Graduate studies at Western
Journal of Applied Logic 7 (2):188-205 (2009)
|Abstract||In this paper, I want to substantiate three related claims regarding causal discovery from non-experimental data. Firstly, in scientific practice, the problem of ignorance is ubiquitous, persistent, and far-reaching. Intuitively, the problem of ignorance bears upon the following situation. A set of random variables V is studied but only partly tested for (conditional) independencies; i.e. for some variables A and B it is not known whether they are (conditionally) independent. Secondly, Judea Pearl’s most meritorious and influential algorithm for causal discovery (the IC algorithm) cannot be applied in cases of ignorance. It presupposes that a full list of (conditional) independence relations is on hand and it would lead to unsatisfactory results when applied to partial lists. Finally, the problem of ignorance is successfully treated by means of ALIC, the adaptive logic for causal discovery presented in this paper.|
|Keywords||adaptive logic causal discovery causal Bayes nets|
|Categories||categorize this paper)|
|Through your library||Configure|
Similar books and articles
Alison Gopnik, Clark Glymour, David M. Sobel & Laura E. Schultz, Causal Learning in Children: Causal Maps and Bayes Nets.
Alison Gopnik, Clark Glymour, David M. Sobel, Laura Schulz, Tamar Kushnir & David Danks, A Theory of Causal Learning in Children: Causal Maps and Bayes Nets.
Frederick Eberhardt, Clark Glymour & Richard Scheines, N-1 Experiments Suffice to Determine the Causal Relations Among N Variables.
Peter Spirtes (2005). Graphical Models, Causal Inference, and Econometric Models. Journal of Economic Methodology 12 (1):3-34.
Jiji Zhang (2013). A Lewisian Logic of Causal Counterfactuals. Minds and Machines 23 (1):77-93.
Frederick Eberhardt (2009). Introduction to the Epistemology of Causation. Philosophy Compass 4 (6):913-925.
Daniel Murray Hausman (2005). Causal Relata: Tokens, Types, or Variables? [REVIEW] Erkenntnis 63 (1):33 - 54.
Kevin B. Korb & Erik Nyberg (2006). The Power of Intervention. Minds and Machines 16 (3):289-302.
Added to index2011-11-17
Total downloads3 ( #214,470 of 751,029 )
Recent downloads (6 months)1 ( #62,892 of 751,029 )
How can I increase my downloads?