Overview
- Self-aware computing systems autonomously adapt their behaviour in changing conditions
- Authors and editors are leading researchers in this domain
- Useful for researchers, professionals and graduate students in computer science and engineering
Part of the book series: Natural Computing Series (NCS)
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About this book
Taking inspiration from self-awareness in humans, this book introduces the new notion of computational self-awareness as a fundamental concept for designing and operating computing systems. The basic ability of such self-aware computing systems is to collect information about their state and progress, learning and maintaining models containing knowledge that enables them to reason about their behaviour. Self-aware computing systems will have the ability to utilise this knowledge to effectively and autonomously adapt and explain their behaviour, in changing conditions.
This book addresses these fundamental concepts from an engineering perspective, aiming at developing primitives for building systems and applications. It will be of value to researchers, professionals and graduate students in computer science and engineering.Similar content being viewed by others
Keywords
Table of contents (15 chapters)
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Concepts and Fundamentals
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Applications and Case Studies
Reviews
Editors and Affiliations
Bibliographic Information
Book Title: Self-aware Computing Systems
Book Subtitle: An Engineering Approach
Editors: Peter R. Lewis, Marco Platzner, Bernhard Rinner, Jim Tørresen, Xin Yao
Series Title: Natural Computing Series
DOI: https://doi.org/10.1007/978-3-319-39675-0
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing Switzerland 2016
Hardcover ISBN: 978-3-319-39674-3Published: 09 August 2016
Softcover ISBN: 978-3-319-81937-2Published: 22 April 2018
eBook ISBN: 978-3-319-39675-0Published: 28 July 2016
Series ISSN: 1619-7127
Series E-ISSN: 2627-6461
Edition Number: 1
Number of Pages: XXX, 324
Number of Illustrations: 70 b/w illustrations, 28 illustrations in colour
Topics: Theory of Computation, Computational Intelligence, Artificial Intelligence, User Interfaces and Human Computer Interaction