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The evolution of social dominance through reinforcement learning

View ORCID ProfileOlof Leimar
doi: https://doi.org/10.1101/2020.07.23.218040
Olof Leimar
Department of Zoology, Stockholm University, SE-106 91 Stockholm, Sweden
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  • For correspondence: olof.leimar@zoologi.su.se
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Abstract

Groups of social animals are often organised into dominance hierarchies that are formed through pairwise interactions. There is much experimental data on hierarchies, examining such things as winner, loser, and bystander effects, as well as the linearity and replicability of hierarchies, but there is a lack evolutionary analyses of these basic observations. Here I present a game-theory model of hierarchy formation in which individuals adjust their aggressive behaviour towards other group members through reinforcement learning. Individual traits such as the tendency to generalise learning between interactions with different individuals, the rate of learning, and the initial tendency to be aggressive are genetically determined and can be tuned by evolution. I find that evolution favours individuals with high social competence, making use of individual recognition, bystander learning and, to a limited extent, generalising learned behaviour between opponents when adjusting their behaviour towards other group members. The results are in good agreement with experimental data, for instance in finding weaker winner effects compared to loser effects.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • E-mail: olof.leimar{at}zoologi.su.se.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC 4.0 International license.
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Posted July 23, 2020.
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The evolution of social dominance through reinforcement learning
Olof Leimar
bioRxiv 2020.07.23.218040; doi: https://doi.org/10.1101/2020.07.23.218040
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The evolution of social dominance through reinforcement learning
Olof Leimar
bioRxiv 2020.07.23.218040; doi: https://doi.org/10.1101/2020.07.23.218040

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  • Animal Behavior and Cognition
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