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Spatially embedded dynamics and complexity

Buckley, Christopher L. and Bullock, Seth (2010) Spatially embedded dynamics and complexity Complexity, 16, (2), pp. 29-34.

Record type: Article


To gain a deeper understanding of the impact of spatial embedding on the dynamics of complex systems we employ a measure of interaction complexity developed within neuroscience using the tools of statistical information theory. We apply this measure to a set of simple network models embedded within Euclidean spaces of varying dimensionality in order to characterise the way in which the constraints imposed by low-dimensional spatial embedding contribute to the dynamics (rather than the structure) of complex systems. We demonstrate that strong spatial constraints encourage high intrinsic complexity, and discuss the implications for complex systems in general.

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Published date: 2010
Organisations: Agents, Interactions & Complexity


Local EPrints ID: 271064
PURE UUID: 6e7caeda-03ab-408e-85ef-d3dcda4f6c91

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Date deposited: 13 May 2010 08:22
Last modified: 18 Jul 2017 06:47

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Author: Christopher L. Buckley
Author: Seth Bullock

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