IDEAS home Printed from https://ideas.repec.org/a/inm/orinte/v20y1990i2p48-66.html
   My bibliography  Save this article

Artificial Intelligence, Simulation, and Modeling

Author

Listed:
  • Lawrence E. Widman

    (Division of Cardiology, University of Texas Health Science Center and Research Service, Audie L. Murphy Memorial Veterans' Hospital, San Antonio, Texas 78284)

  • Kenneth A. Loparo

    (Department of Systems Engineering and Center for Automation and Intelligent Systems Research, Case Western Reserve University, Cleveland, Ohio 44106)

Abstract

Artificial intelligence and simulation overlap increasingly as computer hardware prices fall and software sophistication increases. Artificial intelligence programming methods permit more realistic and robust simulation models and help the user develop, run, and interpret simulation experiments. Simulation algorithms permit expert systems to reason about complex models that change over time or include interacting stochastic elements. This article describes basic concepts in artificial intelligence and highlights expected benefits in each field over the next decade.

Suggested Citation

  • Lawrence E. Widman & Kenneth A. Loparo, 1990. "Artificial Intelligence, Simulation, and Modeling," Interfaces, INFORMS, vol. 20(2), pages 48-66, April.
    • Handle: RePEc:inm:orinte:v:20:y:1990:i:2:p:48-66
    DOI: 10.1287/inte.20.2.48
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/inte.20.2.48
    Download Restriction: no
    File URL: https://libkey.io/10.1287/inte.20.2.48?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:inm:orinte:v:20:y:1990:i:2:p:48-66. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.