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Shibboleth: An agent-based model of signalling mimicry.

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  • 1Leverhulme Centre for Human Evolutionary Studies, University of Cambridge, Cambridge, United Kingdom.

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|July 31, 2023
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Summary

Sensitivity to mimicry detection, not mimic cost, predicts group identity signal fixation. This highlights the importance of detecting imposters for maintaining group cohesion and linguistic diversity.

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Area of Science:

  • Evolutionary Biology
  • Social Dynamics
  • Computational Modeling

Background:

  • Mimicry is a key strategy in competitive co-evolutionary dynamics.
  • Detecting mimicked group-identity signals is crucial for preventing harm and may drive linguistic diversity.

Purpose of the Study:

  • To investigate the role of mimicry detection sensitivity versus mimicry cost in the fixation of group identity signals.
  • To model intergroup interactions using agent-based simulations inspired by the Shibboleth story.

Main Methods:

  • Five agent-based models simulating multi-generational interactions between in-group and out-group individuals.
  • Models varied parameters including mimicry quality, detection quality, and cost of detection.
  • Incorporation of group-level behaviors like altruistic punishment in later model variations.

Main Results:

  • Group members' sensitivity to mimicry (detection quality) was a stronger predictor of signal fixation than the cost of mimicry detection.
  • The likelihood of being detected as a mimic is more critical than the costs incurred by detected mimics.
  • This suggests a greater emphasis on detection likelihood in theoretical models of biological signaling.

Conclusions:

  • Sensitivity to mimicry is more influential than mimicry cost in establishing group identity signals.
  • The ability to imitate and evade detection is fundamental for gaining group membership through linguistic cues.
  • Findings have implications for understanding linguistic evolution and social cohesion.