Asymptotic Information-Theoretic Detection of Dynamical Organization in Complex Systems
The identification of emergent structures in complex dynamical systems is a formidable challenge.We propose a computationally efficient methodology to address such a challenge, based on modeling the state of the system as a set of random variables.Specifically, we present a sieving algorithm to navigate the huge space of all subsets of variables an