Modern Decision Science Suggests New Methods And Tools To Support Military Decisionmaking

A selective review of modern decision science and implications for decision-support systems. The study suggests ways to synthesize lessons from research on heuristics and biases with those from "naturalistic research." It also discusses modern tools, such as increasingly realistic simulations, multiresolution modeling, and exploratory analysis, which can assist decisionmakers in choosing strategies that are flexible, adaptive, and robust.

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.

Based on many years of applied research, modeling and educating future decision makers, the authors have selected the critical set of mathematical modeling skills for decision analysis to include in this book. The book focuses on the model formulation and modeling building skills, as well as the technology to support decision analysis. The authors cover many of the main techniques that have been incorporated into their three-course sequence in mathematical modeling for decision making in the Department of Defense Analysis at the Naval Postgraduate School. The primary objective of this book is illustrative in nature. It begins with an introduction to mathematical modeling and a process for formally thinking about difficult problems, illustrating many scenarios and illustrative examples. The book incorporates the necessary mathematical foundations for solving these problems with military applications and related military processes to reinforce the applied nature of the mathematical modeling process.

It is still easy to underestimate how much the collapse of the Soviet Union and the end of the Cold War?--and then the terrorist attacks of September 11, 2001?--transformed the task of American foreign and defense policymaking. In place of predictability (if a sometimes terrifying predictability), the world is now very unpredictable. In place of a single overriding threat and benchmark by which all else could be measured, a number of possible threats have arisen, not all of them states. In place of force-on-force engagements, U.S. defense planners have to assume "asymmetric" threats?--ways not to defeat U.S. power but to render it irrelevant. This book frames the challenges for defense policy that the transformed world engenders, and it sketches new tools for dealing with those challenges?--from new techniques in modeling and gaming, to planning based on capabilities rather than threats, to personnel planning and making use of "best practices" from the private sector.

TO DERIVE METHODS FOR SCORING THE DECISION-MAKING BEHAVIOR FOR USE IN A BROAD PROGRAM OF MANNED SYSTEMS RESEARCH TO IMPROVE TACTICAL DECISION MAKING. A test scenario was developed and administered individually to 20 senior field grade officers. The assigned task required each officer to write a defense plan for his division sector against an expected attack by two mechanized infantry divisions. The scenario was presented by using cathode ray tube (CRT) displays, computer-driven typewriters, and random access slide projection equipment. Defense plans were scored using USA CGSC school solutions as criteria. Two scoring procedures were utilized: (1) Leavensorth Standard (based on rationales and solutions in the CGSC lesson plans) and (2) Consensus Standard (to provide for computing average subject responses in the event CGSC Standards were inappropriate as a result of scenario changes.

A selective review of modern decision science and implications for decision-support systems. The study suggests ways to synthesize lessons from research on heuristics and biases with those from "naturalistic research." It also discusses modern tools, such as increasingly realistic simulations, multiresolution modeling, and exploratory analysis, which can assist decisionmakers in choosing strategies that are flexible, adaptive, and robust.

Modeling, simulation, and analysis (MS&A) is a crucial tool for military affairs. MS&A is one of the announced pillars of a strategy for transforming the U.S. military. Yet changes in the enterprise of MS&A have not kept pace with the new demands arising from rapid changes in DOD processes and missions or with the rapid changes in the technology available to meet those demands. To help address those concerns, DOD asked the NRC to identify shortcomings in current practice of MS&A and suggest where and how they should be resolved. This report provides an assessment of the changing mission of DOD and environment in which it must operate, an identification of high-level opportunities for MS&A research to address the expanded mission, approaches for improving the interface between MS&A practitioners and decision makers, a discussion of training and continuing education of MS&A practitioners, and an examination of the need for coordinated military science research to support MS&A.

This monograph investigates the art and science of problem solving and decision making in the operational planning environment. The Army's current problem solving and decision making doctrine found in FM 5-0 (101-5) Army Planning and Orders Production (Final Draft) provides one simplistic process and lacks information in the art of problem solving for planners and decision makers to follow. This research investigates the theory of problem solving and compares proven problem solving processes used and accepted in the business community with the Army's problem solving and decision making process. The research identifies components common to the processes analyzed, establishing goals or end state objectives, gathering information, and assessing implementation, which generally present challenges to the planner, and suggests methods to facilitate definition and communicate findings. The problem solving and military decision making process contained in the Army's doctrine serves as a sufficient beginning point for planning at the tactical level; however, due to rigidity and a lack of examples in problem solving theory, it is not sufficient when dealing with operational level problems. The Army's process contains significant shortcomings for planners at the operational level because it does not address the theory of problem solving and lacks sufficient background of key components of the process - goal setting, information gathering, and implementation assessment. This research concludes with recommendations to improve the Army's doctrine. It suggests the Army modify its existing problem solving and decision making doctrine to address additional relevant processes that are effective in a time constrained environment and when dealing with complex problems.

Plenty of books offer useful advice on how to get better at making quick-thinking, intuitive choices. But what about more consequential decisions, the ones that affect our lives for years, or centuries, to come? Our most powerful stories revolve around these kinds of decisions: where to live, whom to marry, what to believe, whether to start a company, how to end a war. Full of the beautifully crafted storytelling and novel insights that Steven Johnson's fans know to expect, Farsighted draws lessons from cognitive science, social psychology, military strategy, environmental planning, and great works of literature. Everyone thinks we are living in an age of short attention spans, but we've actually learned a lot about making long-term decisions over the past few decades. Johnson makes a compelling case for a smarter and more deliberative decision-making approach. He argues that we choose better when we break out of the myopia of single-scale thinking and develop methods for considering all the factors involved. There's no one-size-fits-all model for the important decisions that can alter the course of a life, an organization, or a civilization. But Farsighted explains how we can approach these choices more effectively, and how we can appreciate the subtle intelligence of choices that shaped our broader social history.