SpringerBriefs in Computer Science
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Cyber-Physical-Social Intelligence

On Human-Machine-Nature Symbiosis

Authors: Zhuge, Hai

  • Is the first book on next-generation artificial intelligence: cyber-physical-social intelligence
  • Proposes the human-machine-nature symbiosis – a reciprocal mechanism for structuring and evolving reality
  • Provides multi-dimensional methodology for exploring the emerging cyber-physical-social space
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eBook  
  • ISBN 978-981-13-7311-4
  • Digitally watermarked, DRM-free
  • Included format:
  • ebooks can be used on all reading devices
Softcover ca. 49,99 €
price for China (P.R.) (gross)
  • Due: 2019年10月22日
  • ISBN 978-981-13-7310-7
  • Free shipping for individuals worldwide
About this book

This book studies the symbiosis between humans, machines and nature, including the rules and emerging patterns of recognition, and the integration and optimization of various flows through cyberspace, physical space and social space. It unveils a reciprocal human-machine-nature symbiotic mechanism together with relevant rules on structuring and evolving the reality, and also proposes a multi-dimensional space for modelling the reality and managing the methodologies for exploring the reality. As such it makes a fundamental contribution to the creation and development of the research area cyber-physical-social intelligence, inspiring researchers and university students to explore the next-generation artificial intelligence and scientific methodology. It is suitable for readers with a basic understanding of computers and the natural sciences.

Next-generation artificial intelligence will extend machine and human intelligence to cyber-physical-social intelligence rendered by various interactions in cyberspace, physical space, and social space. With the transformational development of science and society, a multi-dimensional reality is emerging and evolving, leading to the generation and development of various spaces obeying different principles. A fundamental scientific problem is identifying the essential mechanism that structures and develops the reality emerging and evolving along various dimensions. Solving this problem requires the basic relations between humans, machines and reality to be identified and cyber-physical-social principles to be unveiled.

 


About the authors

Hai Zhuge is an ACM (Association of Computer Machinery) Distinguished Scientist and a Fellow of the British Computer Society. He has made a systematic contribution to semantics and knowledge modelling through fundamental research on the Semantic Link Network and the Resource Space Model based on multi-dimensional methodology. He is leading research on cyber-physical-social intelligence using methodological, theoretical and technical innovations. As an ACM Distinguished Speaker, he has delivered 20 keynotes at international conferences and invited lectures at universities in various countries. As a Professor, he is head of an international research network consisting of the Guangzhou University, the Key Laboratory of Intelligent Information Processing at the Institute of Computing Technology in Chinese Academy of Sciences, the University of Chinese Academy of Sciences, and the System Analytics Research Institute at Aston University. He was a Distinguished Visiting Fellow of the Royal Academy of Engineering. He is the author of four monographs: Cyber-Physical-Social Intelligence on Human-Machine-Nature Symbiosis (Springer, 2019), Multi-Dimensional Summarization in Cyber-Physical Society (Morgan Kaufmann, 20016), The Knowledge Grid: Toward Cyber-Physical Society (World Scientific, 2012), and The Web Resource Space Model (Springer, 2008). He is currently as an Associate Editor of IEEE Intelligent Systems.


Buy this book

eBook  
  • ISBN 978-981-13-7311-4
  • Digitally watermarked, DRM-free
  • Included format:
  • ebooks can be used on all reading devices
Softcover ca. 49,99 €
price for China (P.R.) (gross)
  • Due: 2019年10月22日
  • ISBN 978-981-13-7310-7
  • Free shipping for individuals worldwide

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Bibliographic Information

Bibliographic Information
Book Title
Cyber-Physical-Social Intelligence
Book Subtitle
On Human-Machine-Nature Symbiosis
Authors
Series Title
SpringerBriefs in Computer Science
Copyright
2019
Publisher
Springer Singapore
Copyright Holder
The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
eBook ISBN
978-981-13-7311-4
Softcover ISBN
978-981-13-7310-7
Series ISSN
2191-5768
Edition Number
1
Topics