The author utilizes Gilbert's principles for introducing a science. Simplicity: where the book follows a special style to make it accessible to a wide range of readers. Coherence: where only necessary elements from experimentation, optimization, simulation, data mining, big data, cognitive information processing, and system thinking are blended together systematically to present CRT as the science of Risk Analytics and Challenge Analytics. Utility: where the author draws on a wide range of examples, ranging from job interviews to Cyber operations, before presenting three case studies from air traffic control technologies, human behavior, and complex socio-technical systems involving real-time mining and integration of human brain data in the decision making environment.
. Presents first comprehensive treatment of Computational Red Teaming;
. Provides balanced coverage of the topic from the perspectives of risk thinking and computational modeling;
. Includes thorough coverage of the computational approach to the problem;
. Links risk analytics and challenge analytics with the right set of computational tools to assess risk in complex, "big-data"situations.
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