From Deterministic ODEs to Dynamic Structural Causal Models

Open Access
Authors
Publication date 2018
Host editors
  • A. Globerson
  • R. Silva
Book title Uncertainty in Artificial Intelligence
Book subtitle proceedings of the Thirty-Fourth Concerence (2018) : August 6-10, 2018, Monterey, California, USA
ISBN (electronic)
  • 978099664319
Event 34th Conference on Uncertainty in Artificial Intelligence
Article number 43
Pages (from-to) 114-123
Number of pages 10
Publisher Corvallis, Oregon: AUAI Press
Organisations
  • Faculty of Science (FNWI) - Informatics Institute (IVI)
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.
Document type Conference contribution
Note With supplementary file
Language English
Published at
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43 (Accepted author manuscript)
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