IDEAS home Printed from https://ideas.repec.org/a/eee/thpobi/v80y2011i2p132-140.html
   My bibliography  Save this article

Coexistence of individual and social learners during range expansion

Author

Listed:
  • Wakano, Joe Y.
  • Kawasaki, Kohkichi
  • Shigesada, Nanako
  • Aoki, Kenichi

Abstract

Individual learning and social learning are two primary abilities supporting cultural evolution. Conditions for their evolution have mostly been studied by investigating gene frequency dynamics, which essentially implies constant population size. Predictions from such “static†models may only be of partial relevance to the evolution of advanced individual learning in modern humans, because modern humans have experienced rapid population growth and range expansion during “out-of-Africa.†Here we model the spatial population dynamics of individual and social learners by a reaction–diffusion system. One feature of our model is the inclusion of the possibility that social learners may fail to find an exemplar to copy in regions where the population density is low. Due to this attenuation effect, the invasion speed of social learners is diminished, and various kinds of invasion dynamics are observed. Our primary findings are: (1) individual learners can persist indefinitely when invading environmentally homogeneous infinite space; (2) the occurrence of individual learners at the front may inhibit the spread of social learners. These results suggest that “out-of-Africa†may have driven the evolution of advanced individual learning ability in modern humans.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:thpobi:v:80:y:2011:i:2:p:132-140
    DOI: 10.1016/j.tpb.2011.06.001
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0040580911000475
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.tpb.2011.06.001?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.

    References listed on IDEAS

    as
    1. 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.
    2. Christoph Hauert & Michael Doebeli, 2004. "Spatial structure often inhibits the evolution of cooperation in the snowdrift game," Nature, Nature, vol. 428(6983), pages 643-646, April.
    3. Hallatschek, Oskar & Nelson, David R., 2008. "Gene surfing in expanding populations," Theoretical Population Biology, Elsevier, vol. 73(1), pages 158-170.
    4. Hauert, Christoph & Wakano, Joe Yuichiro & Doebeli, Michael, 2008. "Ecological public goods games: Cooperation and bifurcation," Theoretical Population Biology, Elsevier, vol. 73(2), pages 257-263.
    5. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Fogarty, L. & Creanza, N. & Feldman, M.W., 2013. "The role of cultural transmission in human demographic change: An age-structured model," Theoretical Population Biology, Elsevier, vol. 88(C), pages 68-77.
    2. 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.
    3. Aoki, Kenichi, 2015. "Modeling abrupt cultural regime shifts during the Palaeolithic and Stone Age," Theoretical Population Biology, Elsevier, vol. 100(C), pages 6-12.
    4. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Nakahashi, Wataru, 2013. "Evolution of improvement and cumulative culture," Theoretical Population Biology, Elsevier, vol. 83(C), pages 30-38.
    2. 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.
    3. 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.
    4. 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.
    5. Aoki, Kenichi, 2015. "Modeling abrupt cultural regime shifts during the Palaeolithic and Stone Age," Theoretical Population Biology, Elsevier, vol. 100(C), pages 6-12.
    6. Nakahashi, Wataru, 2010. "Evolution of learning capacities and learning levels," Theoretical Population Biology, Elsevier, vol. 78(3), pages 211-224.
    7. Sergio Currarini & Carmen Marchiori & Alessandro Tavoni, 2016. "Network Economics and the Environment: Insights and Perspectives," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 65(1), pages 159-189, September.
    8. Takahara, Akihiro & Sakiyama, Tomoko, 2023. "Twisted strategy may enhance the evolution of cooperation in spatial prisoner’s dilemma," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 629(C).
    9. Te Wu & Feng Fu & Long Wang, 2011. "Moving Away from Nasty Encounters Enhances Cooperation in Ecological Prisoner's Dilemma Game," PLOS ONE, Public Library of Science, vol. 6(11), pages 1-7, November.
    10. Jorge Peña & Yannick Rochat, 2012. "Bipartite Graphs as Models of Population Structures in Evolutionary Multiplayer Games," PLOS ONE, Public Library of Science, vol. 7(9), pages 1-13, September.
    11. Guzmán, Ricardo Andrés & Rodríguez-Sickert, Carlos & Rowthorn, Robert, 2006. "When in Rome, do as the Romans do: the coevolution of altruistic punishment, conformist learning, and cooperation," MPRA Paper 2037, University Library of Munich, Germany.
    12. Sahoo, Debgopal & Samanta, Guruprasad, 2023. "Modeling cooperative evolution in prey species using the snowdrift game with evolutionary impact on prey–predator dynamics," Chaos, Solitons & Fractals, Elsevier, vol. 177(C).
    13. Yunsheng Deng & Jihui Zhang, 2022. "The choice-decision based on memory and payoff favors cooperation in stag hunt game on interdependent networks," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 95(2), pages 1-13, February.
    14. Liang, Rizhou & Zhang, Jiqiang & Zheng, Guozhong & Chen, Li, 2021. "Social hierarchy promotes the cooperation prevalence," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 567(C).
    15. Ping Zhu & Guiyi Wei, 2014. "Stochastic Heterogeneous Interaction Promotes Cooperation in Spatial Prisoner's Dilemma Game," PLOS ONE, Public Library of Science, vol. 9(4), pages 1-10, April.
    16. Foutel-Rodier, Félix & Etheridge, Alison M., 2020. "The spatial Muller’s ratchet: Surfing of deleterious mutations during range expansion," Theoretical Population Biology, Elsevier, vol. 135(C), pages 19-31.
    17. Qinghu Liao & Wenwen Dong & Boxin Zhao, 2023. "A New Strategy to Solve “the Tragedy of the Commons” in Sustainable Grassland Ecological Compensation: Experience from Inner Mongolia, China," Sustainability, MDPI, vol. 15(12), pages 1-24, June.
    18. Lv, Shaojie & Wang, Xianjia, 2020. "The impact of heterogeneous investments on the evolution of cooperation in public goods game with exclusion," Applied Mathematics and Computation, Elsevier, vol. 372(C).
    19. Felix Funk & Christoph Hauert, 2019. "Directed migration shapes cooperation in spatial ecological public goods games," PLOS Computational Biology, Public Library of Science, vol. 15(8), pages 1-14, August.
    20. Michael Foley & Rory Smead & Patrick Forber & Christoph Riedl, 2021. "Avoiding the bullies: The resilience of cooperation among unequals," PLOS Computational Biology, Public Library of Science, vol. 17(4), pages 1-18, April.

    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:80:y:2011:i:2:p:132-140. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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.