A tutorial introduction to Bayesian models of cognitive development |
| |
| Authors: | Perfors Amy Tenenbaum Joshua B Griffiths Thomas L Xu Fei |
| |
| Affiliation: | aSchool of Psychology, Level 4, Hughes Building, University of Adelaide, Adelaide, SA 5050, Australia;bDepartment of Brain & Cognitive Sciences, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139, United States;cDepartment of Psychology, 3210 Tolman Hall, University of California, Berkeley, Berkeley, CA 94720-1650, United States |
| |
| 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. |
| |
| Keywords: | Bayesian models Cognitive development |
| 本文献已被 ScienceDirect PubMed 等数据库收录！ |
|
