Artificial Intelligence, Simulation, and Modeling

Lawrence E. Widman and Kenneth A. Loparo
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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

Interfaces, 1990, vol. 20, issue 2, 48-66

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.

Keywords: computer system design and operation; artificial intelligence; simulation (search for similar items in EconPapers)
Date: 1990
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Persistent link: https://EconPapers.repec.org/RePEc:inm:orinte:v:20:y:1990:i:2:p:48-66

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