Boccignone, Giuseppe and Cordeschi, Roberto (2007) Bayesian models and simulations in cognitive science. In: UNSPECIFIED.

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Abstract

Bayesian models can be related to cognitive processes in a variety of ways that can be usefully understood in terms of Marr's distinction among three levels of explanation: computational, algorithmic and implementation. In this note, we discuss how an integrated probabilistic account of the different levels of explanation in cognitive science is resulting, at least for the current research practice, in a sort of unpredicted epistemological shift with respect to Marr's original proposal.

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Item Type:	Conference or Workshop Item (UNSPECIFIED)
Creators:	Creators Email ORCID Boccignone, Giuseppe Cordeschi, Roberto
Keywords:	Bayesian models, neuroscience models, cognitive science, computer vision
Subjects:	Specific Sciences > Neuroscience Specific Sciences > Artificial Intelligence General Issues > Structure of Theories Specific Sciences > Cognitive Science General Issues > Philosophers of Science
Depositing User:	Giuseppe Boccignone
Date Deposited:	02 Oct 2007
Last Modified:	07 Oct 2010 15:15
Item ID:	3556
Subjects:	Specific Sciences > Neuroscience Specific Sciences > Artificial Intelligence General Issues > Structure of Theories Specific Sciences > Cognitive Science General Issues > Philosophers of Science
Date:	2007
URI:	https://philsci-archive.pitt.edu/id/eprint/3556

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