IDEAS home Printed from https://ideas.repec.org/a/eee/thpobi/v79y2011i4p192-202.html
   My bibliography  Save this article

Rates of cultural change and patterns of cultural accumulation in stochastic models of social transmission

Author

Listed:
  • Aoki, Kenichi
  • Lehmann, Laurent
  • Feldman, Marcus W.

Abstract

Cultural variation in a population is affected by the rate of occurrence of cultural innovations, whether such innovations are preferred or eschewed, how they are transmitted between individuals in the population, and the size of the population. An innovation, such as a modification in an attribute of a handaxe, may be lost or may become a property of all handaxes, which we call “fixation of the innovation.†Alternatively, several innovations may attain appreciable frequencies, in which case properties of the frequency distribution—for example, of handaxe measurements—is important. Here we apply the Moran model from the stochastic theory of population genetics to study the evolution of cultural innovations. We obtain the probability that an initially rare innovation becomes fixed, and the expected time this takes. When variation in cultural traits is due to recurrent innovation, copy error, and sampling from generation to generation, we describe properties of this variation, such as the level of heterogeneity expected in the population. For all of these, we determine the effect of the mode of social transmission: conformist, where there is a tendency for each naïve newborn to copy the most popular variant; pro-novelty bias, where the newborn prefers a specific variant if it exists among those it samples; one-to-many transmission, where the variant one individual carries is copied by all newborns while that individual remains alive. We compare our findings with those predicted by prevailing theories for rates of cultural change and the distribution of cultural variation.

Suggested Citation

  • Aoki, Kenichi & Lehmann, Laurent & Feldman, Marcus W., 2011. "Rates of cultural change and patterns of cultural accumulation in stochastic models of social transmission," Theoretical Population Biology, Elsevier, vol. 79(4), pages 192-202.
  • Handle: RePEc:eee:thpobi:v:79:y:2011:i:4:p:192-202
    DOI: 10.1016/j.tpb.2011.02.001
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0040580911000141
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.tpb.2011.02.001?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Takahashi, Takuya & Ihara, Yasuo, 2019. "Cultural and evolutionary dynamics with best-of-k learning when payoffs are uncertain," Theoretical Population Biology, Elsevier, vol. 128(C), pages 27-38.
    2. Kobayashi, Yutaka & Wakano, Joe Yuichiro & Ohtsuki, Hisashi, 2018. "Genealogies and ages of cultural traits: An application of the theory of duality to the research on cultural evolution," Theoretical Population Biology, Elsevier, vol. 123(C), pages 18-27.
    3. Nakamura, Mitsuhiro & Wakano, Joe Yuichiro & Aoki, Kenichi & Kobayashi, Yutaka, 2020. "The popularity spectrum applied to a cross-cultural question," Theoretical Population Biology, Elsevier, vol. 133(C), pages 104-116.
    4. Aoki, Kenichi, 2015. "Modeling abrupt cultural regime shifts during the Palaeolithic and Stone Age," Theoretical Population Biology, Elsevier, vol. 100(C), pages 6-12.
    5. Aoki, Kenichi & Feldman, Marcus W., 2014. "Evolution of learning strategies in temporally and spatially variable environments: A review of theory," Theoretical Population Biology, Elsevier, vol. 91(C), pages 3-19.
    6. Kobayashi, Yutaka & Aoki, Kenichi, 2012. "Innovativeness, population size and cumulative cultural evolution," Theoretical Population Biology, Elsevier, vol. 82(1), pages 38-47.
    7. David K. Levine & Salvatore Modica, 2012. "Conflict and the evolution of societies," Working Papers 2012-032, Federal Reserve Bank of St. Louis.
    8. Takahashi, Takuya & Ihara, Yasuo, 2022. "Application of a Markovian ancestral model to the temporal and spatial dynamics of cultural evolution on a population network," Theoretical Population Biology, Elsevier, vol. 143(C), pages 14-29.
    9. Wakano, Joe Yuichiro & Gilpin, William & Kadowaki, Seiji & Feldman, Marcus W. & Aoki, Kenichi, 2018. "Ecocultural range-expansion scenarios for the replacement or assimilation of Neanderthals by modern humans," Theoretical Population Biology, Elsevier, vol. 119(C), pages 3-14.
    10. Kobayashi, Yutaka & Kurokawa, Shun & Ishii, Takuya & Wakano, Joe Yuichiro, 2021. "Time to extinction of a cultural trait in an overlapping generation model," Theoretical Population Biology, Elsevier, vol. 137(C), pages 32-45.
    11. David K Levine & Salvatore Modica, 2020. "State Power and Conflict Driven Evolution," Levine's Working Paper Archive 11694000000000014, David K. Levine.
    12. Andrew Buskell & Magnus Enquist & Fredrik Jansson, 2019. "A systems approach to cultural evolution," Palgrave Communications, Palgrave Macmillan, vol. 5(1), pages 1-15, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:thpobi:v:79:y:2011:i:4:p:192-202. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/intelligence .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.