【2014】Computational Red Teaming: Risk Analytics of Big-Data-to-Decisions Intelligent Systems

Book 图书名称：Computational Red Teaming: Risk Analytics of Big-Data-to-Decisions Intelligent Systems
Author 作者：Hussein A. Abbass
Publisher 出版社： Springer International Publishing
Page 页数： 218
Publishing Date 出版时间：Oct 31, 2014
Language 语言： English
Size 大小： 1.7 MB
Format 格式： pdf 文字版
ISBN:978-3-319-08280-6, 978-3-319-08281-3
Edition: 第1版 搜索过论坛，没有该文档


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.

== Table of contents ==
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