Cognitive meta-learning of syntactically inferred concepts

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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.
Lingua originaleEnglish
Titolo della pubblicazione ospiteBIOLOGICALLY INSPIRED COGNITIVE ARCHITECTURES 2011
Pagine118-123
Numero di pagine6
Stato di pubblicazionePublished - 2011

Serie di pubblicazioni

NomeFRONTIERS IN ARTIFICIAL INTELLIGENCE AND APPLICATIONS

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence

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