Crowd intelligence in AI 2.0 era
The Internet based cyber-physical world has profoundly changed the information environment for the development of artificial intelligence（AI）, bringing a new wave of AI research and promoting it into the new era of AI 2.0. As one of the most prominent characteristics of research in AI 2.0 era, crowd...
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| Published in | Frontiers of information technology & electronic engineering Vol. 18; no. 1; pp. 15 - 43 |
|---|---|
| Main Authors | , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Hangzhou
Zhejiang University Press
2017
Springer Nature B.V |
| Subjects | |
| Online Access | Get full text |
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| Abstract | The Internet based cyber-physical world has profoundly changed the information environment for the development of artificial intelligence（AI）, bringing a new wave of AI research and promoting it into the new era of AI 2.0. As one of the most prominent characteristics of research in AI 2.0 era, crowd intelligence has attracted much attention from both industry and research communities. Specifically, crowd intelligence provides a novel problem-solving paradigm through gathering the intelligence of crowds to address challenges. In particular, due to the rapid development of the sharing economy, crowd intelligence not only becomes a new approach to solving scientific challenges, but has also been integrated into all kinds of application scenarios in daily life, e.g., online-tooffline（O2O） application, real-time traffic monitoring, and logistics management. In this paper, we survey existing studies of crowd intelligence. First, we describe the concept of crowd intelligence, and explain its relationship to the existing related concepts, e.g., crowdsourcing and human computation. Then, we introduce four categories of representative crowd intelligence platforms. We summarize three core research problems and the state-of-the-art techniques of crowd intelligence. Finally, we discuss promising future research directions of crowd intelligence. |
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| AbstractList | The Internet based cyber-physical world has profoundly changed the information environment for the development of artificial intelligence（AI）, bringing a new wave of AI research and promoting it into the new era of AI 2.0. As one of the most prominent characteristics of research in AI 2.0 era, crowd intelligence has attracted much attention from both industry and research communities. Specifically, crowd intelligence provides a novel problem-solving paradigm through gathering the intelligence of crowds to address challenges. In particular, due to the rapid development of the sharing economy, crowd intelligence not only becomes a new approach to solving scientific challenges, but has also been integrated into all kinds of application scenarios in daily life, e.g., online-tooffline（O2O） application, real-time traffic monitoring, and logistics management. In this paper, we survey existing studies of crowd intelligence. First, we describe the concept of crowd intelligence, and explain its relationship to the existing related concepts, e.g., crowdsourcing and human computation. Then, we introduce four categories of representative crowd intelligence platforms. We summarize three core research problems and the state-of-the-art techniques of crowd intelligence. Finally, we discuss promising future research directions of crowd intelligence. The Internet based cyber-physical world has profoundly changed the information environment for the development of artificial intelligence (AI), bringing a new wave of AI research and promoting it into the new era of AI 2.0. As one of the most prominent characteristics of research in AI 2.0 era, crowd intelligence has attracted much attention from both industry and research communities. Specifically, crowd intelligence provides a novel problem-solving paradigm through gathering the intelligence of crowds to address challenges. In particular, due to the rapid development of the sharing economy, crowd intelligence not only becomes a new approach to solving scientific challenges, but has also been integrated into all kinds of application scenarios in daily life, e.g., online-to-offline (O2O) application, real-time traffic monitoring, and logistics management. In this paper, we survey existing studies of crowd intelligence. First, we describe the concept of crowd intelligence, and explain its relationship to the existing related concepts, e.g., crowdsourcing and human computation. Then, we introduce four categories of representative crowd intelligence platforms. We summarize three core research problems and the state-of-the-art techniques of crowd intelligence. Finally, we discuss promising future research directions of crowd intelligence. |
| Author | Wei LI Wen-jun WU Huai-min WANG Xue-qi CHENG Hua-jun CHEN Zhi-hua ZHOU Rong DING |
| AuthorAffiliation | State Key Laboratory of Software Development, Beihang University, Beijing 100191, China National Laboratory for Parallel and Distributed Processing, College of Computer, National University of Defense Technology, Changsha 410073, China Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China College of Computer Science and Technology, Zhejiang University, Hangzhou 310027, China National Key Laboratory for Novel Software Technology, Nanjing University, Nanjing 210023, China |
| Author_xml | – sequence: 1 givenname: Wei surname: Li fullname: Li, Wei organization: State Key Laboratory of Software Development, Beihang University – sequence: 2 givenname: Wen-jun surname: Wu fullname: Wu, Wen-jun email: wwj@nlsde.buaa.edu.cn organization: State Key Laboratory of Software Development, Beihang University – sequence: 3 givenname: Huai-min surname: Wang fullname: Wang, Huai-min organization: National Laboratory for Parallel and Distributed Processing, College of Computer, National University of Defense Technology – sequence: 4 givenname: Xue-qi surname: Cheng fullname: Cheng, Xue-qi organization: Institute of Computing Technology, Chinese Academy of Sciences – sequence: 5 givenname: Hua-jun surname: Chen fullname: Chen, Hua-jun organization: College of Computer Science and Technology, Zhejiang University – sequence: 6 givenname: Zhi-hua surname: Zhou fullname: Zhou, Zhi-hua organization: National Key Laboratory for Novel Software Technology, Nanjing University – sequence: 7 givenname: Rong surname: Ding fullname: Ding, Rong organization: National Key Laboratory for Novel Software Technology, Nanjing University |
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| Copyright | Zhejiang University and Springer-Verlag GmbH Germany, part of Springer Nature 2017 Zhejiang University and Springer-Verlag GmbH Germany, part of Springer Nature 2017. |
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| Notes | The Internet based cyber-physical world has profoundly changed the information environment for the development of artificial intelligence（AI）, bringing a new wave of AI research and promoting it into the new era of AI 2.0. As one of the most prominent characteristics of research in AI 2.0 era, crowd intelligence has attracted much attention from both industry and research communities. Specifically, crowd intelligence provides a novel problem-solving paradigm through gathering the intelligence of crowds to address challenges. In particular, due to the rapid development of the sharing economy, crowd intelligence not only becomes a new approach to solving scientific challenges, but has also been integrated into all kinds of application scenarios in daily life, e.g., online-tooffline（O2O） application, real-time traffic monitoring, and logistics management. In this paper, we survey existing studies of crowd intelligence. First, we describe the concept of crowd intelligence, and explain its relationship to the existing related concepts, e.g., crowdsourcing and human computation. Then, we introduce four categories of representative crowd intelligence platforms. We summarize three core research problems and the state-of-the-art techniques of crowd intelligence. Finally, we discuss promising future research directions of crowd intelligence. Crowd intelligence Artificial intelligence 2.0 Crowdsourcing Human computation 33-1389/TP ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
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| Snippet | The Internet based cyber-physical world has profoundly changed the information environment for the development of artificial intelligence（AI）, bringing a new... The Internet based cyber-physical world has profoundly changed the information environment for the development of artificial intelligence (AI), bringing a new... |
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| SubjectTerms | Algorithms Artificial intelligence Collaboration Communications Engineering Computer Hardware Computer Science Computer Systems Organization and Communication Networks Computers Crowdsourcing Decision making Economic development Electrical Engineering Electronics and Microelectronics Instrumentation Internet access Logistics management Management science Networks Open source software Review Sharing economy Social psychology Software development |
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| Title | Crowd intelligence in AI 2.0 era |
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