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The computational power of a human society: a new model of social evolution

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  • Wolpert, David
  • Harper, Kyle

Abstract

Social evolutionary theory seeks to explain increases in the scale and complexity of human societies, from origins to present. Over the course of the twentieth century, social evolutionary theory largely fell out of favor as a way of investigating human history, just as advances in complex systems science and computer science saw the emergence of powerful new conceptions of complex systems, and in particular new methods of measuring complexity. We propose that these advances in our understanding of complex systems and computer science should be brought to bear on our investigations into human history. To that end, we present a new framework for modeling how human societies co-evolve with their biotic environments, recognizing that both a society and its environment are computers. This leads us to model the dynamics of each of those two systems using the same, new kind of computational machine, which we define here. For simplicity, we construe a society as a set of interacting occupations and technologies. Similarly, under such a model, a biotic environment is a set of interacting distinct ecological and climatic processes. This provides novel ways to characterize social complexity, which we hope will cast new light on the archaeological and historical records. Our framework also provides a natural way to formalize both the energetic (thermodynamic) costs required by a society as it runs, and the ways it can extract thermodynamic resources from the environment in order to pay for those costs — and perhaps to grow with any left-over resources.

Suggested Citation

  • Wolpert, David & Harper, Kyle, 2024. "The computational power of a human society: a new model of social evolution," SocArXiv qj83z, Center for Open Science.
  • Handle: RePEc:osf:socarx:qj83z
    DOI: 10.31219/osf.io/qj83z
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    1. Gary S. Becker & Kevin M. Murphy, 1994. "The Division of Labor, Coordination Costs, and Knowledge," NBER Chapters, in: Human Capital: A Theoretical and Empirical Analysis with Special Reference to Education, Third Edition, pages 299-322, National Bureau of Economic Research, Inc.
    2. Charles I. Jones, 2002. "Sources of U.S. Economic Growth in a World of Ideas," American Economic Review, American Economic Association, vol. 92(1), pages 220-239, March.
    3. Oded Galor, 2011. "Unified Growth Theory and Comparative Development," Rivista di Politica Economica, SIPI Spa, issue 2, pages 9-21, April-Jun.
    4. Brian J. Enquist & James H. Brown & Geoffrey B. West, 1998. "Allometric scaling of plant energetics and population density," Nature, Nature, vol. 395(6698), pages 163-165, September.
    5. Brian J. Enquist & James H. Brown & Geoffrey B. West, 1998. "Allometric Scaling of Plant Energetics and Population Density," Working Papers 98-11-104, Santa Fe Institute.
    6. Geoffrey B. West & James H. Brown & Brian J. Enquist, 1997. "A General Model for the Origin of Allometric Scaling Laws in Biology," Working Papers 97-03-019, Santa Fe Institute.
    7. Romer, Paul M, 1990. "Endogenous Technological Change," Journal of Political Economy, University of Chicago Press, vol. 98(5), pages 71-102, October.
    8. Oded Galor, 2011. "Unified Growth Theory," Economics Books, Princeton University Press, edition 1, number 9477.
    9. 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.
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