Edward Waltz - Böcker

Quantitative Intelligence Analysis describes the model-based method of intelligence analysis that represents the analyst’s mental models of a subject, as well as the analyst’s 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 analyst’s mental models as computational models;dynamic simulations and interactive analytic games;the structure of an analyst’s 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.

Explains numeric and symbolic approaches to data association, tracking combination, classification, and situation assessment, and provides an overview of data fusion theory and mathematical formalisms.

Quantitative Intelligence Analysis describes the model-based method of intelligence analysis that represents the analyst’s mental models of a subject, as well as the analyst’s 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 analyst’s mental models as computational models;dynamic simulations and interactive analytic games;the structure of an analyst’s 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.

This system-level resource specifically applies knowledge management principles, practices and technologies to the intelligence domain. Designed for those responsible for the management of an intelligence enterprise operation and its delivery of reliable intelligence to key decision-makers, the text describes the essential principles of intelligence, from collection, processing and analysis to dissemination, for both national intelligence and business applications. The author aims to provide a balanced treatment of the organizational and architectural components of knowledge management, offering an understanding of the system infrastructure, tools and technologies necessary to implement the intelligence enterprise. He explores real-world applications and presents a detailed example of competitive intelligence unit design. Including over 80 illustrations, the volume offers a practical description of enterprise architecture design methodology, and covers the full range of national, military, business and competitive intelligence.

Today, more than ever, the use of denial and deception (D&D) is being used to compensate for an opponent's military superiority, to obtain or develop weapons of mass destruction, and to violate international agreements and sanctions. Although the historical literature on the use of strategic deception is widely available, technical coverage of the subject is scattered in hard-to-find and out-of-print sources. This is the first technical volume to offer a current, comprehensive and systematic overview of the concepts and methods that underlie strategic deception and, more importantly, to provide an in-depth understanding of counterdeception.