Edited by Alexander Gebharter (Marche Polytechnic University)
|Summary||Causal modeling consists in the study, development, and application of causal models. A causal model is a formal device intended to represent a part of the causal structure of the world. It comprises several variables and specifies how (and if) these variables are causally connected to each other. Causal models are used in many disciplines (such as statistics, computer science, philosophy, econometrics, and epidemiology) to study cause-effect relationships, to formulate complex causal hypotheses, and to predict the effects of possible interventions.|
|Introductions||Pearl 2000; Spirtes et al 2000|
- Causal Reasoning, Misc (555)
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David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Ezio Di Nucci
Jack Alan Reynolds
Darrell P. Rowbottom
Aness Kim Webster
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