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From Deterministic ODEs to Dynamic Structural Causal Models
P. K. Rubenstein, S. Bongers, B. Schölkopf and J. M. Mooij
Proceedings of the 34th Annual Conference on Uncertainty in Artificial Intelligence  (
UAI 2018)
Structural Causal Models are widely used in causal modelling, but how they relate to other modelling tools is poorly understood. In this paper we provide a novel perspective on the relationship between Ordinary Differential Equations and Structural Causal Models. We show how, under certain conditions, the asymptotic behaviour of an Ordinary Differential Equation under non-constant interventions can be modelled using Dynamic Structural Causal Models. In contrast to earlier work, we study not only the effect of interventions on equilibrium states; rather, we model asymptotic behaviour that is dynamic under interventions that vary in time, and include as a special case the study of static equilibria.