Dynamical theory of complex systems with two-way micro-macro causation.

ABSTRACT: In many complex systems encountered in the natural and social sciences, mechanisms governing system dynamics at a microscale depend upon the values of state variables characterizing the system at coarse-grained, macroscale (Goldenfeld and Woese, 2011, Noble et al., 2019, and Chater and Loewenstein, 2023). State variables, in turn, are averages over relevant probability distributions of the microscale variables. Neither inferential Top-Down nor mechanistic Bottom-Up modeling alone can predict responses of such scale-entwined systems to perturbations. We describe and explore the properties of a dynamic theory that combines Top-Down information-theoretic inference with Bottom-Up, state-variable-dependent mechanisms. The theory predicts the functional form of nonsta

SUBMITTER: Harte J 

PROVIDER: S-EPMC11648627 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature