Crowd intelligence in AI 2.0 era

作者: Wei Li , Wen-jun Wu , Huai-min Wang , Xue-qi Cheng , Hua-jun Chen

DOI: 10.1631/FITEE.1601859

关键词:

摘要: The Internet based cyber-physical world has profoundly changed the information environment for development of artificial intelligence (AI), bringing a new wave AI research and promoting it into era 2.0. As one most prominent characteristics in 2.0 era, crowd attracted much attention from both industry communities. Specifically, provides novel problem-solving paradigm through gathering crowds to address challenges. In particular, due rapid sharing economy, not only becomes approach solving scientific challenges, but also been integrated all kinds application scenarios daily life, e.g., online-to-offline (O2O) application, real-time traffic monitoring, logistics management. this paper, we survey existing studies intelligence. First, describe concept intelligence, explain its relationship related concepts, crowdsourcing human computation. Then, introduce four categories representative platforms. We summarize three core problems state-of-the-art techniques Finally, discuss promising future directions

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