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Updated: Sep 24, 2025

WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control
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Conflict and competition between model-based and model-free control.

Yuqing Lei1, Alec Solway1,2

  • 1Department of Psychology, University of Maryland-College Park, College Park, Maryland, United States of America.

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Summary
This summary is machine-generated.

Human decision-making involves two systems, model-free and model-based, which interact non-linearly during conflict. Greater value conflict increases caution and reduces model-based control, impacting choices.

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Area of Science:

  • Cognitive Neuroscience
  • Computational Psychiatry
  • Reinforcement Learning

Background:

  • Human and animal decision-making is often modeled by two systems: model-free (associative learning) and model-based (planning).
  • The interaction between these systems, especially during conflict, remains unclear, with prior models assuming linear combination.

Purpose of the Study:

  • To investigate the non-linear interaction between model-free and model-based decision systems during cognitive conflict.
  • To differentiate the effects of action conflict and value conflict on decision-making processes.

Main Methods:

  • Developed an integrated reinforcement learning/drift-diffusion model to simulate system interactions.
  • Differentiated action conflict (binary disagreement on action) and value conflict (continuous disagreement on value).

Main Results:

  • Increased value conflict led to reduced model-based control and enhanced decision caution.
  • Action conflict showed opposing effects, though less pronounced than value conflict.
  • Between-system conflict strongly correlated with within-system conflict.

Conclusions:

  • Decision-making conflict exhibits non-linear dynamics, challenging linear combination assumptions.
  • Findings provide constraints for process models of decision-making and suggest implications for disorders of compulsivity.