| 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 Publication | FRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING
 |
| ISSN | 2095-9184 |
| 2022-06-28 | |
| Pages | 16 |
| Corresponding Author | Zhang, Jun Jason(jun.zhang.ee@whu.edu.cn) |
| 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. |
| Keyword | Complex systems Human-machine knowledge automation Parallel systems Bulk power grid dispatch Artificial intelligence Internet of Minds (IoM) TP11 |
| DOI | 10.1631/FITEE.2100418 |
| Indexed By | SCI |
| Language | 英语 |
| Funding Project | National Key R&D Program of China[2018AAA0101504] ; Science and Technology Project of the State Grid Corporation of China |
| Funding Organization | National Key R&D Program of China ; Science and Technology Project of the State Grid Corporation of China |
| WOS Research Area | Computer Science ; Engineering |
| WOS Subject | Computer Science, Information Systems ; Computer Science, Software Engineering ; Engineering, Electrical & Electronic |
| WOS ID | WOS:000817899100001 |
| Publisher | ZHEJIANG UNIV PRESS |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://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 Author | Zhang, Jun Jason |
| Affiliation | 1.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 Affilication | Institute of Automation, Chinese Academy of Sciences |
| Recommended Citation 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. |
| Files in This Item: | There are no files associated with this item. | |||||
Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.
Edit Comment