David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
Learn more about PhilPapers
Philosophy of Science 80 (5):660-671 (2014)
The manipulationist account of causation provides a framework for assessing causal claims and the experiments used to test them. But its pertinence to the more general class of scientific experiments—particularly those experiments not explicitly designed for testing causal claims—is less clear. I aim to show (1) that the set of causal inferences afforded by any experiment is determined solely on the basis of contrasting case structures that I call “experimental series” and (2) that the conditions that suffice for causal inference obtain quite commonly, even among “ordinary” scientific experiments not explicitly designed for the testing of causal claims
|Keywords||No keywords specified (fix it)|
|Categories||categorize this paper)|
Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
|Through your library||
References found in this work BETA
Jiji Zhang & Peter Spirtes (2008). Detection of Unfaithfulness and Robust Causal Inference. Minds and Machines 18 (2):239-271.
Citations of this work BETA
No citations found.
Similar books and articles
Caren A. Frosch, Teresa McCormack, David A. Lagnado & Patrick Burns (2012). Are Causal Structure and Intervention Judgments Inextricably Linked? A Developmental Study. Cognitive Science 36 (2):261-285.
Frederick Eberhardt, Clark Glymour & Richard Scheines, N-1 Experiments Suffice to Determine the Causal Relations Among N Variables.
Max Kistler (2010). Mechanisms and Downward Causation. Philosophical Psychology 22 (5):595-609.
Robert Sugden (2005). Experiments as Exhibits and Experiments as Tests. Journal of Economic Methodology 12 (2):291-302.
Jonathan A. Fugelsang, Valerie A. Thompson & Kevin N. Dunbar (2006). Examining the Representation of Causal Knowledge. Thinking and Reasoning 12 (1):1 – 30.
Alison Gopnik (2004). Children's Causal Inferences From Indirect Evidence: Backwards Blocking and Bayesian Reasoning in Preschoolers. Cognitive Science 28 (3):303-333.
Daniel Murray Hausman (2005). Causal Relata: Tokens, Types, or Variables? [REVIEW] Erkenntnis 63 (1):33 - 54.
Thomas L. Griffiths, David M. Sobel, Joshua B. Tenenbaum & Alison Gopnik (2011). Bayes and Blickets: Effects of Knowledge on Causal Induction in Children and Adults. Cognitive Science 35 (8):1407-1455.
David W. Green & Rachel McCloy (2003). Reaching a Verdict. Thinking and Reasoning 9 (4):307 – 333.
Marc J. Buehner & Jon May (2002). Knowledge Mediates the Timeframe of Covariation Assessment in Human Causal Induction. Thinking and Reasoning 8 (4):269 – 295.
Brett K. Hayes & Bob Rehder (2012). The Development of Causal Categorization. Cognitive Science 36 (6):1102-1128.
Frederick S. Ellett Jr & David P. Ericson (1983). The Logic of Causal Methods in Social Science. Synthese 57 (1):67 - 82.
Added to index2012-11-05
Total downloads7 ( #149,815 of 1,089,063 )
Recent downloads (6 months)1 ( #69,801 of 1,089,063 )
How can I increase my downloads?