Computational joint action: Dynamical models to understand the development of joint coordination.

ABSTRACT: 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 their actions based on an explicit prediction of what the partner will be doing-a partner model-which is probabilistic by nature. However, the mechanisms underlying the development of a joint coordination over repeated trials remain unknown. Very much like sensorimotor adaptation of individuals to external perturbations (eg force fields or visual rotations), dynamical models may hel

SUBMITTER: De Vicariis C 

PROVIDER: S-EPMC11530078 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature