In this paper, a novel cognitive architecture for action recognition is developed by applying
layers of growing grid neural networks. Using these layers makes the system capable of …

Automatic recognition of an online series of unsegmented actions requires a method for
segmentation that determines when an action starts and when it ends. In this paper, a novel …

This article proposes an architecture, which allows the prediction of intention by internally
simulating perceptual states represented by action pattern vectors. To this end, associative …