Overview
- Presents the foundations upon which trusted autonomy might be built
- Offers the first comprehensive treatment of trusted autonomy, covering the scientific foundations for engineering and evolving trusted autonomous systems
- Serves as a reference resource for researchers, educators, and practitioners on trusted autonomy, as well as a foundational text for advanced students
Part of the book series: Studies in Systems, Decision and Control (SSDC, volume 117)
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About this book
Aimed at scientists, researchers, technologists, practitioners, and students, it brings together contributions offering the basics, the challenges and the state-of-the-art on trusted autonomous systems in a single volume.
The book is structured in three parts, with chapters written by eminent researchers and outstanding practitioners and users in the field. The first part covers foundational artificial intelligence technologies, while the second part covers philosophical, practical and technological perspectives on trust. Lastly, the third part presents advanced topics necessary to create future trusted autonomous systems.
The book augments theory with real-world applications including cyber
security, defence and space.
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Keywords
Table of contents (21 chapters)
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Autonomy
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Trust
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Trusted Autonomy
Editors and Affiliations
Bibliographic Information
Book Title: Foundations of Trusted Autonomy
Editors: Hussein A. Abbass, Jason Scholz, Darryn J. Reid
Series Title: Studies in Systems, Decision and Control
DOI: https://doi.org/10.1007/978-3-319-64816-3
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s) 2018
Hardcover ISBN: 978-3-319-64815-6Published: 25 January 2018
Softcover ISBN: 978-3-319-87879-9Published: 04 June 2019
eBook ISBN: 978-3-319-64816-3Published: 15 January 2018
Series ISSN: 2198-4182
Series E-ISSN: 2198-4190
Edition Number: 1
Number of Pages: XVII, 395
Number of Illustrations: 37 b/w illustrations, 32 illustrations in colour
Topics: Robotics and Automation, Artificial Intelligence, Electronics and Microelectronics, Instrumentation, Computational Mathematics and Numerical Analysis, Algorithm Analysis and Problem Complexity