Mutually trustworthy human-machine knowledge automation and hybrid augmented intelligence: mechanisms and applications of cognition, management, and control for complex systems

Fei-Yue WANG; Jianbo GUO; Guangquan BU; Jun Jason ZHANG

doi:10.1631/FITEE.2100418

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Mutually trustworthy human-machine knowledge automation and hybrid augmented intelligence: mechanisms and applications of cognition, management, and control for complex systems

Special Feature on Human‒Machine Collaboration and Cognitive Computation | Updated：2022-09-08

- Mutually trustworthy human-machine knowledge automation and hybrid augmented intelligence: mechanisms and applications of cognition, management, and control for complex systems
- 人机互信的知识自动化与混合增强智能: 复杂系统认知管控机制及其应用
- Frontiers of Information Technology & Electronic Engineering Vol. 23, Issue 8, Pages: 1142-1157(2022)
- Affiliations：
  
  1.The State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing100190, China
  2.State Grid Cooperation of China, Beijing100031, China
  3.China Electric Power Research Institute, Beijing100192, China
  4.School of Electrical Engineering and Automation, Wuhan University, Wuhan430072, China
- Author bio：
  
  ‡Corresponding authors
- Funds：
- DOI：10.1631/FITEE.2100418
  CLC： TP11
- Received：02 September 2021，
  
  Revised：2021-10-03，
  
  Published Online：28 June 2022，
  
  Published：23 August 2022
- Accepted：
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Fei-Yue WANG, Jianbo GUO, Guangquan BU, et al. Mutually trustworthy human-machine knowledge automation and hybrid augmented intelligence: mechanisms and applications of cognition, management, and control for complex systems[J]. Frontiers of Information Technology & Electronic Engineering, 2022, 23(8): 1142-1157.
DOI：

Fei-Yue WANG, Jianbo GUO, Guangquan BU, et al. Mutually trustworthy human-machine knowledge automation and hybrid augmented intelligence: mechanisms and applications of cognition, management, and control for complex systems[J]. Frontiers of Information Technology & Electronic Engineering, 2022, 23(8): 1142-1157. DOI： 10.1631/FITEE.2100418.

摘要

本文旨在阐述复杂系统认知、管理和控制中人机互信的混合增强智能和知识自动化机制与应用。本文从复杂系统研究的发展历程出发，通过对复杂系统的特性、人工智能科技、人机混合增强智能科技及其在复杂系统管控中的必要性阐述，分析了人类智能、机器智能在复杂系统管控中的优势与局限性，并提出“人机互信知识自动化”的概念。以电力系统大电网调控为背景，阐述了未来人机混合智能在大电网调度中可能的技术路径和应用基础，并以潮流校正控制为例，说明人机知识自动化任务流程的完成过程。通过本文内容的阐述，希望对基于人机混合增强智能的复杂系统管理和控制的理论方法提供一种新的机制和应用路径，并对社会典型复杂系统管控的数字化、智能化建设起到积极作用。

Abstract

In this paper

we aim to illustrate the concept of mutually trustworthy human-machine knowledge automation (HM-KA) as the technical mechanism of hybrid augmented intelligence (HAI) based complex system cognition

management

and control (CMC). We describe the historical development of complex system science and analyze the limitations of human intelligence and machine intelligence. The need for using human-machine HAI in complex systems is then explained in detail. The concept of “mutually trustworthy HM-KA” mechanism is proposed to tackle the CMC challenge

and its technical procedure and pathway are demonstrated using an example of corrective control in bulk power grid dispatch. It is expected that the proposed mutually trustworthy HM-KA concept can provide a novel and canonical mechanism and benefit real-world practices of complex system CMC.

关键词

Keywords

references

Binney JJ , Dowrick NJ , Fisher AJ , et al. , 1992 . The Theory of Critical Phenomena: an Introduction to the Renormalization Group . Clarendon Press , Oxford, UK .

Chen SY , Duan JJ , Bai YY , et al. , 2021 . Active power correction strategies based on deep reinforcement learning—Part II: a distributed solution for adaptability . CSEE J Power Energy Syst , early access . https://doi.org/10.17775/CSEEJPES.2020.07070 https://doi.org/10.17775/CSEEJPES.2020.07070

Dai YX , Chen QM , Gao TL , et al. , 2021a . Deep reinforcement learning control policy extraction based on weighted oblique decision tree . Electr Power Inform Commun Technol , 19 ( 11 ): 17 - 23 .

Dai YX , Zhang J , Ji ZX , et al. , 2021b . Intelligent diagnosis and auxiliary decision of power system secondary equipment based on functional defect text . Electr Power Autom Equip , 41 ( 6 ): 184 - 191 . https://doi.org/10.16081/j.epae.202106006 https://doi.org/10.16081/j.epae.202106006

Gallagher R , Appenzeller T , 1999 . Beyond reductionism . Science , 284 ( 5411 ): 79 . https://doi.org/10.1126/science.284.5411.79 https://doi.org/10.1126/science.284.5411.79

Haken H , 1977 . Synergetics . Phys Bull , 28 ( 9 ): 412 - 414 . https://doi.org/10.1088/0031-9112/28/9/027 https://doi.org/10.1088/0031-9112/28/9/027

He HL , Guo JB , Song YT , et al. , 2008 . Risk based probabilistic security evaluation algorithm of bulk power system . 3 rd Int Conf on Electric Utility Deregulation and Restructuring and Power Technologies , p. 1231 - 1236 . https://doi.org/10.1109/DRPT.2008.4523595 https://doi.org/10.1109/DRPT.2008.4523595

Hey T , Tansley S , Tolle K , 2009 . The Fourth Paradigm: Data-Intensive Scientific Discovery . Microsoft Research , Redmond, USA .

