Self-Organization, Active Brownian Dynamics, and Biological Applications

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dc.creatorEbeling, Werner
dc.creatorSchweitzer, Frank
dc.date2002-11-26
dc.date2004-01-23
dc.date.accessioned2026-07-07T02:48:23Z
dc.date.available2026-07-07T02:48:23Z
dc.descriptionAfter summarizing basic features of self-organization such as entropy export, feedbacks and nonlinear dynamics, we discuss several examples in biology. The main part of the paper is devoted to a model of active Brownian motion that allows a stochastic description of the active motion of biological entities based on energy consumption and conversion. This model is applied to the dynamics of swarms with external and interaction potentials. By means of analytical results, we can distiguish between translational, rotational and amoebic modes of swarm motion. We further investigate swarms of active Brownian particles interacting via chemical fields and demonstrate the application of this model to phenomena such as biological aggregation and trail formation in insects.
dc.description22 pages, 9 multipart figures (minor changes after vers.1), For related papers see http://www.ais.fraunhofer.de/~frank/papers.html
dc.identifierhttps://arxiv.org/abs/cond-mat/0211606
dc.identifierhttp://arxiv.org/abs/cond-mat/0211606
dc.identifierNova Acta Leopoldina NF, vol. 88, no. 332 (2003) pp. 169-188
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/20385
dc.subjectStatistical Mechanics
dc.subjectAdaptation and Self-Organizing Systems
dc.subjectBiological Physics
dc.subjectQuantitative Biology
dc.titleSelf-Organization, Active Brownian Dynamics, and Biological Applications
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