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 PublicationFRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING
ISSN2095-9184
2022-08-04
Pages15
Corresponding AuthorWang, Fei-Yue(feiyue.wang@ia.ac.cn)
AbstractAs 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.
KeywordCognitive learning Artificial intelligence Behavioral prescription TP181
DOI10.1631/FITEE.2100335
WOS KeywordSYSTEMS ; STIMULATION ; MECHANISMS ; CORTEX ; RISK
Indexed BySCI
Language英语
Funding ProjectNational 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 OrganizationNational Natural Science Foundation of China ; Youth Innovation Promotion Association, Chinese Academy of Sciences
WOS Research AreaComputer Science ; Engineering
WOS SubjectComputer Science, Information Systems ; Computer Science, Software Engineering ; Engineering, Electrical & Electronic
WOS IDWOS:000836492600001
PublisherZHEJIANG UNIV PRESS
Citation statistics
Document Type期刊论文
Identifierhttp://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 AuthorWang, Fei-Yue
Affiliation1.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 AffilicationInstitute of Automation, Chinese Academy of Sciences
Corresponding Author AffilicationInstitute 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.
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