The Internet based cyber-physical world has profoundly changed the information environment for the development of artificialintelligence(AI), bringing a new wave of AI research and promoting it into the new era of AI...
详细信息
The Internet based cyber-physical world has profoundly changed the information environment for the development of artificialintelligence(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, crowdintelligence has attracted much attention from both industry and research communities. Specifically, crowdintelligence 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, crowdintelligence 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 crowdintelligence. First, we describe the concept of crowdintelligence, and explain its relationship to the existing related concepts, e.g., crowdsourcing and humancomputation. Then, we introduce four categories of representative crowdintelligence platforms. We summarize three core research problems and the state-of-the-art techniques of crowdintelligence. Finally, we discuss promising future research directions of crowdintelligence.
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