PSA2016: The 25th Biennial Meeting of the Philosophy of Science Association

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What, when and how do rational analysis models explain?

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.

Author Information:

Samuli Poyhonen    
Social and Moral Philosophy
University of Helsinki


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