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Cognitive Meta-learning of Syntactically Inferred Concepts
Salvatore Gaglio, Giuseppe Lo Re, Marco Ortolani
118 - 123
10.3233/978-1-60750-959-2-118
Frontiers in Artificial Intelligence and Applications
Volume 233: Biologically Inspired Cognitive Architectures 2011
Abstract

This paper outlines a proposal for a two-level cognitive architecture reproducing the process of abstract thinking in human beings. The key idea is the use of a level devoted to the extraction of compact representation for basic concepts, with additional syntactic inference carried on at a meta-level, in order to provide generalization. Higher-level concepts are inferred according to a principle of simplicity, consistent with Kolmogorov complexity, and merged back into the lower level in order to widen the underlying knowledge base.

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