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A rational model of preference learning and choice prediction by children
Chris Lucas · Tom Griffiths · Fei Xu · Christine Fawcett
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-oldsâ use of statistical information in inferring preferences, and their generalization of these preferences.
Author Information
Chris Lucas (UC Berkeley)
Tom Griffiths (Princeton)
Fei Xu (University of California, Berkeley)
Christine Fawcett (Max Planck Institute for Psycholinguistics)
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2008 Spotlight: A rational model of preference learning and choice prediction by children »
Tue. Dec 9th 05:55 -- 05:56 PM Room
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