Hybrid-augmented intelligence: collaboration and cognition
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
2017-02-01
发表期刊FRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING
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
DOI10.1631/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:6[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
专题复杂系统管理与控制国家重点实验室_先进控制与自动化
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.
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Zheng, Nan-ning]的文章
[Liu, Zi-yi]的文章
[Ren, Peng-ju]的文章
百度学术
百度学术中相似的文章
[Zheng, Nan-ning]的文章
[Liu, Zi-yi]的文章
[Ren, Peng-ju]的文章
必应学术
必应学术中相似的文章
[Zheng, Nan-ning]的文章
[Liu, Zi-yi]的文章
[Ren, Peng-ju]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。