The Evolving Reality

  • Chapter
  • First Online:
Cyber-Physical-Social Intelligence
  • 346 Accesses

Abstract

Problem and curiosity come from ignorance of the evolving reality. Exploring reality through discovering relations and dimensions in reality is a fundamental approach to recognizing reality. Human-machine-nature symbiosis is a complex link that coordinates the evolving cyberspace, physical space and social space to emerge a Cyber-Physical-Social Intelligence, and it also represents the philosophical thought of generating and develo** knowledge through harmoniously develo** humans, machines and the nature.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
EUR 29.95
Price includes VAT (Germany)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
EUR 117.69
Price includes VAT (Germany)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
EUR 160.49
Price includes VAT (Germany)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free ship** worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Adamic LA, Huberman BA (2000) Power-law distribution of the World Wide Web. Science 287(5461):2115

    Google Scholar 

  • Berners-Lee T, Fischetti M (1999) Weaving the Web: the original design and ultimate destiny of the World Wide Web by its inventor. Harper San Francisco

    Google Scholar 

  • Bush V (1945) As we may think. The Atlantic Monthly, 101–108

    Google Scholar 

  • Chertow MR (2000) Industrial symbiosis: literature and taxonomy. Ann Rev Energy Environ 25:313–337

    Google Scholar 

  • Denning PJ (2009) Beyond computational thinking. Commun ACM 52(6):28–30

    Google Scholar 

  • Engelbart DC (1962) Augmenting human intellect: a conceptual framework. Summary Report AFOSR-3233, Stanford Research Institute, Menlo Park, CA

    Google Scholar 

  • Foster I (2007) Human-machine symbiosis, 50 years on. http://ar**v.org/abs/0712.2255

  • Frosch RA, Gallopoulos NE (1989) Strategies for manufacturing. Scient Am, 144–152

    Google Scholar 

  • Gershenfeld N, Krikorian R, Cohen D (2004) Internet of things. Scient Am 291(4):76–81

    Google Scholar 

  • Graedel TE, Allenby, BR (2010) Industrial ecology and sustainable engineering. Prentice Hall

    Google Scholar 

  • Gray J (2003) What next?: A dozen information-technology research goals. J ACM 50(1):41–57

    Google Scholar 

  • Hawking S (1988) The illustrated brief history of time. Bantam Dell Publishing Group

    Google Scholar 

  • Hey T, Tansley S, Tolle K (2009) The fourth paradigm: data-intensive scientific discovery. (Ed) Microsoft Research, Redmond, Washington

    Google Scholar 

  • Langer EJ (2009) Counterclockwise: mindful health and the power of possibility, Ballantine Books, New York

    Google Scholar 

  • LeCun Y, Bengio Y, Hinton G (2015) Deep Learning. Nature 521:436–444

    Google Scholar 

  • Licklider JCR (1960) Man-computer symbiosis. IRE Trans Human Factors Electron HFE-1: 4–11

    Google Scholar 

  • McCarthy J, Hayes PJ (1969) Some philosophy problems from the standpoint of artificial intelligence, http://www-formal.stanford.edu/jmc/mcchay69.pdf

  • Minsky M (1986). The society of mind. Simon & Schuster, New York

    Google Scholar 

  • Moran NA (2006) Symbiosis. Curr Biol 16(20):866–871

    Google Scholar 

  • Neumann JV (1958) The computer and the brain. Yale University Press, USA

    Google Scholar 

  • Sartre JP (1984) Being and Nothingness. Trans. H. E. Barnes. New York: Washington Square Press

    Google Scholar 

  • Shannon CE (1948) A mathematical theory of communication. Bell Syst Techn J 27(3):379–423

    Google Scholar 

  • Silver D et al (2016) Mastering the game of Go with deep neural networks and tree search. Nature 529:484–489

    Google Scholar 

  • Silver D et al (2017) Mastering the game of Go without human knowledge. Nature 550:354–359

