Abstract
In this work, we propose a computational model employing a recurrent neural network for modeling the developmental process of action prediction ability. Our hypothesis is that temporal memory is a driving force mechanism for the development of this ability. While keeping consistency with the psychological findings, our experimental results confirmed the hypothesis, showing that memory capacity has a strong influence on the development of prediction abilities.
