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.
|Titolo della pubblicazione ospite||BIOLOGICALLY INSPIRED COGNITIVE ARCHITECTURES 2011|
|Numero di pagine||6|
|Stato di pubblicazione||Published - 2011|
|Nome||FRONTIERS IN ARTIFICIAL INTELLIGENCE AND APPLICATIONS|