【摘要】：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.
[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.
【作者單位】： State
【基金】：supported by the National Natural Science Foundation of China(No.61532004)
【分類號(hào)】：TP18

【相似文獻(xiàn)】

相關(guān)期刊論文 前10條

1 ;Research of recognizing intelligence based on commanding decision-making[J];Journal of Systems Engineering and Electronics;2006年04期

2 ;A survey on intelligence approaches that may be useful for information and communication technology research[J];The Journal of China Universities of Posts and Telecommunications;2008年01期

3 趙小康;;公開源情報(bào)——在情報(bào)學(xué)和情報(bào)工作中引入Intelligence的思考[J];情報(bào)理論與實(shí)踐;2009年12期

4 崔巍;;淺談回歸Intelligence情報(bào)觀[J];中國科技信息;2011年22期

5 ;Computational intelligence:From mathematical point of view[J];Chinese Science Bulletin;1999年10期

6 蔡自興;;Some issues for discipline of intelligence science[J];Journal of Central South University of Technology(English Edition);2006年05期

7 ;Research of intelligence data mining based on commanding decision-making[J];Journal of Systems Engineering and Electronics;2007年02期

8 ;Research of CRM Based on Customer Intelligence Engine[J];Journal of Electronic Science and Technology of China;2004年03期

9 范曉慧;陳許玲;姜濤;李桃;;Real-time operation guide system for sintering process with artificial intelligence[J];Journal of Central South University of Technology(English Edition);2005年05期

10 Sankar K Pal;;Machine intelligence,rough sets and rough-fuzzy granular computing:uncertainty handling in bio-informatics and Web intelligence[J];重慶郵電大學(xué)學(xué)報(bào)(自然科學(xué)版);2010年06期

相關(guān)會(huì)議論文 前4條

1 賀明峰;潘秋惠;于柄林;;An evolutionary model based on bit-string with intelligence[A];大連理工大學(xué)生物醫(yī)學(xué)工程學(xué)術(shù)論文集（第2卷）[C];2005年

2 ;Intelligent Machines and Machine Intelligence: Where the Intelligence Comes From[A];2001年中國智能自動(dòng)化會(huì)議論文集（上冊(cè)）[C];2001年

3 李佩綺;;Multiple Intelligence and its Implication in Adult Education[A];語言與文化研究（第三輯）[C];2008年

4 Liu Yan;Zhang Mingyuan;Yuan Yongbo;;Application of Artificial Intelligence and Visualization Technology in Construction Risk Prediction[A];proceedings of 2010 3rd International Conference on Computer and Electrical Engineering (ICCEE 2010 no.1)[C];2012年

相關(guān)重要報(bào)紙文章 前1條

1 ;Wireless Intelligence：高牌照費(fèi)或影響印度3G普及[N];人民郵電;2010年

，

本文編號(hào)：2261851