To help another person, we need to infer his or her goal and intention and then perform the action that he or she was unable to perform to meet the intended goal. In this study, we investigate a computational mechanism for inferring someone's intention and goal from that person's incomplete action to enable the action to be completed on his or her behalf. As a minimal and idealized motor control task of this type, we analyzed single-link pendulum control tasks by manipulating the underlying goals. By analyzing behaviors generated by multiple types of these tasks, we found that a type of fractal dimension of movements is characteristic of the difference in the underlying motor controllers, which reflect the difference in the underlying goals. To test whether an incomplete action can be completed using this property of the action trajectory, we demonstrated that the simulated pendulum controller can perform an action in the direction of the underlying goal by using the fractal dimension as a criterion for similarity in movements.

为了帮助另一个人，我们需要推断他或她的目标和意图，然后执行他或她无法执行的行动以实现预期目标。在这项研究中，我们研究了一种计算机制，用于从某人未完成的行动中推断某人的意图和目标，从而使该行动能够代表他或她完成。作为这种类型的最小和理想化的电机控制任务，我们通过操纵潜在目标来分析单连杆摆控制任务。通过分析这些任务的多种类型产生的行为，我们发现一种运动的分形维数是底层电机控制器差异的特征，这反映了底层目标的差异。为了测试是否可以使用动作轨迹的这个属性完成一个不完整的动作，