Computational joint action: dynamical models to understand the development of joint coordination

Abstract excerpt

Coordinating with others is part of our everyday experience. Previous studies using sensorimotor coordination games suggest that human dyads develop coordination strategies that can be interpreted as Nash equilibria. However, if the players are uncertain about what their partner is doing, they develop coordination strategies which are robust to the actual partner’s actions. This has suggested that humans select th...

Topics

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• Catechol O-Methyltransferase
• Learning
• Memory, Short-Term
• Models, Neurological
• Photic Stimulation
• Psychomotor Performance
• Receptors, G-Protein-Coupled
• Reinforcement, Psychology

Identifiers and source

Literature Corpus work

27aeca7c-4629-50c7-9f7a-0c2768e38110

DOI

10.1101/2024.02.25.582011