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The Simulation Metamodel
     

The Simulation Metamodel

by Linda Weiser Friedman
 
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 metamodeling can be used to help build a simulation study based on a complex model. A metamodel is a simpler, analytical model, auxiliary to the

Overview

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 metamodeling can be used to help build a simulation study based on a complex model. A metamodel 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.
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.

Editorial Reviews

Booknews
Explains the principles, techniques, and some applications of creating a simple model based on mathematical functions to interpret the large and complex computer simulations now being used in scientific research. Part tutorial and part literature review, describes metamodels in the framework of a statistically designed simulation experiment that is abstract, dynamic, and stochastic. Annotation c. Book News, Inc., Portland, OR (booknews.com)

Product Details

ISBN-13:
9781461285564
Publisher:
Springer US
Publication date:
09/26/2011
Edition description:
Softcover reprint of the original 1st ed. 1996
Pages:
202
Product dimensions:
6.10(w) x 9.25(h) x 0.02(d)

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