The Simulation Metamodel /

Researchers develop simulation models that emulate real-world situations. While these simulation models are simpler than the real situation, they are still quite complex and time consuming to develop. It is at this point that <em>metamodeling</em> can be used to help build a simulation s...

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Bibliographic Details
Main Author: Friedman, Linda Weiser
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: Boston, MA : Springer US, 1996.
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Online Access:Connect to the full text of this electronic book
Description
Summary:Researchers develop simulation models that emulate real-world situations. While these simulation models are simpler than the real situation, they are still quite complex and time consuming to develop. It is at this point that <em>metamodeling</em> can be used to help build a simulation study based on a complex model. A <em>metamodel</em> is a simpler, analytical model, auxiliary to the simulation model, which is used to better understand the more complex model, to test hypotheses about it, and provide a framework for improving the simulation study. <br/> The use of metamodels allows the researcher to work with a set of mathematical functions and analytical techniques to test simulations without the costly running and re-running of complex computer programs. In addition, metamodels have other advantages, and as a result they are being used in a variety of ways: model simplification, optimization, model interpretation, generalization to other models of similar systems, efficient sensitivity analysis, and the use of the metamodel's mathematical functions to answer questions about different variables within a simulation study.
Item Description:Electronic resource.
Physical Description:1 online resource (224 pages)
ISBN:9781461312994 (electronic bk.)
146131299X (electronic bk.)