    Google Scholar 

  • Simon HA (1st edition, 1969) The science of the artificial. MIT Press, USA

    Google Scholar 

  • Turing A (1936) On computable numbers, with an application to the Entscheidungsproblem. Proc London Math Soc, s2–42(1)(1937)230–265

    Google Scholar 

  • Turing A (1950) Computing machinery and intelligence. Mind 59(236):433–460

    Google Scholar 

  • Vapnik VN (1999) An overview of statistical learning theory. IEEE Trans Neural Netw 10(5):988–999

    Google Scholar 

  • Wasserman S, Faust K (1994) Social network analysis: Methods and applications, Cambridge University Press, Cambridge

    Google Scholar 

  • Weiser M (1993) Some computer science issues in ubiquitous computing. Commun ACM 36(7):75–84

    Google Scholar 

  • Wiener N (1948) Cybernetics: or control and communication in the animal and the machine. MIT Press. Paris, Mass

    Google Scholar 

  • Wilson KG (1989) Grand challenges to computational science. Future Gener Comput Syst 5(2–3):171–189

    Google Scholar 

  • Wing JM (2006) Computational thinking. Commun ACM 49(3):33–35

    Google Scholar 

  • Zhuge H (2004) Future interconnection environment—dream, principle, challenge and practice. In: Keynote at the 5th international conference on web age information management, pp 13–22

    Google Scholar 

  • Zhuge H (2005) The future interconnection environment. IEEE Comput 38(4):27–33

    Google Scholar 

  • Zhuge H (2006) Discovery of knowledge flow in science. Commun ACM 49(5):101–107

    Google Scholar 

  • Zhuge H (2008) The Web resource space model. Springer, New York, USA

    Google Scholar 

  • Zhuge H (2009) Communities and emerging semantics in Semantic Link Network: discovery and learning. IEEE Trans Knowl Data Eng 21(6):785–799

    Google Scholar 

  • Zhuge H (2010a) Interactive semantics. Artif Intell 174:190–204

    Google Scholar 

  • Zhuge H (2010b) Socio-natural thought semantic link network: a method of semantic networking in the cyber physical society. Keynote in IEEE International Conference on Advanced Information Networking and Applications (AINA), 24th, Perth, Australia

    Google Scholar 

  • Zhuge H (2011) Semantic linking through spaces for cyber-physical-socio intelligence: a methodology. Artif Intell 175:988–1019

    Google Scholar 

  • Zhuge H (2012) The knowledge grid: toward the cyber-physical society. World Scientific Publishing Co., 2nd edition, Singapore

    Google Scholar 

  • Zhuge H (2015) Map** big data into knowledge space with cognitive cyber-infrastructure. preprint CoRR abs/1507.06500, http://arxiv.org/abs/1507.06500

  • Zhuge H (2016) Multi-dimensional summarization in cyber-physical society. Morgan Kaufmann, Netherlands, UK and USA

    Google Scholar 

  • Zhuge H (2018) The Complex Link. preprint, http://arxiv.org/abs/1805.00434

  • Zhuge H, Shi, X (2004) Toward the eco-grid: a harmoniously evolved interconnection environment. Commun ACM 47(9):78–83

    Google Scholar 

  • Zhuge H, **ng Y (2012) Probabilistic resource space model for managing resources in cyber-physical society. IEEE Trans Serv Comput 5(3):404–421

    Google Scholar 

  • Zhuge H, ** and integration. ACM Trans Int Technol, 8/4

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2020 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Zhuge, H. (2020). The Evolving Reality. In: Cyber-Physical-Social Intelligence. Springer, Singapore. https://doi.org/10.1007/978-981-13-7311-4_1

Download citation

  • DOI: https://doi.org/10.1007/978-981-13-7311-4_1

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-7310-7

  • Online ISBN: 978-981-13-7311-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Navigation