Mutually trustworthy human-machine knowledge automation and hybrid augmented intelligence: mechanisms and applications of cognition, management, and control for complex systems
Wang, Fei-Yue1; Guo, Jianbo2; Bu, Guangquan3; Zhang, Jun Jason4
Source PublicationFRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING
ISSN2095-9184
2022-06-28
Pages16
Corresponding AuthorZhang, Jun Jason(jun.zhang.ee@whu.edu.cn)
AbstractIn 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.
KeywordComplex systems Human-machine knowledge automation Parallel systems Bulk power grid dispatch Artificial intelligence Internet of Minds (IoM) TP11
DOI10.1631/FITEE.2100418
Indexed BySCI
Language英语
Funding ProjectNational Key R&D Program of China[2018AAA0101504] ; Science and Technology Project of the State Grid Corporation of China
Funding OrganizationNational Key R&D Program of China ; Science and Technology Project of the State Grid Corporation of China
WOS Research AreaComputer Science ; Engineering
WOS SubjectComputer Science, Information Systems ; Computer Science, Software Engineering ; Engineering, Electrical & Electronic
WOS IDWOS:000817899100001
PublisherZHEJIANG UNIV PRESS
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Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/49183
Collection复杂系统管理与控制国家重点实验室_平行智能技术与系统团队
Corresponding AuthorZhang, Jun Jason
Affiliation1.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
2.State Grid Cooperat China, Beijing 100031, Peoples R China
3.China Elect Power Res Inst, Beijing 100192, Peoples R China
4.Wuhan Univ, Sch Elect Engn & Automat, Wuhan 430072, Peoples R China
First Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
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Wang, Fei-Yue,Guo, Jianbo,Bu, Guangquan,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,2022:16.
APA Wang, Fei-Yue,Guo, Jianbo,Bu, Guangquan,&Zhang, Jun Jason.(2022).Mutually trustworthy human-machine knowledge automation and hybrid augmented intelligence: mechanisms and applications of cognition, management, and control for complex systems.FRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING,16.
MLA Wang, Fei-Yue,et al."Mutually trustworthy human-machine knowledge automation and hybrid augmented intelligence: mechanisms and applications of cognition, management, and control for complex systems".FRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING (2022):16.
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