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Open Access

Social Scale and Collective Computation: Does Information Processing Limit Rate of Growth in Scale?

Department of Anthropology, Washington State University, Pullman, WA 99164–4910, USA; Santa Fe Institute, Santa Fe, NM 87501, USA; Crow Canyon Archaeological Center, Cortez, CO 81321, USA; and Cluster of Excellence ROOTS, Christian-Albrechts-Universität, Kiel 24118, Germany
Department of Anthropology, Washington State University, Pullman, WA 99164–4910, USA; and also with Max Planck Institute for the Science of Human History, Jena 07745, Germany
Santa Fe Institute, Santa Fe, NM 87501, USA; Center for Biosocial Complex Systems, Arizona State University, Tempe, AZ 85281, USA; and Complexity Science Hub, Vienna 1080, Austria
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Abstract

Collective computation is the process by which groups store and share information to arrive at decisions for collective behavior. How societies engage in effective collective computation depends partly on their scale. Social arrangements and technologies that work for small- and mid-scale societies are inadequate for dealing effectively with the much larger communication loads that societies face during the growth in scale that is a hallmark of the Holocene. An important bottleneck for growth may be the development of systems for persistent recording of information (writing), and perhaps also the abstraction of money for generalizing exchange mechanisms. Building on Shin et al., we identify a Scale Threshold to be crossed before societies can develop such systems, and an Information Threshold which, once crossed, allows more or less unlimited growth in scale. We introduce several additional articles in this special issue that elaborate or evaluate this Thresholds Model for particular types of societies or times and places in the world.

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Journal of Social Computing
Pages 1-17

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Cite this article:
Kohler TA, Bird D, Wolpert DH. Social Scale and Collective Computation: Does Information Processing Limit Rate of Growth in Scale?. Journal of Social Computing, 2022, 3(1): 1-17. https://doi.org/10.23919/JSC.2021.0020

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Received: 05 August 2021
Revised: 17 November 2021
Accepted: 21 November 2021
Published: 14 February 2022
© The author(s) 2021

The articles published in this open access journal are distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/).