An Hybrid Neural System based on Adaptive Resonance Theory and Representational Redescription capable of Variable Binding

摘要

In this work we propose a hybrid neural architecture named VaBiARRT based on the adaptive resonance theory that relies on representational redescription to archive a high degree of generalization and code compactness. Knowledge is autonomously structured