Cover: Modeling for Campaign Analysis

Modeling for Campaign Analysis

Lessons for the Next Generation of Models: Executive Summary

Published 1996

by Richard Hillestad, Bart E. Bennett, Louis R. Moore


Download eBook for Free

FormatFile SizeNotes
PDF file 2.5 MB

Use Adobe Acrobat Reader version 10 or higher for the best experience.


Purchase Print Copy

 Format Price
Add to Cart Paperback33 pages $20.00

The U.S. military’s increasing use of computer modeling has clear benefits, among them the ability to better inform decisionmakers and reduced exercise costs. However, there are also some drawbacks that need to be overcome both in the models (many of which were developed with the Cold War and less-advanced technologies in mind) and the ways they are used (sometimes with unrealistic expectations or with inadequate analysis of the results). The authors discuss some of the significant challenges and offer suggestions for working through them to achieve not only a new generation of models but a new generation of analytic capability; educating analysts and decisionmakers about the needs, methods, and limitations of model-based campaign analysis; balancing the emphasis between the models and the related analysis; improving and sharing databases; developing a set of models with a range of capabilities, rather than attempting to create one supermodel; focusing R&D on the effects and representation of key combat phenomena; and critical peer review of the models and broader disclosure of methods and results.

Research conducted by

This report is part of the RAND monograph report series. The monograph/report was a product of RAND from 1993 to 2003. RAND monograph/reports presented major research findings that addressed the challenges facing the public and private sectors. They included executive summaries, technical documentation, and synthesis pieces.

This document and trademark(s) contained herein are protected by law. This representation of RAND intellectual property is provided for noncommercial use only. Unauthorized posting of this publication online is prohibited; linking directly to this product page is encouraged. Permission is required from RAND to reproduce, or reuse in another form, any of its research documents for commercial purposes. For information on reprint and reuse permissions, please visit

RAND is a nonprofit institution that helps improve policy and decisionmaking through research and analysis. RAND's publications do not necessarily reflect the opinions of its research clients and sponsors.