抄録
In this paper, we discuss possible neural mechanisms that enable adaptive behavior. In order to investigate the mechanisms, we developed a novel hierarchical neural network model that can learn to predict not only the next sensory input but also its predictability. We conducted neuro-robotics experiments in which a robot controlled by our proposed network was required to generate cooperative behavior with a human controlled robot. Our experimental results demonstrate that two distinct neural mechanisms that select proactive and reactive behavior based on the predictability can be self-organized through learning.
