What is right with 'bayes net methods' and what is wrong with 'hunting causes and using them'?
British Journal for the Philosophy of Science 61 (1):161-211 (2010)
Abstract
Nancy Cartwright's recent criticisms of efforts and methods to obtain causal information from sample data using automated search are considered. In addition to reviewing that effort, I argue that almost all of her criticisms are false and rest on misreading, overgeneralization, or neglect of the relevant literatureAuthor's Profile
DOI
10.1093/bjps/axp039
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Citations of this work
Experimental Philosophy and Causal Attribution.Jonathan Livengood & David Rose - 2016 - In Justin Sytsma & Wesley Buckwalter (eds.), A Companion to Experimental Philosophy. Blackwell.
Cognitive Architecture, Holistic Inference and Bayesian Networks.Timothy J. Fuller - 2019 - Minds and Machines 29 (3):373-395.
Systems without a graphical causal representation.Daniel M. Hausman, Reuben Stern & Naftali Weinberger - 2014 - Synthese 191 (8):1925-1930.
Identifying intervention variables.Michael Baumgartner & Isabelle Drouet - 2013 - European Journal for Philosophy of Science 3 (2):183-205.
Modus Tollens probabilized: deductive and Inductive Methods in medical diagnosis.Barbara Osimani - 2009 - MEDIC 17 (1/3):43-59.
References found in this work
Making Things Happen: A Theory of Causal Explanation.James Woodward - 2003 - Oxford University Press.
Nature's Capacities and Their Measurement.Nancy Cartwright - 1989 - Oxford, England: Oxford University Press.
Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference.Judea Pearl - 1988 - Morgan Kaufmann.
The Dappled World: A Study of the Boundaries of Science.Nancy Cartwright - 1999 - Philosophy 75 (294):613-616.