Parallel intelligence: toward lifelong and eternal developmental AI and learning in cyber-physical-social spaces
Wang, Fei-Yue1; Zhang, Jun Jason2; Wang, Xiao1,3
Source PublicationFRONTIERS OF COMPUTER SCIENCE
2018-06-01
Volume12Issue:3Pages:401-405
SubtypeLetter
Abstract

; Fundamentally, there are only two main approaches so far in artificial intelligence (AI): reasoning-oriented formal logic approach and function-oriented computational intelligence
approach, so called Neats vs. Scuruffies, which is a reflection of the historical fight between two schools of thought for formalism and empiricism respectively in the field of AI that is continuing even today. Here in this perspective, we present a
third approach, the parallel intelligence (PI) approach [1–3], which was originally inspired by Immanuel Kant’s Copernican revolution [4], Karl Popper’s three worlds model of reality
[5], Alfred Whitehead’s process philosophy [6], Herbert Simon’s theory of bounded rationality [7] and Marvin Minsky’s principle of diversity for intelligence [8]. We believe PI provides both theoretical and technological foundations
to support lifelong developmental AI and eternal learning through smart infrastructures constructed by cyber-physicalsocial systems (CPSS).
KeywordCpss Parallel Intelligence
WOS HeadingsScience & Technology ; Technology
DOI10.1007/s11704-018-7903-5
WOS KeywordFRAMEWORK
Indexed BySCI
Language英语
Funding OrganizationNational Natural Science Foundation of China(61533019 ; 71232006 ; 61702519)
WOS Research AreaComputer Science
WOS SubjectComputer Science, Information Systems ; Computer Science, Software Engineering ; Computer Science, Theory & Methods
WOS IDWOS:000431986200001
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/21751
Collection复杂系统管理与控制国家重点实验室_先进控制与自动化
Affiliation1.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
2.Wuhan Univ, Sch Elect Engn, Wuhan 430072, Hubei, Peoples R China
3.Qingdao Acad Intelligent Ind, Qingdao 266109, Peoples R China
First Author AffilicationChinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Wang, Fei-Yue,Zhang, Jun Jason,Wang, Xiao. Parallel intelligence: toward lifelong and eternal developmental AI and learning in cyber-physical-social spaces[J]. FRONTIERS OF COMPUTER SCIENCE,2018,12(3):401-405.
APA Wang, Fei-Yue,Zhang, Jun Jason,&Wang, Xiao.(2018).Parallel intelligence: toward lifelong and eternal developmental AI and learning in cyber-physical-social spaces.FRONTIERS OF COMPUTER SCIENCE,12(3),401-405.
MLA Wang, Fei-Yue,et al."Parallel intelligence: toward lifelong and eternal developmental AI and learning in cyber-physical-social spaces".FRONTIERS OF COMPUTER SCIENCE 12.3(2018):401-405.
Files in This Item:
File Name/Size DocType Version Access License
Parallel intelligenc(277KB)期刊论文作者接受稿开放获取CC BY-NC-SAView Download
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Wang, Fei-Yue]'s Articles
[Zhang, Jun Jason]'s Articles
[Wang, Xiao]'s Articles
Baidu academic
Similar articles in Baidu academic
[Wang, Fei-Yue]'s Articles
[Zhang, Jun Jason]'s Articles
[Wang, Xiao]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Wang, Fei-Yue]'s Articles
[Zhang, Jun Jason]'s Articles
[Wang, Xiao]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: Parallel intelligence toward lifelong and eternal developmental AI and learning in cyber-physical-social spaces.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.