This paper presents the application of the RCE neural network for the development of an incremental representation of conceptual symbols. We first briefly discuss the issue of the autonomous learning mechanism within the context of self-development of perceptive and cognitive skills through the interaction with real environment. Then, we address the issue of internal representations of knowledge and skills. As an example, we illustrate in detail the application and implementation of R CE neural network to incrementally build the internal representation of the conceptual symbols at the elementary level (e.g. the symbols from 0 to 9, or from a to z).
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