Mind and Language 27 (1):55-85 (2012)
|Abstract||Recent work on the interpretation of counterfactual conditionals has paid much attention to the role of causal independencies. One influential idea from the theory of Causal Bayesian Networks is that counterfactual assumptions are made by intervention on variables, leaving all of their causal non-descendants unaffected. But intervention is not applicable across the board. For instance, backtracking counterfactuals, which involve reasoning from effects to causes, cannot proceed by intervention in the strict sense, for otherwise they would be equivalent to their consequents. We discuss these and similar cases, focusing on two factors which play a role in determining whether and which causal parents of the manipulated variable are affected: Speakers' need for an explanation of the hypothesized state of affairs, and differences in the ‘resilience’ of beliefs that are independent of degrees of certainty. We describe the relevant theoretical notions in some detail and provide experimental evidence that these factors do indeed affect speakers' interpretation of counterfactuals|
|Keywords||No keywords specified (fix it)|
|Through your library||Configure|
Similar books and articles
Jiji Zhang (2013). A Lewisian Logic of Causal Counterfactuals. Minds and Machines 23 (1):77-93.
Alice McEleney & Ruth M. J. Byrne (2006). Spontaneous Counterfactual Thoughts and Causal Explanations. Thinking and Reasoning 12 (2):235 – 255.
Jonathan Waskan (2011). Mechanistic Explanation at the Limit. Synthese 183 (3):389-408.
Rebecca Schweder (1999). Causal Explanation and Explanatory Selection. Synthese 120 (1):115-124.
Christoph Hoerl, Teresa McCormack & Sarah R. Beck (eds.) (2011). Understanding Counterfactuals, Understanding Causation. Oxford University Press.
Christoph Hoerl (2011). Introduction: Understanding Counterfactuals and Causation. In Christoph Hoerl, Teresa McCormack & Sarah R. Beck (eds.), Understanding Counterfactuals, Understanding Causation. Oxford University Press.
Scott A. Shalkowski (1992). Supervenience and Causal Necessity. Synthese 90 (1):55-87.
Lance J. Rips & Brian J. Edwards (2013). Inference and Explanation in Counterfactual Reasoning. Cognitive Science 37 (4).
James M. Joyce (2010). Causal Reasoning and Backtracking. Philosophical Studies 147 (1).
Christopher Hitchcock (forthcoming). What is the 'Cause' in Causal Decision Theory? Erkenntnis:1-18.
Peter Menzies, Counterfactual Theories of Causation. Stanford Encyclopedia of Philosophy.
Added to index2012-01-13
Total downloads18 ( #67,622 of 549,359 )
Recent downloads (6 months)1 ( #63,397 of 549,359 )
How can I increase my downloads?