BAsCET is the fundamental architecture of ECTOR. It is shown in my PhD Thesis (in French only).
The Concept Network is BAsCET's model. It matches the COPYCAT's Slipnet. It is a dynamic one: it evolves to adapt to the problem. We can call this model an hybrid one. It is between a semantic network and an artificial neural network. From the semantic network, it gets the symbolic nature of its nodes. From the neural net, it gets the activation propagation, through weighted links.
One can say it works by nodes association (when a node is activated, and it is strongly bound to another one, it will activate this other node). Furthermore, building a Concept Network in a certain manner, one can say it works by symbols association and concepts emergence.