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Evolution of social versus individual learning in a subdivided population revisited: Comparative analysis of three coexistence mechanisms using the inclusive-fitness method

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  • Kobayashi, Yutaka
  • Ohtsuki, Hisashi

Abstract

Learning abilities are categorized into social (learning from others) and individual learning (learning on one’s own). Despite the typically higher cost of individual learning, there are mechanisms that allow stable coexistence of both learning modes in a single population. In this paper, we investigate by means of mathematical modeling how the effect of spatial structure on evolutionary outcomes of pure social and individual learning strategies depends on the mechanisms for coexistence. We model a spatially structured population based on the infinite-island framework and consider three scenarios that differ in coexistence mechanisms. Using the inclusive-fitness method, we derive the equilibrium frequency of social learners and the genetic load of social learning (defined as average fecundity reduction caused by the presence of social learning) in terms of some summary statistics, such as relatedness, for each of the three scenarios and compare the results. This comparative analysis not only reconciles previous models that made contradictory predictions as to the effect of spatial structure on the equilibrium frequency of social learners but also derives a simple mathematical rule that determines the sign of the genetic load (i.e. whether or not social learning contributes to the mean fecundity of the population).

Suggested Citation

  • Kobayashi, Yutaka & Ohtsuki, Hisashi, 2014. "Evolution of social versus individual learning in a subdivided population revisited: Comparative analysis of three coexistence mechanisms using the inclusive-fitness method," Theoretical Population Biology, Elsevier, vol. 92(C), pages 78-87.
  • Handle: RePEc:eee:thpobi:v:92:y:2014:i:c:p:78-87
    DOI: 10.1016/j.tpb.2013.12.003
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    References listed on IDEAS

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    1. 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.
    2. Godfrey Hewitt, 2000. "The genetic legacy of the Quaternary ice ages," Nature, Nature, vol. 405(6789), pages 907-913, June.
    3. Marcus W. Feldman & Kenichi Aoki & Jochen Kumm, 1996. "Individual Versus Social Learning: Evolutionary Analysis in a Fluctuating Environment," Working Papers 96-05-030, Santa Fe Institute.
    4. L. S. Premo, 2012. "Local Extinctions, Connectedness, And Cultural Evolution In Structured Populations," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 15(01n02), pages 1-18.
    5. Kobayashi, Yutaka & Aoki, Kenichi, 2012. "Innovativeness, population size and cumulative cultural evolution," Theoretical Population Biology, Elsevier, vol. 82(1), pages 38-47.
    6. Wakano, Joe Y. & Kawasaki, Kohkichi & Shigesada, Nanako & Aoki, Kenichi, 2011. "Coexistence of individual and social learners during range expansion," Theoretical Population Biology, Elsevier, vol. 80(2), pages 132-140.
    7. Laurel Fogarty & Luke Rendell & Kevin N. Laland, 2012. "The Importance Of Space In Models Of Social Learning, Cultural Evolution And Niche Construction," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 15(01n02), pages 1-17.
    8. Aoki, Kenichi & Nakahashi, Wataru, 2008. "Evolution of learning in subdivided populations that occupy environmentally heterogeneous sites," Theoretical Population Biology, Elsevier, vol. 74(4), pages 356-368.
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    1. Ohtsuki, Hisashi & Wakano, Joe Yuichiro & Kobayashi, Yutaka, 2017. "Inclusive fitness analysis of cumulative cultural evolution in an island-structured population," Theoretical Population Biology, Elsevier, vol. 115(C), pages 13-23.

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