Publication:
Comparing combat models using analytical surrogates.

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Authors
Green, John R.
Subjects
Combat Models
Simulated Annealing
Regression
Difference Equations
Stochastic Models
Advisors
Barr, Donald R.
Date of Issue
1991-06
Date
Publisher
Monterey, California. Naval Postgraduate School
Language
en_US
Abstract
The widespread availability of inexpensive high-speed computers has led to the development of complex, detailed technical models of combat. These high resolution computer simulations and wargames are touted by their proponents as low-cost alternatives to extensive, high-cost field training exercises for the training of combat leaders. The validity of these simulations as models of combat, and thus as useful training tools is unproven. Direct comparison of simulations with field training exercises is often frustrated by the inherent complexities in each, and the shortage of quality data from field exercises. This thesis examines the feasibility of comparing these systems indirectly through the use of surrogate analytical models. A simple discrete time stochastic surrogate model is examined. Techniques for using the surrogate model to compare battle data are studied using simulated data from a simple combat model. Areas for further research are discussed. Combat models, Simulated annealing, Regression, Difference equations, Stochastic models
Type
Thesis
Description
Series/Report No
Department
Operations Research
Applied Mathematics
Organization
Naval Postgraduate School
Identifiers
NPS Report Number
Sponsors
Funder
Format
82 p.;28 cm.
Citation
Distribution Statement
Approved for public release; distribution is unlimited.
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