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Volume 10 Issue 11
Nov.  2023

IEEE/CAA Journal of Automatica Sinica

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Article Navigation >  IEEE/CAA Journal of Automatica Sinica  > 2023  >  10(11): 2041-2044
Y. T. Wang, X. Wang, X. X. Wang, J. Yang, O. Kwan, L. X. Li, and F.-Y. Wang, “The ChatGPT after: Building knowledge factories for knowledge workers with knowledge automation,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 11, pp. 2041–2044, Nov. 2023. doi: 10.1109/JAS.2023.123966
Citation: Y. T. Wang, X. Wang, X. X. Wang, J. Yang, O. Kwan, L. X. Li, and F.-Y. Wang, “The ChatGPT after: Building knowledge factories for knowledge workers with knowledge automation,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 11, pp. 2041–2044, Nov. 2023. doi: 10.1109/JAS.2023.123966
shu

The ChatGPT After: Building Knowledge Factories for Knowledge Workers with Knowledge Automation

doi: 10.1109/JAS.2023.123966
  • 1.

    State Key Laboratory for Management and Control of Complex Systems, Chinese Academy of Sciences, Beijing 100190, China

  • 2.

    School of Artificial Intelligence, Anhui University, Hefei 230039, China

  • 3.

    Motion G, Inc, 068898, Singapore

  • 4.

    Department of Electrical and Computer Engineering, Purdue School of Engineering and Technology, Indiana University-Purdue University Indianapolis, Indiana 46202-5132 USA

