Enhanced Battle Dynamics for the Force Evaluation Model.

Abstract

The Combat Sample Generator Model (COSAGE) is being replaced by the Vector In Command model (VIC) as the feeder model to the Force Evaluation Model (FORCEM) at the US Army Concepts Analysis Agency (CAA). This thesis presents and analyzes the two general methodologies in use today for estimating the attrition coefficients in a high resolution model: the self contained model and parameter fit model. It offers the analyst a framework for taking the output reports generated by the VIC model and incorporating these into FORCEM, much as COSAGE's outputs are now currently inputted into FORCEM via the Attrition Calibration Model (ATCAL). This thesis focuses on the ability of VIC to enhance FORCEM. This includes VIC being able to compute nonconventional warfare results and carry these results through ATCAL into FORCEM. VIC also enhances the capability of FORCEM via ATCAL to predict battle results and is able to extract information about the dynamics of the battle in smaller than the present 12 hour time steps. Keywords: Mathematical models; Computer programs.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1987
Accession Number
ADA186928

Entities

People

  • Wallace A. Price

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Weapons Technologies

DTIC Thesaurus Topics

  • Artillery
  • Attrition
  • Calibration
  • Combat Simulations
  • Computational Science
  • Conventional Warfare
  • Differential Equations
  • High Resolution
  • Mathematical Models
  • Operations Research
  • Random Variables
  • Schools
  • United States
  • United States Military Academy
  • Warfare
  • Weapon Systems
  • Weapons Effects

Readers

  • Approximation Theory.
  • Computational Fluid Dynamics (CFD)
  • Defense Technology Research and Development.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - DoD AI Strategy