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Uncertain premises and Jeffrey's rule
Behavioral and Brain Sciences 32 (1):97-98 (2009)
Abstract
Oaksford & Chater (O&C) begin in the halfway Bayesian house of assuming that minor premises in conditional inferences are certain. We demonstrate that this assumption is a serious limitation. They additionally suggest that appealing to Jeffrey's rule could make their approach more general. We present evidence that this rule is not limited enough to account for actual probability judgementsMy notes
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Citations of this work
Dynamic inference and everyday conditional reasoning in the new paradigm.Mike Oaksford & Nick Chater - 2013 - Thinking and Reasoning 19 (3-4):346-379.
Rationality in the new paradigm: Strict versus soft Bayesian approaches.Shira Elqayam & Jonathan St B. T. Evans - 2013 - Thinking and Reasoning 19 (3-4):453-470.
Updating: Learning versus supposing.Jiaying Zhao, Vincenzo Crupi, Katya Tentori, Branden Fitelson & Daniel Osherson - 2012 - Cognition 124 (3):373-378.
Categorical induction from uncertain premises: Jeffrey's doesn't completely rule.Constantinos Hadjichristidis, Steven A. Sloman & David E. Over - 2014 - Thinking and Reasoning 20 (4):405-431.
References found in this work
Scientific reasoning: the Bayesian approach.Peter Urbach & Colin Howson - 1993 - Chicago: Open Court. Edited by Peter Urbach.
Bayesian Rationality: The Probabilistic Approach to Human Reasoning.Mike Oaksford & Nick Chater - 2007 - Oxford University Press.
Review of Edward Stein: Without Good Reason: The Rationality Debate in Philosophy and Cognitive Science_; Jonathan St. B. T. Evans and David E. Over: _Rationality and Reasoning. [REVIEW]Jonathan St B. T. Evans, David E. Over & Peter Carruthers - 1998 - British Journal for the Philosophy of Science 49 (1):189-193.
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