From Ordinary Differential Equations to Structural Causal Models: the deterministic case

Open Access
Authors
Publication date 2013
Host editors
  • A. Nicholson
  • P. Smyth
Book title Uncertainty in artificial intelligence: proceedings of the twenty-ninth conference (2013): July 12-14, 2013, Bellevue, Washington, United States
ISBN
  • 9780974903996
Event Conference on Uncertainty in Artificial Intelligence; 29 (Bellevue, Wash.)
Pages (from-to) 440-448
Publisher Corvallis, Oregon: AUAI Press
Organisations
  • Faculty of Science (FNWI) - Informatics Institute (IVI)
Abstract We show how, and under which conditions, the equilibrium states of a first-order Ordinary Differential Equation (ODE) system can be described with a deterministic Structural Causal Model (SCM). Our exposition sheds more light on the concept of causality as expressed within the framework of Structural Causal Models, especially for cyclic models.
Document type Conference contribution
Language English
Published at http://auai.org/uai2013/prints/proceedings.pdf
Downloads
From_Ordinary_Differential_Equations.pdf (Final published version)
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