Regulated Activation Networks
Regulated Activation Networks, is a computational cognitive model. This modelling approach is based upon the Principles of Regulated Activation Networks, which are summarized as:
- The model must have a dynamic topology.
- The model must be capable creating abstract concepts.
- The model must be able to learn association among the concepts.
- The model must exhibit time-variant activation states.