Holland JH , 1995 . Hidden Order: How Adaptation Builds Complexity . Addison-Wesley , New York, USA .

Liu XT , Liang BC , Liu L , et al. , 2008 . The Theory, Method & Technique for Complex System Modeling . Science Press , Beijing, China (in Chinese) .

Lorenz EN , 1963 . Deterministic nonperiodic flow . J Atmos Sci , 20 ( 2 ): 130 - 141 .

Mandelbrot BB , 1989 . Fractal geometry: what is it, and what does it do? Proc Roy Soc Lond A Math Phys Sci , 423 ( 1864 ): 3 - 16 . https://doi.org/10.1098/rspa.1989.0038 https://doi.org/10.1098/rspa.1989.0038

Manoj BS , Chakraborty A , Singh R , 2018 . Complex Networks: a Networking and Signal Processing Perspective . Prentice Hall , Boston, USA .

Miller JH , Page SE , 2007 . Complex Adaptive Systems: an Introduction to Computational Models of Social Life . Princeton University Press , Princeton, UK .

Prigogine I , Lefever R , 1973 . Theory of dissipative structures . In: Haken H (Ed.), Synergetics . Vieweg+Teubner Verlag , Wiesbaden, Germany , p. 124 - 135 . https://doi.org/10.1007/978-3-663-01511-6_10 https://doi.org/10.1007/978-3-663-01511-6_10

RTE-France , 2021 . Grid2Op . https://github.com/rte-france/Grid2Op https://github.com/rte-france/Grid2Op [ Accessed on July 13, 2021 ].

Sayama H , 2015 . Introduction to the Modeling and Analysis of Complex Systems . Open SUNY Textbooks , New York, USA .

Shannon CE , 1948 . A mathematical theory of communication . Bell Syst Tech J , 27 ( 3 ): 379 - 423 . https://doi.org/10.1002/j.1538-7305.1948.tb01338.x https://doi.org/10.1002/j.1538-7305.1948.tb01338.x

Song YT , He HL , Zhang DX , et al. , 2006 . Prsobabilistic security evaluation of bulk power system considering cascading outages . Int Conf on Power System Technology , p. 1 - 6 . https://doi.org/10.1109/ICPST.2006.321614 https://doi.org/10.1109/ICPST.2006.321614

Thom R , 1975 . Structural Stability and Morphogenesis . Addison-Wesley Benjamin, Inc. , New York, USA .

Thurner S , Hanel R , Klimek P , 2018 . Introduction to the Theory of Complex Systems . Oxford University Press , Oxford, UK .

Vadari S , 2012 . Electric System Operations: Evolving to the Modern Grid . Artech House , Boston, USA .

von Bertalanffy L , 1968 . General System Theory . George Braziller Inc. , New York, USA .

Wang FY , 2004 . Parallel system methods for management and control of complex systems . Contr Dec , 19 ( 5 ): 485 - 489, 514 (in Chinese) . https://doi.org/10.3321/j.issn:1001-0920.2004.05.002 https://doi.org/10.3321/j.issn:1001-0920.2004.05.002

Wang FY , Chen JL , 2020 . Intelligent Control Method and Application . China Science and Technology Press , Beijing, China (in Chinese) .

Wang FY , Zhang J , 2017 . Internet of Minds: the concept, issues and platforms . Acta Autom Sin , 43 ( 12 ):‍ 2061 - 2070 (in Chinese) . https://doi.org/10.16383/j.aas.2017.y000006 https://doi.org/10.16383/j.aas.2017.y000006

Wang FY , Zhang J , Zhang J , et al. , 2018 . Industrial Internet of Minds: concept, technology and application . Acta Autom Sin , 44 ( 9 ): 1606 - 1617 (in Chinese) . https://doi.org/10.16383/j.aas.2018.y000004 https://doi.org/10.16383/j.aas.2018.y000004

Wickens CD , Gordon SE , Liu YL , 1998 . An Introduction to Human Factors Engineering . Longman , New York, USA .

Wiener N , 1948 . Cybernetics or Control and Communication in the Animal and the Machine . John Wiley & Sons Inc. , New York, USA .

Xu PD , Duan JJ , Zhang J , et al. , 2021 . Active power correction strategies based on deep reinforcement learning—Part I: a simulation-driven solution for robustness . CSEE J Power Energy Syst , early access . https://doi.org/10.17775/CSEEJPES.2020.07090 https://doi.org/10.17775/CSEEJPES.2020.07090

Zhang K , Zhang J , Xu PD , et al. , 2021a . Explainable AI in deep reinforcement learning models for power system emergency control . IEEE Trans Comput Soc Syst , 9 ( 2 ): 419 - 427 . https://doi.org/10.1109/TCSS.2021.3096824 https://doi.org/10.1109/TCSS.2021.3096824

Zhang K , Xu PD , Gao TL , et al. , 2021b . A trustworthy framework of artificial intelligence for power grid dispatching systems . IEEE 1 st Int Conf on Digital Twins and Parallel Intelligence , p. 418 - 421 .

Zhang TY , Gao TL , Xu PD , et al. , 2020 . A review of AI and AI intelligence assessment . IEEE 4 th Conf on Energy Internet and Energy System Integration , p. 3039 - 3044 .

Zheng NN , Liu ZY , Ren PJ , et al. , 2017 . Hybrid-augmented intelligence: collaboration and cognition . Front Inform Technol Electron Eng , 18 ( 2 ): 153 - 179 . https://doi.org/10.1631/FITEE.1700053 https://doi.org/10.1631/FITEE.1700053

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