6533b828fe1ef96bd1288928

RESEARCH PRODUCT

Cognitive meta-learning of syntactically inferred concepts

Salvatore GaglioGiuseppe Lo ReMarco Ortolani

subject

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniGrammar InferenceKolmogorov complexityCognitive learning

description

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.

yearjournalcountryeditionlanguage
2011-01-01
10.3233/978-1-60750-959-2-118http://hdl.handle.net/10447/103786