Turn off MathJax
Article Contents
ZHANG Zhimin, YIN Rui, NING Huansheng. Internet of Brain, Thought, Thinking, and Creation[J]. Chinese Journal of Electronics. doi: 10.1049/cje.2021.00.236
Citation: ZHANG Zhimin, YIN Rui, NING Huansheng. Internet of Brain, Thought, Thinking, and Creation[J]. Chinese Journal of Electronics. doi: 10.1049/cje.2021.00.236

Internet of Brain, Thought, Thinking, and Creation

doi: 10.1049/cje.2021.00.236
Funds:  This work is supported by the National Natural Science Foundation of China (Grant No. 61872038)
More Information
  • Author Bio:

    received the B.S. degree from Hebei University of Architecture, China, in 2019. He is currently working toward the Ph.D. degree from the School of Computer and Communication Engineering, University of Science and Technology Beijing, China. His research interests include Internet of Things and Artificial Intelligence. (Email: zhangzhimin@xs.ustb.edu.cn)

    received his B.S. degree from Beihua University of Science and Technology, China, in 2019. He is currently working toward the M.S. degree from the School of Computer and Communication Engineering, University of Science and Technology Beijing, China. His current research focuses artificial intelligence on autonomous driving. (Email: 17644258340@163.com)

    (corresponding author) received his B.S. degree from Anhui University in 1996 and his Ph.D. degree from Beihang University in 2001. He is currently a Professor and Vice Dean with the School of Computer and Communication Engineering, University of Science and Technology Beijing, China, and the founder and principal at Cybermatics and Cyberspace International Science and Technology Cooperation Base. His current research focuses on Internet of Things. (Email: ninghuansheng@ustb.edu.cn)

