Boccignone, Giuseppe and Cordeschi, Roberto (2007) Bayesian models and simulations in cognitive science. In: [2007] Models and Simulations 2 (Tilburg, NL).
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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) |
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| Keywords: | Bayesian models, neuroscience models, cognitive science, computer vision |
| Subjects: | Specific Sciences > Biology > Neuroscience Specific Sciences > Computer Science > Artificial Intelligence General Issues > Structure of Theories Specific Sciences > Cognitive Science General Issues > Philosophers of Science |
| Conferences and Volumes: | [2007] Models and Simulations 2 (Tilburg, NL) |
| Depositing User: | Giuseppe Boccignone |
| Date Deposited: | 02 Oct 2007 |
| Last Modified: | 07 Oct 2010 11:15 |
| Item ID: | 3556 |
| URI: | http://philsci-archive.pitt.edu/id/eprint/3556 |
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