David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Ezio Di Nucci
Jack Alan Reynolds
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Journal of Logic, Language and Information 10 (3):273-317 (2001)
We review the various explanations that have been offered toaccount for subjects'' behaviour in Wason ''s famous selection task. Weargue that one element that is lacking is a good understanding ofsubjects'' semantics for the key expressions involved, and anunderstanding of how this semantics is affected by the demands the taskputs upon the subject''s cognitive system. We make novel proposals inthese terms for explaining the major content effects of deonticmaterials. Throughout we illustrate with excerpts from tutorialdialogues which motivate the kinds of analysis proposed. Our long termgoal is an integration of the various insights about conditionalreasoning on offer from different cognitive science methodologies. Thepurpose of this paper is to try to draw the attention of logicians andsemanticists to this area, since we believe that empirical investigationof the cognitive processes involved could benefit from semanticanalyses.
|Keywords||Bayesian probability conditionals evolutionary psychology semantics|
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Citations of this work BETA
Marcin Miłkowski (2016). Explanatory Completeness and Idealization in Large Brain Simulations: A Mechanistic Perspective. Synthese 193 (5):1457-1478.
Keith Stenning & Michiel Lambalgen (2005). Semantic Interpretation as Computation in Nonmonotonic Logic: The Real Meaning of the Suppression Task. Cognitive Science 29 (6):919-960.
Keith Stenning & Michiel Lambalgen (2004). A Little Logic Goes a Long Way: Basing Experiment on Semantic Theory in the Cognitive Science of Conditional Reasoning. Cognitive Science 28 (4):481-529.
Sujata Ghosh, Ben Meijering & Rineke Verbrugge (2014). Strategic Reasoning: Building Cognitive Models From Logical Formulas. Journal of Logic, Language and Information 23 (1):1-29.
Rineke Verbrugge (2009). Logic and Social Cognition. Journal of Philosophical Logic 38 (6):649 - 680.
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