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DOI: http://dx.doi.org/10.7551/978-0-262-32621-6-ch070
Pages 429-430
First published 30 July 2014

Structure and dynamics affect the controllability of complex systems: a Preliminary Study

Alexander J. Gates and Luis M. Rocha

Abstract (Excerpt)

Complex systems are typically understood as large nonlinear multivariate systems. Their organization and behavior are commonly modeled by representations such as graphs and automata networks. Graphs, where nodes representing variables lack intrinsic dynamics, capture the structure or organization of complex systems. The simplest way to study multi-variate dynamics, is to allow network nodes to have states and update them with automata; for instance, Boolean networks (BN) are canonical models of complex systems and exhibit a wide range of dynamical behaviors.