DiscoverConcrete CausationDisentangling Nets for Causal Inference
Disentangling Nets for Causal Inference

Disentangling Nets for Causal Inference

Update: 2011-09-15
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As part of the MCMP group presentation at the DGPhil XXII Workshop on Mathematical Philosophy Roland Poellinger (Munich Center for Mathematical Philosophy/LMU Munich) gives a mini presentation titled "Disentangling Nets for Causal Inference", in which he motivates an extension of standard Bayes net causal models to also allow for the embedding of non-causal knowledge. A longer introduction to the framework of Causal Knowledge Patterns (CKPs) can be found in the recording of the talk "Computing Non-Causal Knowledge for Causal Reasoning". The video "The Mind-Brain Entanglement" contains an application of CKPs in the philosophy of mind.
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Disentangling Nets for Causal Inference

Disentangling Nets for Causal Inference

Roland Poellinger (MCMP/LMU Munich)