Uncertainty in Artificial Intelligence
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From Ordinary Differential Equations to Structural Causal Models: the deterministic case
Joris Mooij, Dominik Janzing, Bernhard Schoelkopf
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.
Keywords:
Pages: 440-448
PS Link:
PDF Link: /papers/13/p440-mooij.pdf
BibTex:
@INPROCEEDINGS{Mooij13,
AUTHOR = "Joris Mooij and Dominik Janzing and Bernhard Schoelkopf",
TITLE = "From Ordinary Differential Equations to Structural Causal Models: the deterministic case",
BOOKTITLE = "Proceedings of the Twenty-Ninth Conference Annual Conference on Uncertainty in Artificial Intelligence (UAI-13)",
PUBLISHER = "AUAI Press",
ADDRESS = "Corvallis, Oregon",
YEAR = "2013",
PAGES = "440--448"
}


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