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Crowd intelligence in AI 2.0 era 被引量:38
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作者 Wei LI Wen-jun WU +4 位作者 Huai-min WANG Xue-qi CHENG Hua-jun CHEN Zhi-hua ZHOU Rong DING 《Frontiers of Information Technology & Electronic Engineering》 SCIE EI CSCD 2017年第1期15-43,共29页
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... 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. 展开更多
关键词 Crowd intelligence Artificial intelligence 2.0 Crowdsourcing Human computation
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Crowdsourcing intelligent design 被引量:2
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作者 Wei XIANG Ling-yun SUN +1 位作者 Wei-tao YOU Chang-yuan YANG 《Frontiers of Information Technology & Electronic Engineering》 SCIE EI CSCD 2018年第1期126-138,共13页
Design intelligence,namely,artificial intelligence to solve creative problems and produce creative ideas,has improved rapidly with the new generation artificial intelligence.However,existing methods are more skillful ... Design intelligence,namely,artificial intelligence to solve creative problems and produce creative ideas,has improved rapidly with the new generation artificial intelligence.However,existing methods are more skillful in learning from data and have limitations in creating original ideas different from the training data.Crowdsourcing offers a promising method to produce creative designs by combining human inspiration and machines' computational ability.We propose a crowdsourcing intelligent design method called ‘flexible crowdsourcing design'.Design ideas produced through crowdsourcing design can be unreliable and inconsistent because they rely solely on selection among participants' submissions of ideas.In contrast,the flexible crowdsourcing design method employs a cultivation procedure that integrates the ideas from crowd participants and cultivates these ideas to improve design quality at the same time.We introduce a series of studies to show how flexible crowdsourcing design can produce original design ideas consistently.Specifically,we will describe the typical procedure of flexible crowdsourcing design,the refined crowdsourcing tasks,the factors that affect the idea development process,the method for calculating idea development potential,and two applications of the flexible crowdsourcing design method.Finally,it summarizes the design capabilities enabled by crowdsourcing intelligent design.This method enhances the performance of crowdsourcing design and supports the development of design intelligence. 展开更多
关键词 Crowdsourcing Flexible crowdsourcing design Design intelligence
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