Literature DB >> 8734533

A dynamical model of the meaning of information.

J Barham.   

Abstract

The main challenge for information science is to naturalize the semantic content of information. This can only be achieved in the context of a naturalized teleology (by 'teleology' is meant the coherence and the coordination of the physical forces which constitute the living state). Neither semiotics nor cybernetics are capable of performing this task, but non-equilibrium thermodynamics and non-linear dynamics may be. A physical theory of the meaning of information is sketched, first by identifying biofunctions with generalized non-linear oscillators and their associated phase-space attractors, and then by postulating the existence, within all such oscillators, of a component capable of coordinating low-energy interactions with the correct environmental conditions supporting the dynamical stability of the oscillator. The meaning of information is thus interpreted as the prediction of successful functional action.

Mesh:

Year:  1996        PMID: 8734533     DOI: 10.1016/0303-2647(95)01596-5

Source DB:  PubMed          Journal:  Biosystems        ISSN: 0303-2647            Impact factor:   1.973


  5 in total

Review 1.  Neurodynamics of mind: the arrow illusion of conscious intentionality as downward causation.

Authors:  Joaquín Barutta; Ezequiel Gleichgerrcht; Carlos Cornejo; Agustín Ibáñez
Journal:  Integr Psychol Behav Sci       Date:  2010-03-27

Review 2.  The biogenic approach to cognition.

Authors:  Pamela Lyon
Journal:  Cogn Process       Date:  2005-10-19

3.  Semantic information, autonomous agency and non-equilibrium statistical physics.

Authors:  Artemy Kolchinsky; David H Wolpert
Journal:  Interface Focus       Date:  2018-10-19       Impact factor: 3.906

Review 4.  Dissipation of 'dark energy' by cortex in knowledge retrieval.

Authors:  Antonio Capolupo; Walter J Freeman; Giuseppe Vitiello
Journal:  Phys Life Rev       Date:  2013-01-09       Impact factor: 11.025

Review 5.  The capabilities of chaos and complexity.

Authors:  David L Abel
Journal:  Int J Mol Sci       Date:  2009-01-09       Impact factor: 6.208

  5 in total

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