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    • References(29)
  • [1]
    F. -Y. Wang, “New control paradigm for industry 5.0: From big models to foundation control and management,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 8, pp. 1643–1646, 2023. doi: 10.1109/JAS.2023.123768
    [2]
    J. Wang et al., “A framework and operational procedures for metaverses-based industrial foundation models,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 53, no. 4, pp. 2037–2046, 2022.
    [3]
    X. Li, Y. Tian et al., “A novel scenarios engineering methodology for foundation models in metaverse,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 53, no. 4, pp. 2148–2159, 2022.
    [4]
    J. Yang, S. Li et al., “DeFACT in manuverse for parallel manufacturing: Foundation models and parallel workers in smart factories,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 53, no. 4, pp. 2188–2199, 2022.
    [5]
    J. Lu, X. Wang et al., “Parallel factories for smart industrial operations: From big AI models to field foundational models and scenarios engineering,” IEEE/CAA J. Autom. Sinica, vol. 9, no. 12, pp. 2079–2086, 2022. doi: 10.1109/JAS.2022.106094
    [6]
    X. Wang, J. Yang et al., “Steps toward industry 5.0: Building “6S” parallel industries with cyber-physical-social intelligence,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 8, pp. 1692–1703, 2023.
    [7]
    F. -Y. Wang, J. Yang et al., “Chat with ChatGPT on industry 5.0: Learning and decision-making for intelligent industries,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 4, pp. 831–834, 2023. doi: 10.1109/JAS.2023.123552
    [8]
    J. Li, R. Qin et al., “Logistics 5.0: From intelligent networks to sustainable ecosystems,” IEEE Transactions on Intelligent Vehicles, vol. 8, no. 7, pp. 3771–3774, 2023. doi: 10.1109/TIV.2023.3295796
    [9]
    L. Chen, J. Xie et al., “Mining 5.0: Concept and framework for intelligent mining systems in CPSS,” IEEE Transactions on Intelligent Vehicles, vol. 8, no. 6, pp. 3533–3536, 2023. doi: 10.1109/TIV.2023.3285417
    [10]
    Y. Chen, H. Zhang et al., “Society-centered and DAO-powered sustainability in transportation 5.0: An intelligent vehicles perspective,” IEEE Transactions on Intelligent Vehicles, vol. 8, no. 4, pp. 2635–2638, 2023. doi: 10.1109/TIV.2023.3264585
    [11]
    F. -Y. Wang, Q. Miao et al., “What does ChatGPT say: The DAO from algorithmic intelligence to linguistic intelligence,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 3, pp. 575–579, 2023.
    [12]
    J. -W. Lu, C. Guo et al., “The ChatGPT after: Opportunities and challenges of very large scale pre-trained models,” Acta Automatica Sinica, vol. 49, no. 4, pp. 705–717, 2023.
    [13]
    J. Zhou et al., “ChatGPT: Potential, prospects, and limitations,” Frontiers of Information Technology & Electronic Engineering, pp. 1–6, 2023.
    [14]
    Y. Gao, W. Tong et al., “Chat with ChatGPT on interactive engines for intelligent driving,” IEEE Transactions on Intelligent Vehicles, vol. 8, no. 3, pp. 2034–2036, 2023.
    [15]
    X. Wang, J. Yang et al., “Metaverses and demetaverses: From digital twins in CPS to parallel intelligence in CPSS,” IEEE Intelligent Systems, vol. 37, no. 4, pp. 97–102, 2022.
    [16]
    F. -Y. Wang, “Parallel intelligence in metaverses: Welcome to Hanoi!” IEEE Intelligent Systems, vol. 37, no. 1, pp. 16–20, 2022.
    [17]
    F. -Y. Wang, “The DAO to metacontrol for metasystems in metaverses: The system of parallel control systems for knowledge automation and control intelligence in CPSS.”
    [18]
    P. Ye et al., “Parallel cognition: Hybrid intelligence for human-machine interaction and management,” Frontiers of Information Technology & Electronic Engineering, vol. 23, no. 12, pp. 1765–1779, 2022.
    [19]
    X. Li, P. Ye et al., “From features engineering to scenarios engineering for trustworthy AI: I&I, C&C, and V&V,” IEEE Intelligent Systems, vol. 37, no. 4, pp. 18–26, 2022.
    [20]
    F. -Y. Wang, Y. Tang, and P. J. Werbos, “Guest editorial: cyber–physical–social intelligence: toward metaverse-based smart societies of 6I and 6S,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 53, no. 4, pp. 2018–2024, 2023.
    [21]
    Y. Shen, Y. Liu et al., “Parallel sensing in metaverses: Virtual-real interactive smart systems for “6S” sensing,” IEEE/CAA J. Autom. Sinica, vol. 9, no. 12, pp. 2047–2054, 2022.
    [22]
    F. -Y. Wang, “Parallel management: The DAO to smart ecological technology for complexity management intelligence,” Acta Automatica Sinica, vol. 48, no. 11, pp. 2655–2669, 2022.
    [23]
    L. Chen et al., “Parallel mining operating systems: From digital twins to mining intelligence,” in IEEE 1st International Conference on Digital Twins and Parallel Intelligence (DTPI). IEEE, 2021, pp. 469–473.
    [24]
    Y. -J. Wang, F. -Y. Wang et al., “Parallel hospitals: From hospital information system (HIS) to hospital smart operating system (HSOS),” Acta Automatica Sinica, vol. 47, no. 11, p. 25852599, 2021.
    [25]
    F. -Y. Wang, “Parallel doctors and parallel hospitals: Impact and perspective of chatgpt-like AIGC and AGI on medicine and medicare,” Medical Journal of Peking Union Medical College Hospital, vol. 14, no. 4, pp. 673–679, 2023.
    [26]
    F. -Y. Wang and Y. Gao, Advanced studies of flexible robotic manipulators: modeling, design, control and applications. World Scientific, 2003, vol. 4.
    [27]
    P. Ye and F. -Y. Wang, “Parallel population and parallel human—a cyberphysical social approach,” IEEE Intelligent Systems, vol. 37, no. 5, pp. 19–27, 2022.
    [28]
    J. Yang, X. Wang et al., “Parallel manufacturing for industrial metaverses: A new paradigm in smart manufacturing,” IEEE/CAA J. Autom. Sinica, vol. 9, no. 12, pp. 2063–2070, 2022.
    [29]
    F. -Y. Wang, W. Ding et al., “The DAO to DeSci: AI for free, fair, and responsibility sensitive sciences,” IEEE Intelligent Systems, vol. 37, no. 2, pp. 16–22, 2022.
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