计算机工程 ›› 2019, Vol. 45 ›› Issue (12): 1-7.doi: 10.19678/j.issn.1000-3428.0056410

• 热点与综述 • 上一篇    下一篇

群体智能2.0研究综述

赵健, 张鑫褆, 李佳明, 贺晨   

  1. 西北大学 信息科学与技术学院, 西安 710127
  • 收稿日期:2019-09-05 修回日期:2019-10-05 出版日期:2019-12-15 发布日期:2019-12-31
  • 作者简介:赵健(1973-),男,教授、博士后、科技创新2030"新一代人工智能"重大项目群体智能方向会评专家,主研方向为人工智能及其应用;张鑫褆、李佳明,硕士研究生;贺晨,教授、博士。
  • 基金项目:
    国家自然科学基金(61701401);陕西省自然科学基金(2019KJXX-061)。

Research Review of Crowd Intelligence 2.0

ZHAO Jian, ZHANG Xinti, LI Jiaming, HE Chen   

  1. School of Information Science and Technology, Northwest University, Xi'an 710127, China
  • Received:2019-09-05 Revised:2019-10-05 Online:2019-12-15 Published:2019-12-31

摘要: 在物联网、移动互联网的快速发展和大数据的深层驱动下,群体智能进入2.0时代。通过介绍群体智能2.0的定义,分析国内科研团队在群智感知计算、联邦学习及众包等方面的研究成果,明确群体智能2.0的发展趋势,并指出群智感知计算与众包技术将成为群体智能2.0的主要研究方向,数据获取、数据处理及用户隐私保护为需要解决的关键技术难点。

关键词: 群体智能, 众包, 移动众包, 群智感知计算, 联邦学习

Abstract: With the rapid development of Internet of Things(IoT) as well as mobile Internet and the deep drive of big data,crowd intelligence has entered the 2.0 era.This paper introduces the definition ofcrowd intelligence 2.0,and analyzes the research results of Chinese research teams on crowd intelligence sensing and computing,federated learning and crowdsourcing.On this basis,this paper clearly indicates the development trend of crowd intelligence 2.0,where crowdsourcing technologies and crowd intelligence sensing and computing will become the focus of research,while data acquisition,data processing and user privacy protection will become the key technological challenges to be solved.

Key words: crowd intelligence, crowdsourcing, mobile crowdsourcing, crowd intelligence sensing and computing, federated learning

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