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Parallel intelligence: toward lifelong and eternal developmental AI and learning in cyber-physical-social spaces

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Acknowledgements

This work was supported by the National Natural Science Foundation of China (Grant Nos. 61533019, 71232006, 61702519).

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Authors and Affiliations

  1. The State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China

    Fei-Yue Wang & Xiao Wang

  2. School of Electrical Engineering, Wuhan University, Wuhan, 430072, China

    Jun Jason Zhang

  3. Qingdao Academy of Intelligent Industries, Qingdao, 266109, China

    Xiao Wang

Authors
  1. Fei-Yue Wang
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  2. Jun Jason Zhang
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  3. Xiao Wang
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Corresponding author

Correspondence to Fei-Yue Wang.

Additional information

Fei-Yue Wang received his PhD degree in computer and systems engineering from Rensselaer Polytechnic Institute, USA in 1990. He joined the University of Arizona, USA in 1990 and became a professor and director of the Robotics and Automation Lab (RAL) and Program in Advanced Research for Complex Systems (PARCS). In 2011, he became the State Specially Appointed Expert and the Director of the State Key Laboratory for Management and Control of Complex Systems. Dr. Wang’s current research focuses on methods and applications for parallel systems, social computing, and knowledge automation.

Jun Jason Zhang received his BE and ME degrees in electrical engineering from Huazhong University of Science and Technology, China in 2003 and 2005, respectively, and his PhD degree in electrical engineering from Arizona State University, USA in 2008. He is currently a professor of electrical engineering at Wuhan University, China. He has authored/coauthored over 90 peer reviewed publications. His research expertise is in the areas of complex systems, artificial intelligence, knowledge automation, and their applications in intelligent power and energy systems.

Xiao Wang received her Bachelor’s degree in network engineering from Dalian University of Technology, China in 2011, and the PhD degree in social computing from University of Chinese Academy of Sciences, China in 2016. She is currently an assistant researcher in The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences. Her research interests include social transportation, cyber movement organizations, artificial intelligence, and social network analysis.

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Wang, FY., Zhang, J.J. & Wang, X. Parallel intelligence: toward lifelong and eternal developmental AI and learning in cyber-physical-social spaces. Front. Comput. Sci. 12, 401–405 (2018). https://doi.org/10.1007/s11704-018-7903-5

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  • DOI: https://doi.org/10.1007/s11704-018-7903-5

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