Comparing Combat Models Using Analytical Surrogates

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.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1991
Accession Number
ADA246996

Entities

People

  • John R. Green

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Energy and Power Technologies
  • Weapons Technologies

DTIC Thesaurus Topics

  • Anti-Tank Weapons
  • Applied Mathematics
  • Computational Science
  • Computer Programs
  • Computer Simulations
  • Computers
  • Differential Equations
  • Equations
  • High Resolution
  • Linear Programming
  • Mathematical Models
  • Operations Research
  • Probability
  • Random Variables
  • Training
  • United States
  • United States Military Academy

Readers

  • Computational Modeling and Simulation
  • Educational Psychology
  • Maritime Combat Support and Expeditionary Logistics.