describes the components of these systems, different teaching scenarios, and the relation of these systems to a theory of instruction. It argues that the underlying pedagogical approach is to make latent knowledge manifest by using different forms of quantitative modeling: (1) simulating physical…
Descriptors: Computer Assisted Instruction, Computer Simulation, Computer System Design, Expert Systems
PDF pending restorationClancey, William J. – 1986
The concept of a qualitative model is used as the focus of this review of qualitative student models in order to compare alternative computational models and to contrast domain requirements. The report is divided into eight sections: (1) Origins and Goals (adaptive instruction, qualitative models of processes, components of an artificial…
Descriptors: Artificial Intelligence, Cognitive Structures, Computer Assisted Instruction, Computer System Design
