David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
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Mind and Language 26 (1):21-52 (2011)
How do people understand questions about cause and prevent? Some theories propose that people affirm that A causes B if A's occurrence makes a difference to B's occurrence in one way or another. Other theories propose that A causes B if some quantity or symbol gets passed in some way from A to B. The aim of our studies is to compare these theories' ability to explain judgements of causation and prevention. We describe six experiments that compare judgements for causal paths that involve a mechanism, i.e. a continuous process of transmission or exchange from cause to effect, against paths that involve no mechanism yet a change in the cause nevertheless brings about a change in the effect. Our results show that people prefer to attribute cause when a mechanism links cause to effect. In contrast, prevention is sensitive both to the presence of an interruption to a causal mechanism and to a change in the outcome in the absence of a mechanism. In this sense, ‘prevent’ means something different than ‘cause not'. We discuss the implications of our results for existing theories of causation
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References found in this work BETA
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Citations of this work BETA
David Rose & David Danks (2012). Causation: Empirical Trends and Future Directions. Philosophy Compass 7 (9):643-653.
James Woodward (2012). Causation: Interactions Between Philosophical Theories and Psychological Research. Philosophy of Science 79 (5):961-972.
Jonathan Waskan (2011). Mechanistic Explanation at the Limit. Synthese 183 (3):389-408.
Samuel G. B. Johnson & Woo‐Kyoung Ahn (2015). Causal Networks or Causal Islands? The Representation of Mechanisms and the Transitivity of Causal Judgment. Cognitive Science 39 (6).
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