From Deterministic ODEs to Dynamic Structural Causal Models
| Authors |
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|---|---|
| Publication date | 2018 |
| Host editors |
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| Book title | Uncertainty in Artificial Intelligence |
| Book subtitle | proceedings of the Thirty-Fourth Concerence (2018) : August 6-10, 2018, Monterey, California, USA |
| ISBN (electronic) |
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| 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 |
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| 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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| Document type | Conference contribution |
| Note | With supplementary file |
| Language | English |
| Published at | http://auai.org/uai2018/proceedings/papers/43.pdf http://auai.org/uai2018/proceedings/uai2018proceedings.pdf |
| Other links | http://auai.org/uai2018/proceedings/supplements/Supplementary-Paper43.pdf |
| Downloads |
43
(Accepted author manuscript)
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| Supplementary materials | |
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