Spatially embedded dynamics and complexity
Buckley, Christopher L. and Bullock, Seth (2010) Spatially embedded dynamics and complexity. Complexity (Submitted).
- Accepted Version
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.
|Divisions:||Faculty of Physical and Applied Science > Electronics and Computer Science > Agents, Interactions & Complexity
|Date Deposited:||13 May 2010 08:22|
|Last Modified:||24 Aug 2012 03:33|
|Contributors:||Buckley, Christopher L. (Author)
Bullock, Seth (Author)
|Further Information:||Google Scholar|
|ISI Citation Count:||1|
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
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