Knowledge Commons of Institute of Automation,CAS
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 | |
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 | |
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. |
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