Hybrid-augmented intelligence: collaboration and cognition

doi:10.1631/FITEE.1700053

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

	Hybrid-augmented intelligence: collaboration and cognition
	Zheng, Nan-ning 1,2; Liu, Zi-yi 1,2; Ren, Peng-ju 1,2; Ma, Yong-qiang 1,2; Chen, Shi-tao 1,2; Yu, Si-yu 1,2; Xue, Jian-ru 1,2; Chen, Ba-dong 1,2; Wang, Fei-yue3
发表期刊	FRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING
	2017-02-01
卷号	18 期号:2 页码:153-179
文章类型	Review
摘要	The long-term goal of artificial intelligence (AI) is to make machines learn and think like human beings. Due to the high levels of uncertainty and vulnerability in human life and the open-ended nature of problems that humans are facing, no matter how intelligent machines are, they are unable to completely replace humans. Therefore, it is necessary to introduce human cognitive capabilities or human-like cognitive models into AI systems to develop a new form of AI, that is, hybrid-augmented intelligence. This form of AI or machine intelligence is a feasible and important developing model. Hybrid-augmented intelligence can be divided into two basic models: one is human-in-the-loop augmented intelligence with human-computer collaboration, and the other is cognitive computing based augmented intelligence, in which a cognitive model is embedded in the machine learning system. This survey describes a basic framework for human-computer collaborative hybrid-augmented intelligence, and the basic elements of hybrid-augmented intelligence based on cognitive computing. These elements include intuitive reasoning, causal models, evolution of memory and knowledge, especially the role and basic principles of intuitive reasoning for complex problem solving, and the cognitive learning framework for visual scene understanding based on memory and reasoning. Several typical applications of hybrid-augmented intelligence in related fields are given.
关键词	Human-machine Collaboration Hybrid-augmented Intelligence Cognitive Computing Intuitive Reasoning Causal Model Cognitive Mapping Visual Scene Understanding Self-driving Cars
WOS标题词	Science & Technology ; Technology
DOI	10.1631/FITEE.1700053
关键词[WOS]	UNMANNED AERIAL VEHICLE ; ARTIFICIAL-INTELLIGENCE ; NEURAL-NETWORKS ; IBM WATSON ; BIG DATA ; SYSTEMS ; CAUSALITY ; MEMORY ; RECOGNITION ; PERCEPTION
收录类别	SCI ; SSCI
语种	英语
项目资助者	Chinese Academy of Engineering ; National Natural Science Foundation of China(L1522023) ; National Basic Research Program (973) of China(2015CB351703) ; National Key Research and Development Plan(2016YFB1001004 ; 2016YFB1000903)
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:000394541400001
引用统计	被引频次：160[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/173211/14422
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
作者单位	1.Xi An Jiao Tong Univ, Inst Artificial Intelligence & Robot, Xian 710049, Peoples R China 2.Xi An Jiao Tong Univ, Natl Engn Lab Visual Informat Proc Applicat, Xian 710049, Peoples R China 3.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	Zheng, Nan-ning,Liu, Zi-yi,Ren, Peng-ju,et al. Hybrid-augmented intelligence: collaboration and cognition[J]. FRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING,2017,18(2):153-179.
APA	Zheng, Nan-ning.,Liu, Zi-yi.,Ren, Peng-ju.,Ma, Yong-qiang.,Chen, Shi-tao.,...&Wang, Fei-yue.(2017).Hybrid-augmented intelligence: collaboration and cognition.FRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING,18(2),153-179.
MLA	Zheng, Nan-ning,et al."Hybrid-augmented intelligence: collaboration and cognition".FRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING 18.2(2017):153-179.