Help Privacy Policy Disclaimer
  Advanced SearchBrowse




Conference Paper

A rational model of preference learning and choice prediction by children


Fawcett,  Christine
Communication Before Language, MPI for Psycholinguistics, Max Planck Society;
University of California, Berkeley;

External Resource
No external resources are shared
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)

(Publisher version), 461KB

Supplementary Material (public)
There is no public supplementary material available

Lucas, C., Griffiths, T., Xu, F., & Fawcett, C. (2008). A rational model of preference learning and choice prediction by children. In D. Koller, Y. Bengio, D. Schuurmans, L. Bottou, & A. Culotta (Eds.), Advances in Neural Information Processing Systems.

Cite as: https://hdl.handle.net/11858/00-001M-0000-0013-40B0-3
Young children demonstrate the ability to make inferences about the preferences of other agents based on their choices. However, there exists no overarching account of what children are doing when they learn about preferences or how they use that knowledge. We use a rational model of preference learning, drawing on ideas from economics and computer science, to explain the behavior of children in several recent experiments. Specifically, we show how a simple econometric model can be extended to capture two- to four-year-olds’ use of statistical information in inferring preferences, and their generalization of these preferences.