American Physical Society, Physical review E: Statistical, nonlinear, and soft matter physics, 2(79), 2009
DOI: 10.1103/physreve.79.026201
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We evaluate information-theoretic quantities that quantify complexity in terms of kth-order statistical dependences that cannot be reduced to interactions among k-1 random variables. Using symbolic dynamics of coupled maps and cellular automata as model systems, we demonstrate that these measures are able to identify complex dynamical regimes.