Complexity measures from interaction structures
Complexity measures from interaction structures
We evaluate information-theoretic quantities that quantify complexity in terms of $k\text{th}$-order statistical dependences that cannot be reduced to interactions among $k\ensuremath{-}1$ 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.