Predicting the results of one’s own actions is a powerful cognitive capability that can aid in determining which action to take in a given situation. In this paper, we describe a taskindependent framework based on the Soar cognitive architecture in which rules, episodic memory, semantic memory, mental imagery, and task decomposition are available for predicting an action’s consequences. We incl...

Recently, brain models attempt to support cognitive abilities of artificial organisms. Incremental approaches are often employed to support modelling process. The present work introduces a novel computational framework for incremental brain modelling, which aims at enforcing partial components re-usability. A coevolutionary agent-based approach is followed which utilizes properly formulated neu...

Copyright © 2016 Etienne de Villers-Sidani et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The remarkable plastic nature of our brain, often manifesting itself via changes in how brain circuits code information, is at the o...