Brain Informatics-Based Big Data and the Wisdom Web of Things

Ning Zhong; Stephen S. Yau; Jianhua Ma; Shinsuke Shimojo; Marcel Just; Bin Hu; Guoyin Wang; Kazuhiro Oiwa; Yuichiro Anzai

doi:10.1109/MIS.2015.83

Brain Informatics-Based Big Data and the Wisdom Web of Things

Ning Zhong^*, Stephen S. Yau, Jianhua Ma, Shinsuke Shimojo, Marcel Just, Bin Hu, Guoyin Wang, Kazuhiro Oiwa, Yuichiro Anzai

^*Corresponding author for this work

Research output: Contribution to journal › Review article › peer-review

26 Citations (Scopus)

Abstract

The authors summarize the main aspects of brain informatics based big data interacting in the social-cyber-physical space of the Wisdom Web of Things (W2T). In particular, they focus on how to realize human-level collective intelligence as a big data sharing mind-a harmonized collectivity of consciousness on the W2T that uses brain-inspired intelligent technologies to provide wisdom services. Finally, the authors propose five guiding principles to deeper understanding the nature of the vigorous interaction and interdependence of brain-body-environment.

Original language	English
Article number	7243225
Pages (from-to)	2-7
Number of pages	6
Journal	IEEE Intelligent Systems
Volume	30
Issue number	5
DOIs	https://doi.org/10.1109/MIS.2015.83
Publication status	Published - 1 Sept 2015
Externally published	Yes

Keywords

W2T
WaaS
big data sharing mind
brain informatics
intelligent systems

Access to Document

10.1109/MIS.2015.83

Cite this

@article{6698185e804045adba046ad257bfc595,

title = "Brain Informatics-Based Big Data and the Wisdom Web of Things",

abstract = "The authors summarize the main aspects of brain informatics based big data interacting in the social-cyber-physical space of the Wisdom Web of Things (W2T). In particular, they focus on how to realize human-level collective intelligence as a big data sharing mind-a harmonized collectivity of consciousness on the W2T that uses brain-inspired intelligent technologies to provide wisdom services. Finally, the authors propose five guiding principles to deeper understanding the nature of the vigorous interaction and interdependence of brain-body-environment.",

keywords = "W2T, WaaS, big data sharing mind, brain informatics, intelligent systems",

author = "Ning Zhong and Yau, {Stephen S.} and Jianhua Ma and Shinsuke Shimojo and Marcel Just and Bin Hu and Guoyin Wang and Kazuhiro Oiwa and Yuichiro Anzai",

note = "Publisher Copyright: {\textcopyright} 2001-2011 IEEE.",

year = "2015",

month = sep,

day = "1",

doi = "10.1109/MIS.2015.83",

language = "English",

volume = "30",

pages = "2--7",

journal = "IEEE Intelligent Systems",

issn = "1541-1672",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

number = "5",

}

TY - JOUR

T1 - Brain Informatics-Based Big Data and the Wisdom Web of Things

AU - Zhong, Ning

AU - Yau, Stephen S.

AU - Ma, Jianhua

AU - Shimojo, Shinsuke

AU - Just, Marcel

AU - Hu, Bin

AU - Wang, Guoyin

AU - Oiwa, Kazuhiro

AU - Anzai, Yuichiro

PY - 2015/9/1

Y1 - 2015/9/1

N2 - The authors summarize the main aspects of brain informatics based big data interacting in the social-cyber-physical space of the Wisdom Web of Things (W2T). In particular, they focus on how to realize human-level collective intelligence as a big data sharing mind-a harmonized collectivity of consciousness on the W2T that uses brain-inspired intelligent technologies to provide wisdom services. Finally, the authors propose five guiding principles to deeper understanding the nature of the vigorous interaction and interdependence of brain-body-environment.

AB - The authors summarize the main aspects of brain informatics based big data interacting in the social-cyber-physical space of the Wisdom Web of Things (W2T). In particular, they focus on how to realize human-level collective intelligence as a big data sharing mind-a harmonized collectivity of consciousness on the W2T that uses brain-inspired intelligent technologies to provide wisdom services. Finally, the authors propose five guiding principles to deeper understanding the nature of the vigorous interaction and interdependence of brain-body-environment.

KW - W2T

KW - WaaS

KW - big data sharing mind

KW - brain informatics

KW - intelligent systems

UR - http://www.scopus.com/inward/record.url?scp=84941204650&partnerID=8YFLogxK

U2 - 10.1109/MIS.2015.83

DO - 10.1109/MIS.2015.83

M3 - Review article

AN - SCOPUS:84941204650

SN - 1541-1672

VL - 30

SP - 2

EP - 7

JO - IEEE Intelligent Systems

JF - IEEE Intelligent Systems

IS - 5

M1 - 7243225

ER -

Brain Informatics-Based Big Data and the Wisdom Web of Things

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Cite this