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Regulated Activation Networks(RANs), is a computational cognitive model. This modelling approach is based upon the Principles of Regulated Activation Networks(PRANs), 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.
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