Concrete Causation

By Roland PöllingerEducation

Concrete Causation episodes

March 03, 2014 Graphs as Models of Interventions
In this talk Roland Poellinger (Munich) gives an outline of Judea Pearl's deterministic approach towards causation (workshop "Concrete Causation", 9 July, 2010). The title of the talk is taken from the programmatic section 2.2 of Pearl's paper "Causal Diagrams for Empirical Research" (Biometrika, Vol. 82, No. 4, 669-709, 1995) which is briefly sketched and commented on as an introduction to Pearl's interventionist account of causal analysis. Further topics: The problems of simple causal networks, interventions as variables, Humphreys' paradox, and causal decision making.
41 min
March 03, 2014 Modelling Experimental Interventions: Results and Challenges
In this talk at the LMU workshop "Concrete Causation" (9 July, 2010) Jan-Willem Romeijn (Groningen) discusses probabilistic models of experimental intervention, and shows that such models elucidate the intuition that observations following intervention are more informative than observations per se (due to technical problems about one minute of the recording is skipped)
41 min
March 03, 2014 The Causal Chain Problem
In this talk at the LMU workshop "Concrete Causation" (9 July, 2010) Michael Baumgartner (Konstanz) discusses "The Causal Chain Problem"
37 min
March 03, 2014 Causality and Observational Equivalence of Deterministic and Indeterministic Descriptions
Charlotte Werndl (Oxford) presents her results on "Causality and Observational Equivalence of Deterministic and Indeterministic Descriptions" (workshoo "Concrete Causation", 9 July 2010).
45 min
March 03, 2014 A Ranking-theoretic Account of Causation
Professor Wolfgang Spohn (Konstanz) presents his ranking-theoretic account of causation as keynote speaker at the LMU workshop "Concrete Causation" (9 July, 2010). [Due to technical problems the recording begins with the second slide.]
55 min
September 15, 2011 Disentangling Nets for Causal Inference
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.
13 min
September 13, 2011 Disentangling Nets for Causal Inference
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.
13 min
June 12, 2011 Computing Non-Causal Knowledge for Causal Reasoning
Roland Poellinger (Munich Center for Mathematical Philosophy/LMU Munich) gives a talk at the MCMP Workshop on Computational Metaphysics titled "Computing Non-Causal Knowledge for Causal Reasoning". Abstract: We use logical and mathematical knowledge to generate causal claims. Inter-definitions or semantic overlap cannot be consistently embedded in standard Bayes net causal models since in many cases the Markov requirement will be violated. These considerations motivate an extension of Bayes net causal models to also allow for the embedding of Epistemic Contours (ECs). Such non-causal functions are consistently computable in Causal Knowledge Patterns (CKPs). An application of the framework can be found, e.g., in the recording of the talk "The Mind-Brain Entanglement".
56 min
August 06, 2010 Modelling Experimental Interventions: Results and Challenges
In this talk at the LMU workshop "Concrete Causation" (9 July, 2010) Jan-Willem Romeijn (Groningen) discusses probabilistic models of experimental intervention, and shows that such models elucidate the intuition that observations following intervention are more informative than observations per se (due to technical problems about one minute of the recording is skipped)
41 min
August 02, 2010 Graphs as Models of Interventions
In this talk Roland Poellinger (Munich) gives an outline of Judea Pearl's deterministic approach towards causation (workshop "Concrete Causation", 9 July, 2010). The title of the talk is taken from the programmatic section 2.2 of Pearl's paper "Causal Diagrams for Empirical Research" (Biometrika, Vol. 82, No. 4, 669-709, 1995) which is briefly sketched and commented on as an introduction to Pearl's interventionist account of causal analysis. Further topics: The problems of simple causal networks, interventions as variables, Humphreys' paradox, and causal decision making.
42 min

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In his study of causation J. L. Mackie once referred back to David Hume, who listed causation among one of the principles that are TO US THE CEMENT OF THE UNIVERSE and thus OF VAST CONSEQUENCE IN THE…