Spatially embedded dynamics and complexity
Author(s) -
Buckley Christopher L.,
Bullock Seth,
Barnett Lionel
Publication year - 2010
Publication title -
complexity
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.447
H-Index - 61
eISSN - 1099-0526
pISSN - 1076-2787
DOI - 10.1002/cplx.20337
Subject(s) - embedding , measure (data warehouse) , computer science , curse of dimensionality , simple (philosophy) , euclidean geometry , theoretical computer science , set (abstract data type) , complex system , dynamics (music) , statistical physics , mathematics , artificial intelligence , data mining , physics , philosophy , geometry , epistemology , acoustics , programming language
To gain a deeper understanding of the impact of spatial embedding on the dynamics of complex systems, we use 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 to characterize 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. © 2010 Wiley Periodicals, Inc. Complexity 16: 29–34, 2010
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