Computational Red Teaming (Risk Analytics of Big-Data-to-Decisions Intelligent Systems)

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...

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Tác giả chính:	Abbass, Hussein A.
Định dạng:	Sách
Ngôn ngữ:	English
Được phát hành:	Springer 2015
Những chủ đề:	Computational Intelligence Data Storage Representation
Truy cập trực tuyến:	https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/56079
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id	oai:scholar.dlu.edu.vn:DLU123456789-56079
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spelling	oai:scholar.dlu.edu.vn:DLU123456789-560792023-11-11T05:32:32Z Computational Red Teaming (Risk Analytics of Big-Data-to-Decisions Intelligent Systems) Abbass, Hussein A. Computational Intelligence Data Storage Representation 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. 2015-06-10T02:26:05Z 2015-06-10T02:26:05Z 2015 Book 978-3-319-08281-3 https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/56079 en application/pdf Springer
institution	Thư viện Trường Đại học Đà Lạt
collection	Thư viện số
language	English
topic	Computational Intelligence Data Storage Representation
spellingShingle	Computational Intelligence Data Storage Representation Abbass, Hussein A. Computational Red Teaming (Risk Analytics of Big-Data-to-Decisions Intelligent Systems)
description	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.
format	Book
author	Abbass, Hussein A.
author_facet	Abbass, Hussein A.
author_sort	Abbass, Hussein A.
title	Computational Red Teaming (Risk Analytics of Big-Data-to-Decisions Intelligent Systems)
title_short	Computational Red Teaming (Risk Analytics of Big-Data-to-Decisions Intelligent Systems)
title_full	Computational Red Teaming (Risk Analytics of Big-Data-to-Decisions Intelligent Systems)
title_fullStr	Computational Red Teaming (Risk Analytics of Big-Data-to-Decisions Intelligent Systems)
title_full_unstemmed	Computational Red Teaming (Risk Analytics of Big-Data-to-Decisions Intelligent Systems)
title_sort	computational red teaming (risk analytics of big-data-to-decisions intelligent systems)
publisher	Springer
publishDate	2015
url	https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/56079
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Computational Red Teaming (Risk Analytics of Big-Data-to-Decisions Intelligent Systems)

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