Computational Red Teaming: Risk Analytics of Big-Data-to-Decisions Intelligent S

Description: Computational Red Teaming by Hussein A. Abbass 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 Hardcover LANGUAGE English CONDITION Brand New Publisher 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 Gilberts 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. Back Cover 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 Gilberts 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. Author Biography Hussein A. Abbass is Senior Lecturer and Director of the Artificial Life and Adaptive Robotics Lab, School of Computer Science, Australian Defense Force Academy, and Honorary Associate at the University of New England. Table of Contents The Art of Red Teaming.- Analytics of Risk and Challenge.- Big–Data–to–Decisions Red Teaming Systems.- Case Studies on Computational Red Teaming.- The Way Forward. Long 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 Gilberts 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. Feature 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 system thinking with the right set of computational tools to assess risk in complex, "big-data" situations Details ISBN3319082809 Author Hussein A. Abbass Year 2014 ISBN-10 3319082809 ISBN-13 9783319082806 Format Hardcover Pages 218 Publication Date 2014-11-11 Short Title COMPUTATIONAL RED TEAMING 2015 Language English Media Book Imprint Springer International Publishing AG Subtitle Risk Analytics of Big-Data-to-Decisions Intelligent Systems Place of Publication Cham Country of Publication Switzerland Edition 2015th DOI 10.1007/978-3-319-08281-3 Publisher Springer International Publishing AG Edition Description 2015 ed. Alternative 9783319384412 DEWEY 658.0563 Audience Professional & Vocational Illustrations 15 Illustrations, color; 46 Illustrations, black and white; XXIII, 218 p. 61 illus., 15 illus. in color. We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:96279689;

Price: 233.73 AUD

Location: Melbourne

End Time: 2025-01-14T15:30:15.000Z

Shipping Cost: 68.46 AUD