SELF-ORGANIZING PARTICLE SYSTEMS

Malte Harder () and Daniel Polani ()
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Malte Harder: Adaptive Systems Research Group, University of Hertfortshire, College Lane, Hatfield, AL10 9AB, United Kingdom
Daniel Polani: Adaptive Systems Research Group, University of Hertfortshire, College Lane, Hatfield, AL10 9AB, United Kingdom

Advances in Complex Systems (ACS), 2013, vol. 16, issue 02n03, 1-24

Abstract: The self-organization of cells into a living organism is a very intricate process. Under the surface of orchestrating regulatory networks there are physical processes which make the information processing possible, that is required to organize such a multitude of individual entities. We use a quantitative information theoretic approach to assess self-organization of a collective system. In particular, we consider an interacting particle system, that roughly mimics biological cells by exhibiting differential adhesion behavior. Employing techniques related to shape analysis, we show that these systems in most cases exhibit self-organization. Moreover, we consider spatial constraints of interactions, and additionaly show that particle systems can self-organize without the emergence of pattern-like structures. However, we will see that regular pattern-like structures help to overcome limitations of self-organization that are imposed by the spatial structure of interactions.

Keywords: Self-organization; information theory; morphogenesis (search for similar items in EconPapers)
Date: 2013
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DOI: 10.1142/S0219525912500890

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