COGSCI 2017: 39th Annual Conference of the Cognitive Science Society, (2017)
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| Abstract |
Rational analysis is an influential but contested account of how probabilistic modeling can be used to construct non-mechanistic but self-standing explanatory models of the mind. In this paper, I disentangle and assess several possible explanatory contributions which could be attributed to rational analysis. Although existing models suffer from evidential problems that question their explanatory power, I argue that rational analysis modeling can complement mechanistic theorizing by providing models of environmental affordances.
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| Keywords | rational analysis model mechanism explanation affordance |
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References found in this work BETA
Vision: Variations on Some Berkeleian Themes.Robert Schwartz & David Marr - 1985 - Philosophical Review 94 (3):411.
The Explanatory Force of Dynamical and Mathematical Models in Neuroscience: A Mechanistic Perspective.David Michael Kaplan & Carl F. Craver - 2011 - Philosophy of Science 78 (4):601-627.
Moving Beyond Causes: Optimality Models and Scientific Explanation.Collin Rice - 2015 - Noûs 49 (3):589-615.
Bayesian Fundamentalism or Enlightenment? On the Explanatory Status and Theoretical Contributions of Bayesian Models of Cognition.Matt Jones & Bradley C. Love - 2011 - Behavioral and Brain Sciences 34 (4):169-188.
Abstract Explanations in Science.Christopher Pincock - 2015 - British Journal for the Philosophy of Science 66 (4):857-882.
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