Validation Of An Automated-System Model Generator

    Authors

    A. J. Gonzalez; H. R. Myler; F. D. McKenzie; M. Towhidnejad;R. R. Kladke

    Comments

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    Abbreviated Journal Title

    IEEE Trans. Knowl. Data Eng.

    Keywords

    AUTOMATED KNOWLEDGE ACQUISITION; MODEL-BASED REASONING; KNOWLEDGE-BASED; SYSTEMS; CONSTRAINT SATISFACTION; COMPUTER-AIDED DESIGN SYSTEMS; SIMULATION MODELS; Computer Science, Artificial Intelligence; Computer Science, Information; Systems; Engineering, Electrical & Electronic

    Abstract

    Modeling and simulation have always been highly useful techniques to use when designing, analyzing, or diagnosing an engineered system. Development of an appropriate model, in terms of accuracy, granularity, and complexity, has typically been the burden of the designer, analyst, or troubleshooter. It would naturally be advantageous if a model could be developed automatically, with the user supplying only some final minor refinements. The fact that most modern systems are designed in a computer-aided design (CAD) environment makes this a realistic prospect, because much of the data necessary for the model is already in electronic form. This article outlines a system called the automated knowledge generator (AKG), which embodies techniques that automatically create a model of an engineered system directly from its CAD representation, and describes the extensive testing process followed in order to validate its performance.

    Journal Title

    Ieee Transactions on Knowledge and Data Engineering

    Volume

    6

    Issue/Number

    4

    Publication Date

    1-1-1994

    Document Type

    Note

    Language

    English

    First Page

    643

    Last Page

    648

    WOS Identifier

    WOS:A1994PA60900012

    ISSN

    1041-4347

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