From Deterministic ODEs to Dynamic Structural Causal Models
August 29, 2016 Β· Declared Dead Β· π Conference on Uncertainty in Artificial Intelligence
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Authors
Paul K. Rubenstein, Stephan Bongers, Bernhard Schoelkopf, Joris M. Mooij
arXiv ID
1608.08028
Category
cs.AI: Artificial Intelligence
Citations
57
Venue
Conference on Uncertainty in Artificial Intelligence
Last Checked
3 months ago
Abstract
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.
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