Regulated Activation Networks

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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),{{cite book|last1=PInto|first1=Alexandre Miguel|last2=Barroso|first2=Leandro|title=Graph-Based Representation and Reasoning |chapter=Principles of Regulated Activation Networks |volume=8577|date=July 20–30, 2014|pages=231–244|doi=10.1007/978-3-319-08389-6_19|series=Lecture Notes in Computer Science|isbn=978-3-319-08388-9}}{{cite book|author1=Nathalie Hernandez|author2=Robert Jäschke|author3=Madalina Croitoru|title=Graph-Based Representation and Reasoning: 21st International Conference on Conceptual Structures, ICCS 2014, Iaşi, Romania, July 27-30, 2014, Proceedings|url=https://books.google.com/books?id=7FIqBAAAQBAJ&pg=PA236|date=17 July 2014|publisher=Springer|isbn=978-3-319-08389-6|pages=236–}} 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.