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Related Experiment Video

Updated: Jun 21, 2026

A Human-machine-interface Integrating Low-cost Sensors with a Neuromuscular Electrical Stimulation System for Post-stroke Balance Rehabilitation
11:06

A Human-machine-interface Integrating Low-cost Sensors with a Neuromuscular Electrical Stimulation System for Post-stroke Balance Rehabilitation

Published on: April 12, 2016

Nash equilibria in multi-agent motor interactions.

Daniel A Braun1, Pedro A Ortega, Daniel M Wolpert

  • 1Computational and Biological Learning Laboratory, Department of Engineering, University of Cambridge, Cambridge, UK. dab54@cam.ac.uk

Plos Computational Biology
|August 15, 2009
PubMed
Summary
This summary is machine-generated.

In competitive two-player motor tasks, individuals naturally reach Nash equilibria, similar to evolutionary game theory. However, when one person controls both sides, cooperative solutions emerge, revealing insights into motor control and game theory.

Related Experiment Videos

Last Updated: Jun 21, 2026

A Human-machine-interface Integrating Low-cost Sensors with a Neuromuscular Electrical Stimulation System for Post-stroke Balance Rehabilitation
11:06

A Human-machine-interface Integrating Low-cost Sensors with a Neuromuscular Electrical Stimulation System for Post-stroke Balance Rehabilitation

Published on: April 12, 2016

Area of Science:

  • Motor control
  • Evolutionary game theory
  • Human-computer interaction

Background:

  • Classical game theory predicts Nash equilibria in competitive scenarios with rational agents.
  • Evolutionary game theory demonstrates Nash equilibria as attractors in dynamic systems, like microbial populations.
  • Understanding motor interactions through a game theoretic lens is an emerging area.

Purpose of the Study:

  • To investigate whether Nash equilibria emerge in two-player sensorimotor interactions.
  • To explore the outcomes of bimanual sensorimotor tasks where a single player controls both roles.
  • To apply game theoretic principles to human motor interactions.

Main Methods:

  • Two-player motor interaction tasks modeled on the prisoner's dilemma and rope-pulling game.
  • Analysis of sensorimotor interactions under competitive and cooperative conditions.
  • Comparison of outcomes between two-player and single-player (bimanual) control scenarios.

Main Results:

  • Two-player motor interactions predominantly resulted in Nash equilibria, reflecting competitive dynamics.
  • Single-player, bimanual control of sensorimotor tasks led to cooperative solutions.
  • Motor coupling in bimanual tasks shifted outcomes from competitive to cooperative.

Conclusions:

  • Human motor interactions can naturally converge to game theoretic solutions like Nash equilibria.
  • The structure of motor control (competitive vs. cooperative) influences the emergent game theoretic outcome.
  • This research provides a novel framework for studying human motor behavior using game theory.