A tutorial introduction to Bayesian models of cognitive development

被引:147
作者
Perfors, Amy [1 ]
Tenenbaum, Joshua B. [2 ]
Griffiths, Thomas L. [3 ]
Xu, Fei [3 ]
机构
[1] Univ Adelaide, Sch Psychol, Adelaide, SA 5050, Australia
[2] MIT, Dept Brain & Cognit Sci, Cambridge, MA 02139 USA
[3] Univ Calif Berkeley, Dept Psychol, Berkeley, CA 94720 USA
基金
加拿大自然科学与工程研究理事会; 美国国家科学基金会;
关键词
Bayesian models; Cognitive development; INFERENCE; NETWORKS; COMPUTATION; CATEGORIES; INDUCTION; EVOLUTION;
D O I
10.1016/j.cognition.2010.11.015
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
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. (C) 2010 Elsevier B.V. All rights reserved.
引用
收藏
页码:302 / 321
页数:20
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