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Related Experiment Videos

An expert systems facility for mumps.

K C O'Kane

    Computers in Biology and Medicine
    |January 1, 1986
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces Mumps language extensions for expert systems, integrating Prolog features with Mumps databases. An experimental C interpreter for Unix demonstrates the feasibility of this approach for enhanced system development.

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    Area of Science:

    • Computer Science
    • Artificial Intelligence
    • Programming Languages

    Background:

    • The Mumps programming language traditionally lacks features for complex expert system development.
    • Integrating symbolic reasoning capabilities into existing database-centric languages is a significant challenge.

    Purpose of the Study:

    • To describe novel extensions to the Mumps language designed to facilitate the creation of expert systems.
    • To leverage the Prolog language's logic programming paradigm within the Mumps environment.
    • To utilize the Mumps global array database for storing and managing expert system knowledge.

    Main Methods:

    • Development of Mumps language extensions inspired by Prolog syntax and semantics.
    • Integration of these extensions with the Mumps global array database for data persistence.

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  • Implementation of an experimental interpreter for the extended Mumps language using the C programming language.
  • Deployment and testing of the interpreter within the Unix operating system environment.

    • Main Results:

    • Successful definition and implementation of Mumps language extensions enabling expert system construction.
    • Demonstration of seamless utilization of the Mumps global array database for expert system knowledge representation.
    • Creation of a functional C-based interpreter for the extended Mumps language on Unix.

    Conclusions:

    • The proposed Mumps language extensions effectively bridge the gap between database management and expert system development.
    • The integration with Prolog principles offers a powerful new paradigm for building intelligent systems in the Mumps environment.
    • The experimental Unix implementation validates the practical applicability and performance of the extended Mumps language for expert systems.