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

doi:10.1631/FITEE.2100335

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 平行智能技术与系统团队

	Parallel cognition: hybrid intelligence for human-machine interaction and management
	Ye, Peijun1 ; Wang, Xiao1,2 ; Zheng, Wenbo 3; Wei, Qinglai1,4 ; Wang, Fei-Yue1,2,4
发表期刊	FRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING
ISSN	2095-9184
	2022-08-04
页码	15
通讯作者	Wang, Fei-Yue(feiyue.wang@ia.ac.cn)
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.
关键词	Cognitive learning Artificial intelligence Behavioral prescription TP181
DOI	10.1631/FITEE.2100335
关键词[WOS]	SYSTEMS ; STIMULATION ; MECHANISMS ; CORTEX ; RISK
收录类别	SCI
语种	英语
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]
项目资助者	National Natural Science Foundation of China ; Youth Innovation Promotion Association, Chinese Academy of Sciences
WOS研究方向	Computer Science ; Engineering
WOS类目	Computer Science, Information Systems ; Computer Science, Software Engineering ; Engineering, Electrical & Electronic
WOS记录号	WOS:000836492600001
出版者	ZHEJIANG UNIV PRESS
引用统计	被引频次：15[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/49810
专题	多模态人工智能系统全国重点实验室_平行智能技术与系统团队
通讯作者	Wang, Fei-Yue
作者单位	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
第一作者单位	中国科学院自动化研究所
通讯作者单位	中国科学院自动化研究所
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.