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Cyber-PhysicalSocial Intelligence On Human-Machine-Nature Symbiosis

Cyber-Physical-Social Intelligence

Hai Zhuge

Cyber-Physical-Social Intelligence On Human-Machine-Nature Symbiosis

123

Hai Zhuge Research Network based on Guangzhou University Guangzhou, China Jimei University Xiamen, China KLIIP at ICT in Chinese Academy of Sciences Beijing, China Aston University Birmingham, UK

ISBN 978-981-13-7310-7 ISBN 978-981-13-7311-4 https://doi.org/10.1007/978-981-13-7311-4

(eBook)

© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2020 This work is subject to copyright. All rights are solely and exclusively licensed by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, expressed or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. This Springer imprint is published by the registered company Springer Nature Singapore Pte Ltd. The registered company address is: 152 Beach Road, #21-01/04 Gateway East, Singapore 189721, Singapore

Foreword

Artificial intelligence is likely to be the dominant force in science and society over the next 5–20 years. We will develop human intelligence and machine intelligence together toward a synergistic cyber-physical-social intelligence. This will lead to transformational developments in science and society, with a new multi-dimensional reality emerging and evolving with a rich set of interconnected realizations. Clearly, there is a fundamental scientific problem as to what are the essential mechanisms that structure and evolve the cyber-physical-social world. This research monograph explores the fundamental concepts, rules and principles of human-machine-nature symbiosis in the cyber-physical society that will exhibit cyber-physical-social intelligence. The monograph explores these ideas in three directions: link, dimension and flow. The compelling argument builds on three innovative long-term research directions, where the author is a recognized pioneer. Firstly, there is the semantic link netw