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.
Gaglio, S., LO RE, G., & Ortolani, M. (2011). Cognitive meta-learning of syntactically inferred concepts. In BIOLOGICALLY INSPIRED COGNITIVE ARCHITECTURES 2011 (pp. 118-123) [10.3233/978-1-60750-959-2-118].
Data di pubblicazione: | 2011 | |
Titolo: | Cognitive meta-learning of syntactically inferred concepts | |
Autori: | ||
Citazione: | Gaglio, S., LO RE, G., & Ortolani, M. (2011). Cognitive meta-learning of syntactically inferred concepts. In BIOLOGICALLY INSPIRED COGNITIVE ARCHITECTURES 2011 (pp. 118-123) [10.3233/978-1-60750-959-2-118]. | |
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. | |
Digital Object Identifier (DOI): | http://dx.doi.org/10.3233/978-1-60750-959-2-118 | |
URL: | http://www.scopus.com/record/display.url?eid=2-s2.0-80155141449&origin=inward&txGid=B29F4B91846E0A7C996DB9BA35610DE2.euC1gMODexYlPkQec4u1Q%3a1 | |
Settore Scientifico Disciplinare: | Settore ING-INF/05 - Sistemi Di Elaborazione Delle Informazioni | |
Appare nelle tipologie: | 2.01 Capitolo o Saggio |
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