  • Received Date: 2021-07-15
  • Accepted Date: 2021-09-28
  • Available Online: 2021-11-02
  • Thinking space came into being with the emergence of human civilization. With the emergence and development of cyberspace, the interaction between those two spaces began to take place. In the collision of thinking and technology, new changes have taken place in both thinking space and cyberspace. To this end, this paper divides the current integration and development of thinking space and cyberspace into three stages, namely Internet of brain (IoB), Internet of thought (IoTh), and Internet of thinking (IoTk). At each stage, the contents and technologies to achieve convergence and connection of spaces are discussed. Besides, the Internet of creation (IoC) is proposed to represent the future development of thinking space and cyberspace. Finally, a series of open issues are raised, and they will become thorny factors in the development of the IoC stage.
  • loading
  • [1]
    P. Buxmann, T. Hess and R. Ruggaber, “Internet of services,” Business & Information Systems Engineering, vol.1, no.5, Article No.341, 2009.
    F. Shi, W. Wang, H. Wang, et al., “The internet of people: A survey and tutorial,” arXiv preprint, arXiv: 2104.04079, 2021.
    Y. N. Harari, Sapiens: A Brief History of Humankind. New York, USA, Random House, 2014.
    H. Ning and H. Liu, “Cyber-physical-social-thinking space based science and technology framework for the internet of things,” Science China Information Sciences, vol.58, no.3, pp.1–19, 2015.
    H. Ning, X. Ye, M. A. Bouras, et al., “General cyberspace: Cyberspace and cyber-enabled spaces,” IEEE Internet of Things Journal, vol.5, no.3, pp.1843–1856, 2018. doi: 10.1109/JIOT.2018.2815535
    H. Ning, Z. Zhang and M. Daneshmand, “Phinet of things: Things connected by physical space from the natural view,” IEEE Internet of Things Journal, vol.8, no.11, pp.8680–8692, 2020.
    J. Von Neumann and R. Kurzweil, The Computer and the Brain. Connecticut, USA, Yale University Press, 2012.
    A. Rezeika, M. Benda, P. Stawicki, et al., “Brain-computer interface spellers: A review,” Brain sciences, vol.8, no.4, Article No.57, 2018. doi: 10.3390/brainsci8040057
    G. Schalk, D. J. McFarland, T. Hinterberger, et al., “Bci2000: A general-purpose brain-computer interface (BCI) system,” IEEE Transactions on Biomedical Engineering, vol.54, no.6, pp.1034–1043, 2004.
    P. Brunner, L. Bianchi, C. Guger, et al., “Current trends in hardware and software for brain-computer interfaces (BCIs),” Journal of Neural Engineering, vol.8, no.025001, Article No.025001, 2011.
    J. Miśkiewicz, “The merger of natural intelligence with artificial intelligence, with a focus on neuralink company,” Virtual Economics, vol.2, no.3, pp.22–29, 2019. doi: 10.34021/ve.2019.02.03(2)
    S. Finance, “Musk: Neuralink is going to unveil a technology update this year that is absolutely amazing”, https://baijiahao.baidu.com/s?id=1657686938135370815&wfr=spider&for=pc, 2021-8-14.
    G. A. Information, “Neuralink, mr musk’s “brain-computer interface” company, will unveil its latest results on august 28th”, https://new.qq.com/omn/20200710/20200710A0HOLC00.html, 2021-8-14.
    M. Spüler, “A high-speed brain-computer interface (BCI) using dry EEG electrodes,” PLOS ONE, vol.12, pp.1–12, 02, 2017.
    M. A. Bockbrader, G. Francisco, R. Lee, et al., “Brain computer interfaces in rehabilitation medicine,” PM & R, vol.10, no.9, pp.S233–S243, 2018.
    C. A. Kothe and S. Makeig, “Bcilab: A platform for brain-computer interface development,” Journal of Neural Engineering, vol.10, no.5, Article No.056014, 2013. doi: 10.1088/1741-2560/10/5/056014
    Y. Renard, F. Lotte, G. Gibert, et al., “Openvibe: An open-source software platform to design, test, and use brain-computer interfaces in real and virtual environments,” Presence: Teleoperators and Virtual Environments, vol.19, no.1, pp.35–53, 2010. doi: 10.1162/pres.19.1.35
    M. J. Vansteensel, E. G. Pels, M. G. Bleichner, et al., “Fully implanted brain-computer interface in a locked-in patient with als,” New England Journal of Medicine, vol.375, no.21, pp.2060–2066, 2016. doi: 10.1056/NEJMoa1608085
    S. Li, A. Leider, M. Qiu, et al., “Brain-based computer interfaces in virtual reality,” in 2017 IEEE 4th International Conference on Cyber Security and Cloud Computing (CSCloud), pp. 300–305, IEEE, 2017.
    J. Jakob, I. Tammo, H. Moritz, et al., “Extremely scalable spiking neuronal network simulation code: From laptops to exascale computers,” Front Neuroinform, vol.12, Article No.2, 2018. doi: 10.3389/fninf.2018.00002
    C. Manning and H. Schutze, Foundations of Statistical Natural Language Processing. Massachusetts, USA, MIT press, 1999.
    T. BERNERS-LEE, “Semantic web road map”, http://www.w3.org/DesignIssues/Semantic.html, 2021-8-14.
    C. E. Shannon, “A mathematical theory of communication,” The Bell System Technical Journal, vol.27, no.3, pp.379–423, 1948. doi: 10.1002/j.1538-7305.1948.tb01338.x
    T. Mikolov, K. Chen, G. Corrado, et al., “Efficient estimation of word representations in vector space,” arXiv preprint, arXiv: 1301.3781, 2013.
    A. Kumar, O. Irsoy, P. Ondruska, et al., “Ask me anything: Dynamic memory networks for natural language processing,” in International Conference on Machine Learning, pp. 1378–1387, PMLR, 2016.
    T. Young, D. Hazarika, S. Poria, et al., “Recent trends in deep learning based natural language processing,” IEEE Computational intelligence Magazine, vol.13, no.3, pp.55–75, 2018. doi: 10.1109/MCI.2018.2840738
    K. Chowdhary, “Natural language processing,” in Fundamentals of Artificial Intelligence, pp.603–649, Springer, 2020.
    G. E. Hinton and R. R. Salakhutdinov, “Reducing the dimensionality of data with neural networks,” Science, vol.313, no.5786, pp.504–507, 2006. doi: 10.1126/science.1127647
