creators_name: Boccignone, Giuseppe
creators_name: Cordeschi, Roberto
type: conference_item
datestamp: 2007-10-02
lastmod: 2010-10-07 15:15:38
metadata_visibility: show
title: Bayesian models and simulations in cognitive science
subjects: neuroscience
subjects: computer-science-artificial-intelligence
subjects: structure-of-theories
subjects: cognitive-science
subjects: philosophers-of-science
full_text_status: public
keywords: Bayesian models, neuroscience models, cognitive science, computer vision
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.
date: 2007
date_type: published
citation: Boccignone, Giuseppe and Cordeschi, Roberto (2007) Bayesian models and simulations in cognitive science. In: [2007] Models and Simulations 2 (Tilburg, NL) <http://philsci-archive.pitt.edu/view/confandvol/2007005.html>.
document_url: http://philsci-archive.pitt.edu/3556/1/BoccigCordMS2.pdf