Computational Red Teaming - Risk Analytics of Big-Data-to-Decisions Intelligent Systems (Paperback, Softcover reprint of the original 1st ed. 2015)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Release date:	September 2016
First published:	2015
Authors:	Hussein A. Abbass
Dimensions:	235 x 155 x 13mm (L x W x T)
Format:	Paperback
Pages:	218
Edition:	Softcover reprint of the original 1st ed. 2015
ISBN-13:	978-3-319-38441-2
Categories:	Books > Professional & Technical > Electronics & communications engineering > Communications engineering / telecommunications > General Books > Computing & IT > Applications of computing > Databases > Data mining Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	3-319-38441-4
Barcode:	9783319384412

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