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Hybrid-augmented intelligence: collaboration and cognition

文献类型：期刊论文

作者Zheng, Nan-ning1,2; Liu, Zi-yi1,2; Ren, Peng-ju1,2; Ma, Yong-qiang1,2; Chen, Shi-tao1,2; Yu, Si-yu1,2; Xue, Jian-ru1,2; Chen, Ba-dong1,2; Wang, Fei-yue3
刊名FRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING
出版日期2017-02-01
卷号18期号:2页码:153-179
关键词Human-machine collaboration Hybrid-augmented intelligence Cognitive computing Intuitive reasoning Causal model Cognitive mapping Visual scene understanding Self-driving cars
英文摘要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.
WOS标题词Science & Technology ; Technology
类目[WOS]Computer Science, Information Systems ; Computer Science, Software Engineering ; Engineering, Electrical & Electronic
研究领域[WOS]Computer Science ; Engineering
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
WOS记录号WOS:000394541400001
源URL[http://ir.ia.ac.cn/handle/173211/14422]  
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
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.

入库方式： OAI收割

来源：自动化研究所

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