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  Social scale and collective computation: Does information processing limit rate of growth in scale?

Kohler, T. A., Bird, D., & Wolpert, D. H. (2022). Social scale and collective computation: Does information processing limit rate of growth in scale? Journal of Social Computing, 3(1): 2021.0020, pp. 1-17. doi:10.23919/JSC.2021.0020.

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 Urheber:
Kohler, Timothy A., Autor
Bird, Darcy1, Autor           
Wolpert, David H., Autor
Affiliations:
1Archaeology, Max Planck Institute for the Science of Human History, Max Planck Society, ou_2074312              

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Schlagwörter: social evolution; thresholds model; information processing; writing; demographic scale; collective computation
 Zusammenfassung: 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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Sprache(n): eng - English
 Datum: 2022-02-10
 Publikationsstatus: Online veröffentlicht
 Seiten: 17
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: 1 Introduction
2 Seshat: The Global History Databank
2.1 Quantitative historical analysis uncovers a single dimension of complexity that structures global variation in human social organization
2.2 Scale and information-processing thresholds in Holocene social evolution
2.3 Evolution of collective computational abilities of (pre)historic societies
3 Empirical Fluctuation, or Stochastic Law?
4 Opening the Discussion on Collective Computation: Historical Survey and Introduction to the Case Studies
4.1 Marcus Hamilton: Collective computation and the emergence of hunter-gatherer small-worlds
4.2 Laura Ellyson: Applying Gregory Johnson’s concepts of scalar stress to scale and Information Thresholds in Holocene social evolution
4.3 Johannes Müller et al.: Tripolye mega-sites: “Collective computational abilities” of prehistoric proto-urban societies?
4.4 Steven Wernke: Explosive expansion, sociotechnical diversity, and fragile sovereignty in the domain of the Inka
4.5 Gary Feinman and David Carballo: Communication, computation, and governance: A multiscalar vantage on the prehispanic Mesoamerican World
4.6 Ian Morris: Scale, information-processing, and complementarities in Old-World Axial-Age societies
5 Conclusion
6 Postscript: the Second Social Media Revolution
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: DOI: 10.23919/JSC.2021.0020
Anderer: shh3145
 Art des Abschluß: -

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Titel: Journal of Social Computing
Genre der Quelle: Zeitschrift
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Ort, Verlag, Ausgabe: Peking : Tsinghua University Press
Seiten: - Band / Heft: 3 (1) Artikelnummer: 2021.0020 Start- / Endseite: 1 - 17 Identifikator: ISSN: 2688-5255
CoNE: https://pure.mpg.de/cone/journals/resource/2688-5255