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 ORCID:

Wen-jun Wu

http://orcid.org/0000-0002-8659-481X

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Frontiers of Information Technology & Electronic Engineering  2017 Vol.18 No.1 P.15-43

http://doi.org/10.1631/FITEE.1601859


Crowd intelligence in AI 2.0 era


Author(s):  Wei Li, Wen-jun Wu, Huai-min Wang, Xue-qi Cheng, Hua-jun Chen, Zhi-hua Zhou, Rong Ding

Affiliation(s):  State Key Laboratory of Software Development, Beihang University, Beijing 100191, China; more

Corresponding email(s):   wwj@nlsde.buaa.edu.cn

Key Words:  Crowd intelligence, Artificial intelligence 2.0, Crowdsourcing, Human computation


Wei Li, Wen-jun Wu, Huai-min Wang, Xue-qi Cheng, Hua-jun Chen, Zhi-hua Zhou, Rong Ding. Crowd intelligence in AI 2.0 era[J]. Frontiers of Information Technology & Electronic Engineering, 2017, 18(1): 15-43.

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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-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.

AI2.0时代的群体智能

概要:基于互联网的信息物理世界深刻地改变了人工智能(artificial intelligence, AI)发展的信息环境,将人工智能研究的新浪潮推进到人工智能2.0新纪元。作为AI2.0时代最突出的研究特点之一,群体智能引起了产业界和学术界的广泛关注。具体来说,为应对挑战,群体智能提供了一种通过聚集群体的智慧解决问题的新模式。特别是由于共享经济的快速发展,群体智能不仅成为了解决科学难题的新途径,而且也已融入日常生活的各个方面,例如线上到线下(online-to-offline, O2O)应用、实时交通监控、以及物流管理。本文对现有群体智能研究成果进行总结和综述:首先,论述了群体智能的基本概念,并对其与现有相关概念(如众包和人本计算)的关系进行了解释。然后,介绍了四类具有代表性的群体智能平台,总结了三项核心问题以及最新的群体智能技术。最后,讨论了群体智能研究的未来发展方向。

关键词:群体智能;人工智能2.0(AI2.0);众包;人本计算

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

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