During interaction with others, we perceive and produce social actions in
close temporal distance or even simultaneously. It has been argued that the
motor system is involved in perception and action, playing a fundamental role
in the handling of actions produced by oneself and by others. But how does it
distinguish in this processing between self and other, thus contributing to
self-other distinction? In this paper we propose a hierarchical model of
sensorimotor coordination based on principles of perception-action coupling and
predictive processing in which self-other distinction arises during action and
perception. For this we draw on mechanisms assumed for the integration of cues
for a sense of agency, i.e., the sense that an action is self-generated. We
report results from simulations of different scenarios, showing that the model
is not only able to minimize free energy during perception and action, but also
showing that the model can correctly attribute sense of agency to own actions.

本文提出了一个基于感知 - 动作耦合和预测处理原则的层级传感器运动协调模型，该模型能够在感知和动作过程中实现自我和他人的区分，并且具有正确地将代理感归因于自己动作的能力。