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Book synopsis

This book introduces readers to the concepts and methods of Computational Red Teaming (CRT). The author describes the development of an auxiliary artificial brain in-Silico he refers to as the Shadow Thinking Machine, which shadows the operations of an actual system to support decision makers in complex, big-data situations in real-time. This is the first treatment of the topic that combines in a unique way how RT can be adopted to any organization, while also presenting advanced computational intelligence and data mining algorithms, models and software architectures to support a Computational Red Teaming environment. The first part of this book introduces readers to the concept of red teaming, how to form a red team, and what makes a red teaming exercise successful. The author explains how to structure and model messy spaces, such as the strategic space or a social system. The second part is dedicated to Computational Red Teaming (CRT). It starts with an introduction to CRT and its relationship to Artificial Intelligence, Computational Intelligence and Computational Modeling and then describes in detail the computational ingredients necessary to design, develop and program a CRT environment. §

Book details

Book category Books in English Computing & information technology Computer science Artificial intelligence

• Full title: Computational Red Teaming, 1
• Subtitle: Risk Analytics of Big-Data-to-Decisions Intelligent Systems
• Author: Hussein A. Abbass
• Language: English
• Binding: Hardback
• Number of pages: 200
• EAN: 9783319082806
• ISBN: 3319082809
• ID: 02723743
• Publisher: Springer, Berlin
• Weight: 543 g
• Dimensions: 235 × 155 × 12 mm
• Published: 2014

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