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  A rational model of preference learning and choice prediction by children

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.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-40B0-3 Version Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-40B1-1
Genre: Conference Paper

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 Creators:
Lucas, Christopher1, Author
Griffiths, Thomas1, Author
Xu, Fei1, Author
Fawcett, Christine1, 2, Author           
Affiliations:
1University of California, Berkeley
2Communication Before Language, MPI for Psycholinguistics, Max Planck Society, ou_55208              

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 Abstract: 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.

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Language(s): eng - English
 Dates: 2008
 Publication Status: Issued
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Title: 22nd Annual Conference on Neural Information Processing Systems (NIPS)
Place of Event: British Columbia, Canada
Start-/End Date: 2008-12-08 - 2008-12-11

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Title: Advances in Neural Information Processing Systems
Source Genre: Proceedings
 Creator(s):
Koller, Daphne, Editor
Bengio, Yoshua, Editor
Schuurmans, Dale, Editor
Bottou, Léon, Editor
Culotta, Aron, Editor
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