|
|
|
|
| LEADER |
00000cam a2200000Ii 4500 |
| 001 |
12610282 |
| 006 |
m o d |
| 007 |
cr nn||||mamaa |
| 008 |
201112s2020 si a ob 000 0 eng d |
| 005 |
20240705210811.6 |
| 019 |
|
|
|a 1223086150
|a 1225935341
|a 1241726902
|
| 020 |
|
|
|a 9789811373114
|q (electronic bk.)
|
| 020 |
|
|
|a 9811373116
|q (electronic bk.)
|
| 020 |
|
|
|z 9789811373107
|
| 024 |
7 |
|
|a 10.1007/978-981-13-7311-4
|2 doi
|
| 035 |
|
|
|a (OCoLC)1225563273
|z (OCoLC)1223086150
|z (OCoLC)1225935341
|z (OCoLC)1241726902
|
| 035 |
|
9 |
|a (OCLCCM-CC)1225563273
|
| 040 |
|
|
|a SFB
|b eng
|e rda
|e pn
|c SFB
|d OCLCO
|d OCLCF
|d GW5XE
|d OCLCO
|d EBLCP
|d LEATE
|d UPM
|d UKAHL
|d OCL
|
| 049 |
|
|
|a MAIN
|
| 050 |
|
4 |
|a Q335
|
| 072 |
|
7 |
|a UYQ
|2 bicssc
|
| 072 |
|
7 |
|a COM004000
|2 bisacsh
|
| 072 |
|
7 |
|a UYQ
|2 thema
|
| 100 |
1 |
|
|a Zhuge, Hai,
|e author.
|0 http://id.loc.gov/authorities/names/no2005019177
|
| 245 |
1 |
0 |
|a Cyber-physical-social intelligence :
|b on human-machine-nature symbiosis /
|c Hai Zhuge.
|
| 264 |
|
1 |
|a Singapore :
|b Springer,
|c [2020]
|
| 300 |
|
|
|a 1 online resource (xviii, 351 pages) :
|b illustrations (some color)
|
| 336 |
|
|
|a text
|b txt
|2 rdacontent
|
| 337 |
|
|
|a computer
|b c
|2 rdamedia
|
| 338 |
|
|
|a online resource
|b cr
|2 rdacarrier
|
| 347 |
|
|
|a text file
|2 rdaft
|0 http://rdaregistry.info/termList/fileType/1002
|
| 347 |
|
|
|b PDF
|
| 504 |
|
|
|a Includes bibliographical references.
|
| 520 |
|
|
|a This book explores next-generation artificial intelligence based on 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 reality, and also proposes a multi-dimensional space for modelling reality and managing the methodologies for exploring reality. As such it lays the foundation for the emerging research area cyber-physical-social intelligence. Inspiring researchers and university students to explore the development of intelligence and scientific methodology, it is intended for researchers and broad readers with a basic understanding of computer science and the natural sciences. Next-generation artificial intelligence will extend machine intelligence 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 challenge is uncovering the essential mechanisms and principles that structure and evolve the reality emerging and evolving along various dimensions. Meeting this challenge requires identifying the basic relations between humans, machines and nature in order to reveal the cyber-physical-social principles.
|
| 505 |
0 |
|
|a 1. Introduction -- a. Where are we? -- b. Symbiosis -- c. Man-Computer Symbiosis -- d. Human-Machine-Nature Symbiosis -- 2. Necessity of Studying Human-Machine-Nature Symbiosis and Principles -- 3. Competition and Symbiosis in Cyber-Physical Society. 4. Cyber-Physical-Social Communities -- 5. Symbiosis among Spaces -- 6. Material, Information and Knowledge Flows -- 7. Influence through Human-Machine-Nature Symbiosis -- 8. Cyber-Physical-Socioeconomic Computing Model for Symbiosis -- 9. Symbiosis between Computing and Thinking -- 10. Computing between Known and Unknown -- 11. Perspective -- 12. Application Analysis: Construct Symbiotic Network to Gain Value -- 13. Application Analysis: Recommendation of Things in Cyber-Physical Society -- 14. Symbiosis through Material, Data and Information Flows -- 15. Application Analysis: From Self-Programming to Human-Machine-Nature Symbiosis -- 16. Application Analysis: Information System Evolution -- 17. Application Analysis: Human-Machine-Nature Symbiotic Lifecycle Medicine -- 18. Conclusion -- References.
|
| 588 |
0 |
|
|a Online resource; title from PDF title page (SpringerLink, viewed January 21, 2021).
|
| 650 |
|
0 |
|a Artificial intelligence.
|0 http://id.loc.gov/authorities/subjects/sh85008180
|
| 650 |
|
0 |
|a Human-computer interaction.
|0 http://id.loc.gov/authorities/subjects/sh88003229
|
| 650 |
|
7 |
|a Human-computer interaction.
|2 fast
|0 (OCoLC)fst00963494
|
| 650 |
|
7 |
|a Artificial intelligence.
|2 fast
|0 (OCoLC)fst00817247
|
| 655 |
|
0 |
|a Electronic books.
|
| 655 |
|
4 |
|a Electronic books.
|
| 776 |
0 |
8 |
|i Print version:
|z 9811373108
|
| 903 |
|
|
|a HeVa
|
| 929 |
|
|
|a oclccm
|
| 999 |
f |
f |
|i 930377d4-b5ed-5a19-8675-2c797815b2b7
|s 957024c1-4074-5178-822a-6342cfdd5f1e
|
| 928 |
|
|
|t Library of Congress classification
|a Q335
|l Online
|c UC-FullText
|u https://link.springer.com/10.1007/978-981-13-7311-4
|z Springer Nature
|g ebooks
|i 12625889
|
