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

^*此作品的通讯作者

Beijing University of Technology
The University of Tokyo
Arizona State University
Hosei University
California Institute of Technology
Carnegie Mellon University
Lanzhou University
Chongqing University of Posts and Telecommunications
Japan National Institute of Information and Communications Technology
Japan Society for the Promotion of Science

科研成果: 期刊稿件 › 文献综述 › 同行评审

28 引用（Scopus）

摘要

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.

源语言	英语
期刊论文编号	7243225
页（从-至）	2-7
页数	6
期刊	IEEE Intelligent Systems
卷	30
期	5
DOI	https://doi.org/10.1109/MIS.2015.83
出版状态	已出版 - 1 9月 2015
已对外发布	是

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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.",

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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

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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.

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KW - intelligent systems

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JO - IEEE Intelligent Systems

JF - IEEE Intelligent Systems

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ER -

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

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