Mutual Information Disentangles Interactions from Changing Environments
Giorgio Nicoletti, Daniel Maria Busiello
Abstract
Real-world systems are characterized by complex interactions of their internal degrees of freedom, while living in ever-changing environments whose net effect is to act as additional couplings. Here, we introduce a paradigmatic interacting model in a switching, but unobserved, environment. We show that the limiting properties of the mutual information of the system allow for a disentangling of these two sources of couplings. Further, our approach might stand as a general method to discriminate complex internal interactions from equally complex changing environments.
Topics & Concepts
LimitingMutual informationComputer scienceComplex systemStatistical physicsComplex networkMeasure (data warehouse)Risk analysis (engineering)Theoretical computer scienceNet (polyhedron)Information systemInformation theoryClass (philosophy)Basis (linear algebra)Computability, Logic, AI AlgorithmsEmbodied and Extended CognitionOrigins and Evolution of Life