This paper describes ways to specify important static content of social-science models for counterterrorism without dependence on a particular computer language or environment. The ambitions are modest because the actual knowledge to be represented is limited. The premium should be on simple, clear descriptions that can be communicated, debated, and “validated” across interdisciplinary lines, rather than on pretentious detail. The approach should also lay the groundwork for exploratory analysis because of inherent uncertainties. The paper is at least a start in that direction.
Originally delivered at a conference: Proceedings of the 2009 Summer Computer Simulation Conference (SCSC'09), 2009, ISBN: 1-56555-333-0. Information provided courtesy of the Society for Modeling and Simulation International.
Originally delivered at conference: Proceedings of the 2009 Summer Computer Simulation Conference (SCSC'09), 2009, ISBN: 1-56555-333-0.
This report is part of the RAND Corporation Reprint series. The Reprint was a product of the RAND Corporation from 1992 to 2011 that represented previously published journal articles, book chapters, and reports with the permission of the publisher. RAND reprints were formally reviewed in accordance with the publisher's editorial policy and compliant with RAND's rigorous quality assurance standards for quality and objectivity. For select current RAND journal articles, see External Publications.
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 www.rand.org/pubs/permissions.
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.