Abstract
We evaluate information-theoretic quantities that quantify complexity in terms of -order statistical dependences that cannot be reduced to interactions among 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.
- Received 13 June 2008
DOI:https://doi.org/10.1103/PhysRevE.79.026201
©2009 American Physical Society