Generalizing Concepts and Methods of Verification, Validation, and Accreditation (VV&A) for Military Simulations

by Paul K. Davis


Download eBook for Free

FormatFile SizeNotes
PDF file 2.2 MB

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


Purchase Print Copy

 FormatList Price Price
Add to Cart Paperback61 pages $20.00 $16.00 20% Web Discount

This study on verification, validation, and accreditation (VV&A) seeks, for military models and simulations, to (1) provide a simple and realistic framework for modelers, analysts, managers, and recipients of analysis; (2) address important complications that have received too little attention in the past (e.g., evaluation of knowledge-based models such as those representing command-and-control decisions and other behaviors); and (3) discuss how modern model-building technology is changing the way we should develop models and conduct VV&A. The study illustrates many of its suggestions about VV&A with specific examples of language that might be used in reports and accreditation reviews. It sketches elements of advanced modeling and analysis environments that would make such work easier.

This report is part of the RAND Corporation Report series. The report was a product of the RAND Corporation from 1948 to 1993 that represented the principal publication documenting and transmitting RAND's major research findings and final research.

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

The RAND Corporation 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.