creators_name: Licata, Ignazio creators_id: ignazio.licata@ejtp.info type: journalp datestamp: 2009-10-15 22:58:25 lastmod: 2011-03-11 08:57:27 metadata_visibility: show title: Logical openness in Cognitive Models ispublished: pub subjects: phil-epist subjects: comp-sci-complex-theory subjects: comp-sci-mach-dynam-sys subjects: phil-mind subjects: phil-sci subjects: neuro-mod subjects: comp-sci-neural-nets subjects: comp-sci-art-intel full_text_status: public keywords: Simbolic and Sub-simbolic Cognitive Models; Information and System Theory; Emergence; Logical and Thermodynamical Openness ; Turing and Natural Computation abstract: It is here proposed an analysis of symbolic and sub-symbolic models for studying cognitive processes, centered on emergence and logical openness notions. The Theory of logical openness connects the Physics of system/environment relationships to the system informational structure. In this theory, cognitive models can be ordered according to a hierarchy of complexity depending on their logical openness degree, and their descriptive limits are correlated to Gödel-Turing Theorems on formal systems. The symbolic models with low logical openness describe cognition by means of semantics which fix the system/environment relationship (cognition in vitro), while the sub-symbolic ones with high logical openness tends to seize its evolutive dynamics (cognition in vivo). An observer is defined as a system with high logical openness. In conclusion, the characteristic processes of intrinsic emergence typical of “bio-logic” - emerging of new codes-require an alternative model to Turing-computation, the natural or bio-morphic computation, whose essential features we are going here to outline. date: 2008 date_type: published publication: Epistemologia XXXI (2008), pp. 177-192. publisher: Tilgher refereed: TRUE referencetext: Arbib, M. 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