| Parallel cognition: hybrid intelligence for human-machine interaction and management | |
Ye, Peijun1 ; Wang, Xiao1,2; Zheng, Wenbo3; Wei, Qinglai1,4; Wang, Fei-Yue1,2,4
| |
| Source Publication | FRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING
 |
| ISSN | 2095-9184 |
| 2022-08-04 | |
| Pages | 15 |
| Corresponding Author | Wang, Fei-Yue(feiyue.wang@ia.ac.cn) |
| Abstract | As an interdisciplinary research approach, traditional cognitive science adopts mainly the experiment, induction, modeling, and validation paradigm. Such models are sometimes not applicable in cyber-physical-social-systems (CPSSs), where the large number of human users involves severe heterogeneity and dynamics. To reduce the decision-making conflicts between people and machines in human-centered systems, we propose a new research paradigm called parallel cognition that uses the system of intelligent techniques to investigate cognitive activities and functionals in three stages: descriptive cognition based on artificial cognitive systems (ACSs), predictive cognition with computational deliberation experiments, and prescriptive cognition via parallel behavioral prescription. To make iteration of these stages constantly on-line, a hybrid learning method based on both a psychological model and user behavioral data is further proposed to adaptively learn an individual's cognitive knowledge. Preliminary experiments on two representative scenarios, urban travel behavioral prescription and cognitive visual reasoning, indicate that our parallel cognition learning is effective and feasible for human behavioral prescription, and can thus facilitate human-machine cooperation in both complex engineering and social systems. |
| Keyword | Cognitive learning Artificial intelligence Behavioral prescription TP181 |
| DOI | 10.1631/FITEE.2100335 |
| WOS Keyword | SYSTEMS ; STIMULATION ; MECHANISMS ; CORTEX ; RISK |
| Indexed By | SCI |
| Language | 英语 |
| Funding Project | National Natural Science Foundation of China[62076237] ; National Natural Science Foundation of China[62073321] ; National Natural Science Foundation of China[U1811463] ; Youth Innovation Promotion Association, Chinese Academy of Sciences[2021130] |
| Funding Organization | National Natural Science Foundation of China ; Youth Innovation Promotion Association, Chinese Academy of Sciences |
| WOS Research Area | Computer Science ; Engineering |
| WOS Subject | Computer Science, Information Systems ; Computer Science, Software Engineering ; Engineering, Electrical & Electronic |
| WOS ID | WOS:000836492600001 |
| Publisher | ZHEJIANG UNIV PRESS |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.ia.ac.cn/handle/173211/49810 |
| 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 | Wang, Fei-Yue |
| Affiliation | 1.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 2.Qingdao Acad Intelligent Ind, Qingdao 266109, Peoples R China 3.Xi An Jiao Tong Univ, Sch Software Engn, Xian 710049, Peoples R China 4.Macau Univ Sci & Technol, Macao Inst Syst Engn, Macau 999078, Peoples R China |
| First Author Affilication | Institute of Automation, Chinese Academy of Sciences |
| Corresponding Author Affilication | Institute of Automation, Chinese Academy of Sciences |
| Recommended Citation GB/T 7714 | Ye, Peijun,Wang, Xiao,Zheng, Wenbo,et al. Parallel cognition: hybrid intelligence for human-machine interaction and management[J]. FRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING,2022:15. |
| APA | Ye, Peijun,Wang, Xiao,Zheng, Wenbo,Wei, Qinglai,&Wang, Fei-Yue.(2022).Parallel cognition: hybrid intelligence for human-machine interaction and management.FRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING,15. |
| MLA | Ye, Peijun,et al."Parallel cognition: hybrid intelligence for human-machine interaction and management".FRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING (2022):15. |
| 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