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Scale and information-processing thresholds in Holocene social evolution

Author

Listed:
  • Jaeweon Shin

    (Rice University)

  • Michael Holton Price

    (Santa Fe Institute)

  • David H. Wolpert

    (Santa Fe Institute
    Arizona State University)

  • Hajime Shimao

    (Santa Fe Institute)

  • Brendan Tracey

    (Santa Fe Institute)

  • Timothy A. Kohler

    (Santa Fe Institute
    Washington State University
    Crow Canyon Archaeological Center
    Research Institute for Humanity and Nature)

Abstract

Throughout the Holocene, societies developed additional layers of administration and more information-rich instruments for managing and recording transactions and events as they grew in population and territory. Yet, while such increases seem inevitable, they are not. Here we use the Seshat database to investigate the development of hundreds of polities, from multiple continents, over thousands of years. We find that sociopolitical development is dominated first by growth in polity scale, then by improvements in information processing and economic systems, and then by further increases in scale. We thus define a Scale Threshold for societies, beyond which growth in information processing becomes paramount, and an Information Threshold, which once crossed facilitates additional growth in scale. Polities diverge in socio-political features below the Information Threshold, but reconverge beyond it. We suggest an explanation for the evolutionary divergence between Old and New World polities based on phased growth in scale and information processing. We also suggest a mechanism to help explain social collapses with no evident external causes.

Suggested Citation

  • Jaeweon Shin & Michael Holton Price & David H. Wolpert & Hajime Shimao & Brendan Tracey & Timothy A. Kohler, 2020. "Scale and information-processing thresholds in Holocene social evolution," Nature Communications, Nature, vol. 11(1), pages 1-8, December.
  • Handle: RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-16035-9
    DOI: 10.1038/s41467-020-16035-9
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    Cited by:

    1. Wolpert, David & Harper, Kyle, 2024. "The computational power of a human society: a new model of social evolution," SocArXiv qj83z, Center for Open Science.
    2. David H. Wolpert & Kyle Harper, 2024. "The computational power of a human society: a new model of social evolution," Papers 2408.08861, arXiv.org.
    3. Marcus J Hamilton & Robert S Walker & Briggs Buchanan & David S Sandeford, 2020. "Scaling human sociopolitical complexity," PLOS ONE, Public Library of Science, vol. 15(7), pages 1-17, July.

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