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General Collective Intelligence and Web Science

Published: 26 June 2022 Publication History

Abstract

General Collective Intelligence or GCI is an emerging science that creates the possibility of exponentially increasing the general problem-solving ability of groups which various researchers have hypothesized to be measured by the group’s collective intelligence factor (c), which in turn has been equated with the group’s ability to solve any problem in general. This translates into radically increasing capacity for social impact so that ”wicked” social problems might be more reliably solvable where they have not proved to be in the past. This workshop explores both GCI and the patterns through which GCI might be leveraged to achieve this radically increased social impact, as well as how in the absence of GCI, groups suffer from systematic errors in decision-making that limit their collective intelligence. This workshop will explore the hypothetical limits to the collective intelligence that web science or any other collective activity can be conducted with in the absence of General Collective Intelligence, why GCI is required to overcome these limits, and the predicted consequences of not doing so.

References

[1]
Lars Müller. 2017. Solving the wrong problem: when technology is making us blind. In Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers. 1012–1015.
[2]
Andy E Williams. 2021. Defining a continuum from individual, to swarm, to collective intelligence, and to general collective intelligence. International Journal of Collaborative Intelligence 2, 3(2021), 205–209.
[3]
Andy E Williams. 2021. Human-Centric Functional Modeling and the Unification of Systems Thinking Approaches: A Short Communication. Journal of Systems Thinking(2021), 5–5.
[4]
Andy E Williams. 2022. Automating the Process of Generalization. https://doi.org/10.31730/osf.io/fb4us
[5]
Andy E Williams. 2022. Innate Collective Intelligence and the Collective Social Brain Hypothesis. https://doi.org/10.31234/osf.io/upgfw

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    Published In

    cover image ACM Conferences
    WebSci '22: Proceedings of the 14th ACM Web Science Conference 2022
    June 2022
    479 pages
    ISBN:9781450391917
    DOI:10.1145/3501247
    Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 26 June 2022

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    Author Tags

    1. functional state space
    2. general collective intelligence
    3. human-centric functional modeling

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    • Introduction
    • Research
    • Refereed limited

    Conference

    WebSci '22
    Sponsor:
    WebSci '22: 14th ACM Web Science Conference 2022
    June 26 - 29, 2022
    Barcelona, Spain

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    Overall Acceptance Rate 245 of 933 submissions, 26%

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