Poyhonen, Samuli (2016) What, when and how do rational analysis models explain? In: UNSPECIFIED.

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Abstract

Probabilistic modeling is a highly influential method of theorizing in cognitive science. Rational analysis is an account of how probabilistic modeling can be used to construct non-mechanistic but self-standing explanatory models of the mind. In this article, 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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Item Type:	Conference or Workshop Item (UNSPECIFIED)
Creators:	Creators Email ORCID Poyhonen, Samuli samuli.poyhonen@helsinki.fi 0000-0001-6968-5819
Keywords:	cognitive science explanation modeling mechanism rational analysis
Subjects:	Specific Sciences > Cognitive Science General Issues > Explanation
Depositing User:	Dr Samuli Reijula
Date Deposited:	31 Oct 2016 12:57
Last Modified:	31 Oct 2016 12:57
Item ID:	12568
Subjects:	Specific Sciences > Cognitive Science General Issues > Explanation
Date:	1 March 2016
URI:	https://philsci-archive.pitt.edu/id/eprint/12568

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