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Collective Intelligence: from the Enlightenment to the Crowd Science

Authors:

Yi LiuAuthors Info & Claims

ICCSE'17: Proceedings of the 2nd International Conference on Crowd Science and Engineering

Pages 111 - 115

https://doi.org/10.1145/3126973.3126993

Published: 06 July 2017 Publication History

Abstract

From1 the 18th century Enlightenment to the New Millennium, the wisdom of crowd, later named the collective intelligence, has attracted many scientists to study its principle and application. This article shows the picture of collective intelligence study process in time order. After summarizing the history of researches related and different scientists' contribution to this research field, the authors will show the recent research focusing on collective intelligence optimization and modern applications of collective intelligence. Last but not least, its future potential will also be discussed.

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Cited By

Traniello JAvarguès-Weber A(2023)Individual and collective cognition in social insects: what’s in a name?Behavioral Ecology and Sociobiology10.1007/s00265-023-03392-w77:11Online publication date: 26-Oct-2023
https://doi.org/10.1007/s00265-023-03392-w
Liu JJi W(2021)Crowd intelligence evolution based on complex networkInternational Journal of Crowd Science10.1108/IJCS-03-2021-00085:3(281-292)Online publication date: 7-Oct-2021
https://doi.org/10.1108/IJCS-03-2021-0008
Yamakami T(2018)A Visualization Framework to Empower Small and Medium-Sized Enterprises in Open Innovation2018 15th International Conference on Service Systems and Service Management (ICSSSM)10.1109/ICSSSM.2018.8464987(1-5)Online publication date: Jul-2018
https://doi.org/10.1109/ICSSSM.2018.8464987

Index Terms

Collective Intelligence: from the Enlightenment to the Crowd Science
1. Human-centered computing
  1. Collaborative and social computing
    1. Collaborative and social computing theory, concepts and paradigms
      1. Computer supported cooperative work
      2. Social engineering (social sciences)
2. Networks
  1. Network performance evaluation
    1. Network performance analysis

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cover image ACM Other conferences

ICCSE'17: Proceedings of the 2nd International Conference on Crowd Science and Engineering

July 2017

158 pages

ISBN:9781450353755

DOI:10.1145/3126973

Copyright © 2017 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 06 July 2017

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ICCSE'17

ICCSE'17: 2nd International Conference on Crowd Science and Engineering

July 6 - 9, 2017

Beijing, China

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ICCSE'17 Paper Acceptance Rate 24 of 66 submissions, 36%;

Overall Acceptance Rate 92 of 247 submissions, 37%

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Cited By

Traniello JAvarguès-Weber A(2023)Individual and collective cognition in social insects: what’s in a name?Behavioral Ecology and Sociobiology10.1007/s00265-023-03392-w77:11Online publication date: 26-Oct-2023
https://doi.org/10.1007/s00265-023-03392-w
Liu JJi W(2021)Crowd intelligence evolution based on complex networkInternational Journal of Crowd Science10.1108/IJCS-03-2021-00085:3(281-292)Online publication date: 7-Oct-2021
https://doi.org/10.1108/IJCS-03-2021-0008
Yamakami T(2018)A Visualization Framework to Empower Small and Medium-Sized Enterprises in Open Innovation2018 15th International Conference on Service Systems and Service Management (ICSSSM)10.1109/ICSSSM.2018.8464987(1-5)Online publication date: Jul-2018
https://doi.org/10.1109/ICSSSM.2018.8464987

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