Regulated Activation Networks Explained

Regulated Activation Networks(RANs), is a computational cognitive model. This modelling approach is based upon the Principles of Regulated Activation Networks(PRANs),^{[1] [2]} 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.

See also

• Connectionist models.
• Cognitive models.
• Computational Psychology.
• Neural Networks.
• Machine Learning.
• Deep Representations.
• Conceptual Spaces.
• Conceptual Representations.

Notes and References

1. Book: PInto. Alexandre Miguel. Barroso. Leandro. Graph-Based Representation and Reasoning . Principles of Regulated Activation Networks . 8577. July 20–30, 2014. 231–244. 10.1007/978-3-319-08389-6_19. Lecture Notes in Computer Science. 978-3-319-08388-9.
2. Book: Nathalie Hernandez. Robert Jäschke. Madalina Croitoru. Graph-Based Representation and Reasoning: 21st International Conference on Conceptual Structures, ICCS 2014, Iaşi, Romania, July 27-30, 2014, Proceedings. 17 July 2014. Springer. 978-3-319-08389-6. 236–.