Quantitative Intelligence Analysis describes the model-based method of intelligence analysis that represents the analysts mental models of a subject, as well as the analysts reasoning process exposing what the analyst believes about the subject, and how they arrived at those beliefs and converged on analytic judgments. It includes:
Specific methods of explicitly representing the analysts mental models as computational models;dynamic simulations and interactive analytic games;the structure of an analysts mental model and the theoretical basis for capturing and representing the tacit knowledge of these models explicitly as computational models detailed description of the use of these models in rigorous, structured analysis of difficult targets;model illustrations and simulation descriptions;the role of models in support of collection and operations;case studies that illustrate a wide range of intelligence problems;And a recommended curriculum for technical analysts.
Edward (Ed) Waltz is Distinguished Member of the Technical Staff at Virginia Tech.
No one has worked harder, or with greater enthusiasm, to understand the practical and changing requirements of the working analyst in a fast-changing and dangerous world, or has been more productive in developing useful tools to address those requirements. As this book makes clear, Ed Waltz is a respected leader in a dynamic field to which he has made, and will continue to make, major contributions. John Gannon, Former Deputy Director for Intelligence (DDI) at CIA, Chairman of the National Intelligence Council and Assistant Director of Central Intelligence for Analysis and Production
Synoptic, erudite, authoritative, and useful, Quantitative Intelligence Analysis by Ed Waltz is a major contribution to our understanding of both how intelligence analysts think and how that thinking can be improved, not replaced, by advanced analytic methodologies. Jeffrey White, Defense Fellow, Washington Institute lĂ