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Computational Red Teaming - Risk Analytics of Big-Data-to-Decisions Intelligent Systems (Hardcover, 2015 ed.)
Loot Price: R3,494
Discovery Miles 34 940
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Computational Red Teaming - Risk Analytics of Big-Data-to-Decisions Intelligent Systems (Hardcover, 2015 ed.)
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Written to bridge the information needs of management and
computational scientists, this book presents the first
comprehensive treatment of Computational Red Teaming (CRT). The
author describes an analytics environment that blends human
reasoning and computational modeling to design risk-aware and
evidence-based smart decision making systems. He presents the
Shadow CRT Machine, which shadows the operations of an actual
system to think with decision makers, challenge threats, and design
remedies. This is the first book to generalize red teaming (RT)
outside the military and security domains and it offers coverage of
RT principles, practical and ethical guidelines. 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.
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