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Cultural diffusion dynamics depend on behavioural production rules.

Michael Chimento1,2,3, Brendan J Barrett4,2,3,5, Anne Kandler5

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This study introduces a new model integrating behavior acquisition and production to understand cultural diffusion. It reveals how individual production rules significantly impact population-level spread and the analysis of social learning.

Keywords:
agent-based modelcultural evolutionexperience weighted attraction modelsnetwork-based diffusion analysisreinforcement learning‌social learning

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Area of Science:

  • Evolutionary Anthropology
  • Computational Social Science
  • Behavioral Economics

Background:

  • Culture arises from social transmission (acquisition) and individual creation (production) of behaviors.
  • Existing models often treat acquisition and production as interchangeable, neglecting their interaction's impact on cultural diffusion.
  • The interplay between learning new behaviors and modifying existing ones is crucial for understanding cultural dynamics.

Purpose of the Study:

  • To develop a generative model integrating behavioral acquisition and production to explore their interaction in cultural diffusion.
  • To investigate how variations in individual production rules influence the dynamics of behavior spread through social networks.
  • To assess the impact of linking acquisition and production on the performance of common social learning inference models.

Main Methods:

  • Developed a generative model where agents learn from their own productions and adjust behavior repertoires.
  • Simulated the diffusion of a novel behavior through social networks using the integrated model.
  • Analyzed how individual-level production rules affect population-level diffusion patterns.
  • Evaluated the influence of the acquisition-production link on network-based diffusion analysis and experience-weighted attraction models.

Main Results:

  • Individual behavioral production rules significantly influence population-level cultural diffusion dynamics.
  • The frequency of acquired behaviors impacts learning and subsequent production.
  • Linking acquisition and production processes affects the accuracy and application of social learning inference models.
  • Reinforcement learning plays a critical, often overlooked, role in cultural transmission.

Conclusions:

  • The interaction between acquiring and producing behaviors is a key determinant of cultural diffusion patterns.
  • Understanding individual production rules is essential for accurate modeling of social learning and cultural evolution.
  • This integrated approach clarifies distinctions between social learning and social influence, highlighting reinforcement learning's role.