Perspective Taking Through Simulation

Abstract

Robots that operate among humans need to be able to attribute mental states in order to facilitate learning through imitation and collaboration.The success of the simulation theory approach for attributing mental states to another person relies on the ability to take the perspective of that person, typically by generating pretend states from that person's point of view.In this paper, internal inverse and forward models are coupled to create simulation processes that may be used for mental state attribution: simulation of the visual process is used to attribute perceptions, and simulation of the motor control process is used to attribute potential actions.To demonstrate the approach, experiments are performed with a robot attributing perceptions and potential actions to a second robot.