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Imperfect Strategy Transmission Can Reverse the Role of Population Viscosity on the Evolution of Altruism

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  • F. Débarre

    (Sorbonne Université, CNRS, Université Paris Est Créteil, INRA, IRD, Institute of Ecology and Environmental - Paris, IEES-Paris, UMR 7618)

Abstract

Population viscosity, i.e., low emigration out of the natal deme, leads to high within-deme relatedness, which is beneficial to the evolution of altruistic behavior when social interactions take place among deme-mates. However, a detrimental side effect of low emigration is the increase in competition among related individuals. The evolution of altruism depends on the balance between these opposite effects. This balance is already known to be affected by details of the life cycle; we show here that it further depends on the fidelity of strategy transmission from parents to their offspring. We consider different life cycles and identify thresholds of parent–offspring strategy transmission inaccuracy, above which higher emigration can increase the frequency of altruists maintained in the population. Predictions were first obtained analytically assuming weak selection and equal deme sizes and then confirmed with stochastic simulations relaxing these assumptions. Contrary to what happens with perfect strategy transmission from parent to offspring, our results show that higher emigration can be favorable to the evolution of altruism.

Suggested Citation

  • F. Débarre, 2020. "Imperfect Strategy Transmission Can Reverse the Role of Population Viscosity on the Evolution of Altruism," Dynamic Games and Applications, Springer, vol. 10(3), pages 732-763, September.
  • Handle: RePEc:spr:dyngam:v:10:y:2020:i:3:d:10.1007_s13235-019-00326-y
    DOI: 10.1007/s13235-019-00326-y
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    References listed on IDEAS

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    1. Parvinen, Kalle, 2013. "Joint evolution of altruistic cooperation and dispersal in a metapopulation of small local populations," Theoretical Population Biology, Elsevier, vol. 85(C), pages 12-19.
    2. Kandori, Michihiro & Mailath, George J & Rob, Rafael, 1993. "Learning, Mutation, and Long Run Equilibria in Games," Econometrica, Econometric Society, vol. 61(1), pages 29-56, January.
    3. Hisashi Ohtsuki & Christoph Hauert & Erez Lieberman & Martin A. Nowak, 2006. "A simple rule for the evolution of cooperation on graphs and social networks," Nature, Nature, vol. 441(7092), pages 502-505, May.
    4. Benjamin Allen & Gabor Lippner & Yu-Ting Chen & Babak Fotouhi & Naghmeh Momeni & Shing-Tung Yau & Martin A. Nowak, 2017. "Evolutionary dynamics on any population structure," Nature, Nature, vol. 544(7649), pages 227-230, April.
    5. Katrin Hammerschmidt & Caroline J. Rose & Benjamin Kerr & Paul B. Rainey, 2014. "Life cycles, fitness decoupling and the evolution of multicellularity," Nature, Nature, vol. 515(7525), pages 75-79, November.
    6. F. Débarre & C. Hauert & M. Doebeli, 2014. "Social evolution in structured populations," Nature Communications, Nature, vol. 5(1), pages 1-7, May.
    7. Van Cleve, Jeremy, 2015. "Social evolution and genetic interactions in the short and long term," Theoretical Population Biology, Elsevier, vol. 103(C), pages 2-26.
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