    W. Yin, K. Kann, M. Yu, et al., “Comparative study of CNN and RNN for natural language processing,” arXiv preprint, arXiv: 1702.01923, 2017.
    L. YO, L. Hang, L. Xiao-Yu, et al., “Deep learning in NLP: Methods and applications,” Journal of UEST of China, vol.46, no.6, pp.913–919, 2017.
    Y. Bengio, R. Ducharme, P. Vincent, et al., “A neural probabilistic language model,” Journal of Machine Learning Research, vol.3, no.Feb, pp.1137–1155, 2003.
    J. Devlin, M. -W. Chang, K. Lee, et al., “Bert: Pre-training of deep bidirectional transformers for language understanding,” arXiv preprint, arXiv: 1810.04805, 2018.
    J. Pennington, R. Socher and C. D. Manning, “Glove: Global vectors for word representation,” in Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 1532–1543, 2014.
    Y. Song, S. Shi, J. Li, et al., “Directional skip-gram: Explicitly distinguishing left and right context for word embeddings,” in Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers), pp. 175–180, 2018.
    M. E. Peters, M. Neumann, M. Iyyer, et al., “Deep contextualized word representations,” arXiv preprint, arXiv: 1802.05365, 2018.
    “Cyc”, https://zh.wikipedia.org/wiki/Cyc, 2021-8-16.
    A. Singhal, “Introducing the knowledge graph: Things, not strings,” Official Google Blog, vol.5, Article No.16, 2012.
    T. Berners-Lee, “Linked data”, https://www.w3.org/DesignIssues/LinkedData.html, 2021-8-16.
    J. Ramos, “Using tf-idf to determine word relevance in document queries,” in Proceedings of the First Instructional Conference on Machine Learning, vol. 242, pp. 133–142, New Jersey, USA, 2003.
    M. Arenas, A. Bertails, E. Prudohommeaux, et al., “A direct mapping of relational data to rdf,” W3C Recommendation, vol.27, pp.1–11, 2012.
    J. Lehmann, R. Isele, M. Jakob, et al., “Dbpedia-A large-scale, multilingual knowledge base extracted from wikipedia,” Semantic web, vol.6, no.2, pp.167–195, 2015. doi: 10.3233/SW-140134
    X. Niu, X. Sun, H. Wang, et al., “Zhishi. me-weaving chinese linking open data,” in International Semantic Web Conference, pp. 205–220, Springer, 2011.
    W. Shen, J. Wang and J. Han, “Entity linking with a knowledge base: Issues, techniques, and solutions,” IEEE Transactions on Knowledge and Data Engineering, vol.27, no.2, pp.443–460, 2014.
    A. Bordes, N. Usunier, A. Garcia-Duran, et al., “Translating embeddings for modeling multi-relational data,” in Advances in Neural Information Processing Systems, pp. 2787–2795, 2013.
    H. Ning, “Internet of thinking,” The World Intelligence Congress, 2012.
    H. Ning, H. Liu, J. Ma, et al., “Cybermatics: Cyber-physical-social-thinking hyperspace based science and technology,” Future Generation Computer Systems, vol.56, pp.5004–522, 2016.
    F. WANG and J. ZHANG, “Internet of minds: The concept, issues and platforms,” ACTA AUTOMATICA SINICA, vol.43, no.12, pp.2061–2070, 2017.
    Z. Zheng, S. Xie and H.-N. e. a. Dai, “Blockchain challenges and opportunities: A survey,” International Journal of Web and Grid Services, vol.14, no.4, pp.352–375, 2018. doi: 10.1504/IJWGS.2018.095647
    M. Nofer, P. Gomber, O. Hinz, et al., “Blockchain,” Business & Information Systems Engineering, vol.59, no.3, pp.183–187, 2017.
    F. R. Yu, “From the internet of information to the internet of intelligence,” arXiv preprint, arXiv: 1909.08068, 2019.
    L. Pessoa, “Understanding emotion with brain networks,” Current Opinion in Behavioral Sciences, vol.19, pp.19–25, 2018. doi: 10.1016/j.cobeha.2017.09.005
    P. Kim, G. W. Evans, M. Angstadt, et al., “Effects of childhood poverty and chronic stress on emotion regulatory brain function in adulthood,” Proceedings of the National Academy of Sciences, vol.110, no.46, pp.18442–18447, 2013. doi: 10.1073/pnas.1308240110
    M. Mather and J. F. Thayer, “How heart rate variability affects emotion regulation brain networks,” Current Opinion in Behavioral Sciences, vol.19, pp.98–104, 2018. doi: 10.1016/j.cobeha.2017.12.017
    A. Bender, E. Hutchins and D. Medin, “Anthropology in cognitive science,” Topics in Cognitive Science, vol.2, no.3, pp.374–385, 2010. doi: 10.1111/j.1756-8765.2010.01082.x
    S. Beller, A. Bender and D. L. Medin, “Should anthropology be part of cognitive science?,” Topics in Cognitive Science, vol.4, no.3, pp.342–353, 2012. doi: 10.1111/j.1756-8765.2012.01196.x
    M. D. Lee, A. H. Criss, B. Devezer, et al., “Robust modeling in cognitive science,” Computational Brain & Behavior, vol.2, no.3, pp.141–153, 2019.
    J. R. Busemeyer, “Cognitive science contributions to decision science,” Cognition, vol.135, pp.43–46, 2015. doi: 10.1016/j.cognition.2014.11.010
    V. Y. Tsvetkov, “Cognitive science of information retrieval,” European Journal of Psychological Studies, no.1, pp.37–44, 2015.
    R. Núñez, M. Allen, R. Gao, et al., “What happened to cognitive science?,” Nature Human Behaviour, vol.3, no.8, pp.782–791, 2019. doi: 10.1038/s41562-019-0626-2
    E. Cambria, D. Das, S. Bandyopadhyay, et al., “Affective computing and sentiment analysis,” in A Practical Guide to Sentiment Analysis, pp. 1-10, Springer, 2017.
    L. Atzori, A. Iera, G. Morabito, et al., “The social internet of things (SIoT)-When social networks meet the internet of things: Concept, architecture and network characterization,” Computer Networks, vol.56, no.16, pp.3594–3608, 2012. doi: 10.1016/j.comnet.2012.07.010
    B. Libet, “Do we have free will?,” Journal of Consciousness Studies, vol.6, no.8-9, pp.47–57, 1999.
    I. Asimov, I, Robot. New York, USA, Doubleday, 1950.
  • 加载中


    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Figures(3)  / Tables(5)

    Article Metrics

    Article views (268) PDF downloads(36) Cited by()
    Proportional views


    DownLoad:  Full-Size Img  PowerPoint