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Bayesian models and simulations in cognitive science

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)
    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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