A tutorial introduction to Bayesian models of cognitive development.
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.
School of Psychology, Level 4, Hughes Building, University of Adelaide, Adelaide, SA 5050, Australia. amy.perfors@adelaide.edu.au
Amy
A
Perfors
Joshua B
JB
Tenenbaum
Thomas L
TL
Griffiths
Fei
F
Xu
D000465:Algorithms; D001499:Bayes Theorem; D002657:Child Development / Q000502:physiology*; D002675:Child, Preschool; D003071:Cognition / Q000502:physiology*; D003627:Data Interpretation, Statistical; D005793:Generalization, Psychological; D006801:Humans; D007223:Infant; D007804:Language Development; D015233:Models, Statistical