Decomposing past and future: Integrated information decomposition based on shared probability mass exclusions.

ABSTRACT: A core feature of complex systems is that the interactions between elements in the present causally constrain their own futures, and the futures of other elements as the system evolves through time. To fully model all of these interactions (between elements, as well as ensembles of elements), it is possible to decompose the total information flowing from past to future into a set of non-overlapping temporal interactions that describe all the different modes by which information can be stored, transferred, or modified. To achieve this, I propose a novel information-theoretic measure of temporal dependency (Iτsx) based on the logic of local probability mass exclusions. This integrated information decomposition can reveal emergent and higher-order interactions within the dynamics of a system,

SUBMITTER: Varley TF 

PROVIDER: S-EPMC10035902 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature