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Bounded rational response equilibria in human sensorimotor interactions.

Cecilia Lindig-León1, Gerrit Schmid1, Daniel A Braun1

  • 1Institute of Neural Information Processing, Faculty of Engineering, Computer Science and Psychology, Ulm University, Germany.

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Summary
This summary is machine-generated.

This study explores strategic interactions in haptically coupled pairs, finding that human behavior deviates from the Nash equilibrium in sensorimotor games. Bounded rational response equilibria better explain these deviations, incorporating player priors.

Keywords:
Prisoner's Dilemmabounded rationalityquantal response equilibriumreinforcement learningsensorimotor interactions

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Area of Science:

  • Game Theory
  • Human-Computer Interaction
  • Behavioral Economics

Background:

  • Nash equilibrium is a core concept for strategic interactions.
  • Quantal response equilibria explain deviations in economic decision-making.
  • Deviations from Nash equilibria were not previously reported in sensorimotor domains.

Purpose of the Study:

  • Investigate deviations from Nash equilibrium in haptically coupled dyads.
  • Test predictions of quantal response equilibria in sensorimotor games.
  • Develop a more accurate model for bounded rational behavior in sensorimotor interactions.

Main Methods:

  • Experimental investigation of haptically coupled dyads.
  • Utilized three sensorimotor games mirroring Prisoner's Dilemma scenarios.
  • Analyzed deviations from Nash equilibrium predictions.

Main Results:

  • Subjects exhibited predicted deviations from the Nash solution in sensorimotor games.
  • Quantal response equilibrium predictions showed characteristic shifts across games.
  • Incorporating subject priors improved the accuracy of bounded rational response equilibria.

Conclusions:

  • Bounded rational response equilibria offer a general framework for sensorimotor interactions.
  • This model includes Nash equilibrium as a special case under ideal conditions.
  • Findings highlight the role of bounded rationality and priors in haptic interactions.