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Parallel cognition: hybrid intelligence for human-machine interaction and management

文献类型：期刊论文

作者Ye, Peijun4; Wang, Xiao3,4; Zheng, Wenbo2; Wei, Qinglai1,4; Wang, Fei-Yue1,3,4
刊名FRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING
出版日期2022-08-04
页码15
ISSN号2095-9184
关键词Cognitive learning Artificial intelligence Behavioral prescription TP181
DOI10.1631/FITEE.2100335
通讯作者Wang, Fei-Yue(feiyue.wang@ia.ac.cn)
英文摘要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.
WOS关键词SYSTEMS ; STIMULATION ; MECHANISMS ; CORTEX ; RISK
资助项目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]
WOS研究方向Computer Science ; Engineering
语种英语
出版者ZHEJIANG UNIV PRESS
WOS记录号WOS:000836492600001
资助机构National Natural Science Foundation of China ; Youth Innovation Promotion Association, Chinese Academy of Sciences
源URL[http://ir.ia.ac.cn/handle/173211/49809]  
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Wang, Fei-Yue
作者单位1.Macau Univ Sci & Technol, Macao Inst Syst Engn, Macau 999078, Peoples R China
2.Xi An Jiao Tong Univ, Sch Software Engn, Xian 710049, Peoples R China
3.Qingdao Acad Intelligent Ind, Qingdao 266109, 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		 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.

入库方式： OAI收割

来源：自动化研究所

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