The general objectives of the NASA/UCF Automated Knowledge Generation Project were the development of an intelligent software system that could access CAD design data bases, interpret them, and generate a diagnostic knowledge base in the form of a system model. The initial area of concentration is in the diagnosis of the process control system using the Knowledge-based Autonomous Test Engineer (KATE) diagnostic system. A secondary objective was the study of general problems of automated knowledge generation. A prototype was developed, based on object-oriented language (Flavors).


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    Title :

    Automated knowledge generation


    Contributors:

    Publication date :

    1988-09-28


    Type of media :

    Report


    Type of material :

    No indication


    Language :

    English


    Keywords :


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