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A Tutorial Introduction to Bayesian Models of Cognitive Development

Authors :
Perfors, Amy
Tenenbaum, Joshua B.
Griffiths, Thomas L.
Source :
Cognition. Sep 2011 120(3):302-321.
Publication Year :
2011

Abstract

We present an introduction to Bayesian inference as it is used in probabilistic models of cognitive development. Our goal is to provide an intuitive and accessible guide to the "what", the "how", and the "why" of the Bayesian approach: what sorts of problems and data the framework is most relevant for, and how and why it may be useful for developmentalists. We emphasize a qualitative understanding of Bayesian inference, but also include information about additional resources for those interested in the cognitive science applications, mathematical foundations, or machine learning details in more depth. In addition, we discuss some important interpretation issues that often arise when evaluating Bayesian models in cognitive science. (Contains 6 figures.)

Details

Language :
English
ISSN :
0010-0277
Volume :
120
Issue :
3
Database :
ERIC
Journal :
Cognition
Publication Type :
Academic Journal
Accession number :
EJ930833
Document Type :
Journal Articles<br />Reports - Evaluative
Full Text :
https://doi.org/10.1016/j.cognition.2010.11.015