DocumentCode
643975
Title
From turing machine intelligence to collective intelligence
Author
Liwei Huang ; Haisu Zhang ; Guisheng Chen ; Yuchao Liu ; Deyi Li
Author_Institution
Inst. of Command Autom., PLA Univ. of Sci. & Technol., Nanjing, China
Volume
03
fYear
2012
fDate
Oct. 30 2012-Nov. 1 2012
Firstpage
1171
Lastpage
1177
Abstract
Almost all of the progress of artificial intelligence in the last 50 years has been based on the Turing model and Von Neumann architecture. Researchers have always tried to put the human intelligence into machines by the ways of algorithms, codes or symbols that could be understood and executed by machines, thus, we may be bounded to Turing model too tightly. In Internet and World Wide Web and developing cloud computing, network has changed the role from a single huge Turing machine or sum of some Turing machines to the collective intelligence, where the inputs or outputs of nodes in network are happening not only among computers, but also among people, such that Internet has been beyond Turing machine. Users in Internet who own similar interests may cluster naturally into scalable and boundless communities with uncertainty, where online interaction avoids the difficulty of common sense representation in traditional artificial intelligence. Furthermore, collective intelligence may emerge from the crowds interaction. Those would become the new research frontiers in intelligence science.
Keywords
Turing machines; Web sites; artificial intelligence; cloud computing; Internet; Turing model; Von Neumann architecture; World Wide Web; artificial intelligence; boundless communities; cloud computing; collective intelligence; human intelligence; intelligence science; scalable communities; turing machine intelligence; Artificial intelligence; Cloud computing; Communities; Computational modeling; Computers; Turing machines; Collective intelligence; Community in Internet; Social annotation; Turing machine; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Cloud Computing and Intelligent Systems (CCIS), 2012 IEEE 2nd International Conference on
Conference_Location
Hangzhou
Print_ISBN
978-1-4673-1855-6
Type
conf
DOI
10.1109/CCIS.2012.6664568
Filename
6664568
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