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

doi:10.1631/FITEE.2100418

CORC > 自动化研究所 > 中国科学院自动化研究所 > 复杂系统管理与控制国家重点实验室 > 先进控制与自动化团队

	Mutually trustworthy human-machine knowledge automation and hybrid augmented intelligence: mechanisms and applications of cognition, management, and control for complex systems
	Wang, Fei-Yue 4; Guo, Jianbo 3; Bu, Guangquan 2; Zhang, Jun Jason 1
刊名	FRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING
	2022-06-28
页码	16
关键词	Complex systems Human-machine knowledge automation Parallel systems Bulk power grid dispatch Artificial intelligence Internet of Minds (IoM) TP11
ISSN号	2095-9184
DOI	10.1631/FITEE.2100418
通讯作者	Zhang, Jun Jason(jun.zhang.ee@whu.edu.cn)
英文摘要	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.
资助项目	National Key R&D Program of China[2018AAA0101504] ; Science and Technology Project of the State Grid Corporation of China
WOS研究方向	Computer Science ; Engineering
语种	英语
出版者	ZHEJIANG UNIV PRESS
WOS记录号	WOS:000817899100001
资助机构	National Key R&D Program of China ; Science and Technology Project of the State Grid Corporation of China
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/49182]
专题	自动化研究所_复杂系统管理与控制国家重点实验室_先进控制与自动化团队
通讯作者	Zhang, Jun Jason
作者单位	1.Wuhan Univ, Sch Elect Engn & Automat, Wuhan 430072, Peoples R China 2.China Elect Power Res Inst, Beijing 100192, Peoples R China 3.State Grid Cooperat China, Beijing 100031, Peoples R China 4.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
推荐引用方式 GB/T 7714	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.