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Entropy 2016, 18(5), 172; doi:10.3390/e18050172

Stochastic Resonance, Self-Organization and Information Dynamics in Multistable Systems

1
Interdisciplinary Center for Nonlinear Phenomena and Complex Systems, Université Libre de Bruxelles, Campus Plaine, CP 231, bd du Triomphe, Brussels 1050, Belgium
2
Institut Royal Météorologique de Belgique, 3 av. Circulaire, Brussels 1180, Belgium
These authors contributed equally to this work.
*
Author to whom correspondence should be addressed.
Academic Editors: Hermann Haken and Juval Portugali
Received: 15 March 2016 / Revised: 25 April 2016 / Accepted: 28 April 2016 / Published: 4 May 2016
(This article belongs to the Special Issue Information and Self-Organization)
View Full-Text   |   Download PDF [409 KB, uploaded 4 May 2016]   |  

Abstract

A class of complex self-organizing systems subjected to fluctuations of environmental or intrinsic origin and to nonequilibrium constraints in the form of an external periodic forcing is analyzed from the standpoint of information theory. Conditions under which the response of information entropy and related quantities to the nonequilibrium constraint can be optimized via a stochastic resonance-type mechanism are identified, and the role of key parameters is assessed. View Full-Text
Keywords: nonlinear dynamics; self-organization; stochastic resonance; Markov processes; entropy; information theory nonlinear dynamics; self-organization; stochastic resonance; Markov processes; entropy; information theory
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Nicolis, G.; Nicolis, C. Stochastic Resonance, Self-Organization and Information Dynamics in Multistable Systems. Entropy 2016, 18, 172.

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