title: Logical openness in Cognitive Models creator: Licata, Prof. Ignazio subject: Epistemology subject: Complexity Theory subject: Dynamical Systems subject: Philosophy of Mind subject: Philosophy of Science subject: Neural Modelling subject: Neural Nets subject: Artificial Intelligence description: 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. publisher: Tilgher date: 2008 type: Journal (Paginated) type: PeerReviewed format: application/pdf identifier: http://cogprints.org/6638/1/EP_Licata.pdf identifier: Licata, Prof. Ignazio (2008) Logical openness in Cognitive Models. [Journal (Paginated)] relation: http://cogprints.org/6638/