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Self-aware Computing Systems - An Engineering Approach (Paperback, Softcover reprint of the original 1st ed. 2016) Loot Price: R3,546
Discovery Miles 35 460
Self-aware Computing Systems - An Engineering Approach (Paperback, Softcover reprint of the original 1st ed. 2016): Peter R....

Self-aware Computing Systems - An Engineering Approach (Paperback, Softcover reprint of the original 1st ed. 2016)

Peter R. Lewis, Marco Platzner, Bernhard Rinner, Jim Torresen, Xin Yao

Series: Natural Computing Series

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Loot Price R3,546 Discovery Miles 35 460 | Repayment Terms: R332 pm x 12*

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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.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Series: Natural Computing Series
Release date: April 2018
First published: 2016
Editors: Peter R. Lewis • Marco Platzner • Bernhard Rinner • Jim Torresen • Xin Yao
Dimensions: 235 x 155 x 19mm (L x W x T)
Format: Paperback
Pages: 324
Edition: Softcover reprint of the original 1st ed. 2016
ISBN-13: 978-3-319-81937-2
Categories: Books > Computing & IT > General theory of computing > General
Books > Computing & IT > Social & legal aspects of computing > Human-computer interaction
Books > Computing & IT > Applications of computing > Artificial intelligence > General
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LSN: 3-319-81937-2
Barcode: 9783319819372

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