Self-aware Computing Systems - An Engineering Approach (Hardcover, 1st ed. 2016)


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.

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Product Description

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.

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Product Details

General

Imprint

Springer International Publishing AG

Country of origin

Switzerland

Series

Natural Computing Series

Release date

August 2016

Availability

Expected to ship within 12 - 17 working days

First published

2016

Editors

, , , ,

Dimensions

235 x 155 x 25mm (L x W x T)

Format

Hardcover

Pages

324

Edition

1st ed. 2016

ISBN-13

978-3-319-39674-3

Barcode

9783319396743

Categories

LSN

3-319-39674-9



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