Constraint Mechanisms In Automated Knowledge Generation

    Authors

    M. Towhidnejad; H. R. Myler;A. J. Gonzalez

    Comments

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    Abbreviated Journal Title

    Appl. Artif. Intell.

    Keywords

    Computer Science, Artificial Intelligence; Engineering, Electrical &; Electronic

    Abstract

    In the past decade, the use of control and diagnostic reasoning systems in different areas of government, industry, and university operations has increased. A great number of these systems find their basis in engineering, specifically in process control. The majority of the time devoted to the development of these systems is spent in the areas of Knowledge Engineering (KE) and Knowledge Acquisition (KA). Extensive research for the development of systems that perform the KE task is under way. This article presents an approach toward automatic knowledge acquisition. The objective of this research was to construct a complete knowledge base for a diagnostic and control reasoning system from information that resides in Computer Aided Design (CAD) databases. This work will decrease the amount of time spent in the manual generation of knowledge bases for diagnostic reasoning systems. It will also enable the creation of more reliable knowledge bases since less hand coding is required.

    Journal Title

    Applied Artificial Intelligence

    Volume

    7

    Issue/Number

    2

    Publication Date

    1-1-1993

    Document Type

    Article

    Language

    English

    First Page

    113

    Last Page

    134

    WOS Identifier

    WOS:A1993LD77200001

    ISSN

    0883-9514

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