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Automatic imitation of multiple agents: A computational model.

Emiel Cracco1, Richard P Cooper2

  • 1Department of Experimental Psychology, Ghent University, Belgium.

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This study extends the dual-route model of automatic imitation to include multiple agents, demonstrating its ability to explain multi-agent effects and social interaction beyond pairs.

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Area of Science:

  • Cognitive Neuroscience
  • Social Psychology
  • Computational Modeling

Background:

  • Observing others' actions activates the motor system, leading to automatic imitation.
  • Early research focused on single-agent imitation, but recent work highlights simultaneous representation of multiple agents' actions.
  • Theoretical models have not fully kept pace with multi-agent imitation research.

Purpose of the Study:

  • To extend the dual-route model of automatic imitation to accommodate multiple agents.
  • To test the extended model's ability to explain critical multi-agent imitation effects using simulations.
  • To investigate the role of response inhibition and conflict in multi-agent imitation.

Main Methods:

  • Developed an extended dual-route model incorporating multi-agent representations.
  • Conducted five simulation studies to evaluate the model against empirical multi-agent effects.
  • Performed additional simulations to explore the function of a response inhibition mechanism driven by conflict.

Main Results:

  • The extended dual-route model successfully captured four critical multi-agent effects.
  • A control mechanism for response inhibition, sensitive to the number of observed actions, was necessary for model accuracy.
  • Response conflict was identified as a potential driver for this response inhibition mechanism.

Conclusions:

  • The extended dual-route model provides a framework for understanding automatic imitation in multi-agent contexts.
  • The findings highlight the importance of response inhibition and conflict monitoring in navigating social interactions.
  • This work advances mechanistic theories of social interaction, moving beyond dyadic relationships.