Theory and Methods for Supporting High Level Military Decisionmaking

Theory and Methods for Supporting High Level Military Decisionmaking
Author :
Publisher : Rand Corporation
Total Pages : 106
Release :
ISBN-10 : 9780833040398
ISBN-13 : 0833040391
Rating : 4/5 (98 Downloads)

Book Synopsis Theory and Methods for Supporting High Level Military Decisionmaking by : Paul K. Davis

Download or read book Theory and Methods for Supporting High Level Military Decisionmaking written by Paul K. Davis and published by Rand Corporation. This book was released on 2007 with total page 106 pages. Available in PDF, EPUB and Kindle. Book excerpt: This report describes an approach to high-level decision support for a Joint Forces Air Component Commander in combat operations or a Chief of Staff in defense planning. Its central theme is the fundamental importance of dealing effectively with uncertainty, whether in effects-based operations, building the Air Force's Commander's Predictive Environment, or planning future forces with the methods of capabilities-based planning. Because many features of the future cannot be predicted with reasonable confidence, it is better to proceed with the expectation of surprise developments and to have skill in recognizing adaptations and making them than it is to treat uncertainty merely as an annoyance. This report sketches the framework of a high-level decision-support environment that is top-down, expresses concepts in simple and intuitive language, deals explicitly with risk and uncertainty, and provides the capability for decisionmakers to readily discover and question the bases for key assumptions and assessments. It can accommodate both "rational-analytic" and "naturalistic" decisionmakers, allowing them to produce strategies that are flexible, adaptive, and robust (FAR). Two explicit methods and their related tools are described. The first involves portfolio-style thinking and analysis, a good mechanism for balancing risks and other considerations in choosing a course of action. The second is a novel modification of foresight exercises that addresses the need to include humans effectively in dealing with uncertainty. A more extensive discussion of available methods and enabling technologies is also presented, along with some recommendations about investment priorities.


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