A rational model of preference learning and choice prediction by children

Christopher G. Lucas; Thomas L. Griffiths; Fei Xu; Christine Fawcett

A rational model of preference learning and choice prediction by children

Christopher G. Lucas, Thomas L. Griffiths, Fei Xu, Christine Fawcett

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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.

Original language	English (US)
Title of host publication	Advances in Neural Information Processing Systems 21 - Proceedings of the 2008 Conference
Pages	985-992
Number of pages	8
State	Published - Dec 1 2009
Externally published	Yes
Event	22nd Annual Conference on Neural Information Processing Systems, NIPS 2008 - Vancouver, BC, Canada Duration: Dec 8 2008 → Dec 11 2008

Publication series

Name	Advances in Neural Information Processing Systems 21 - Proceedings of the 2008 Conference

Other

Other	22nd Annual Conference on Neural Information Processing Systems, NIPS 2008
Country/Territory	Canada
City	Vancouver, BC
Period	12/8/08 → 12/11/08

All Science Journal Classification (ASJC) codes

Information Systems

Cite this

@inproceedings{44634966bc514d8e88f28cd8fd8227de,

title = "A rational model of preference learning and choice prediction by children",

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.",

author = "Lucas, {Christopher G.} and Griffiths, {Thomas L.} and Fei Xu and Christine Fawcett",

year = "2009",

month = dec,

day = "1",

language = "English (US)",

isbn = "9781605609492",

series = "Advances in Neural Information Processing Systems 21 - Proceedings of the 2008 Conference",

pages = "985--992",

booktitle = "Advances in Neural Information Processing Systems 21 - Proceedings of the 2008 Conference",

note = "22nd Annual Conference on Neural Information Processing Systems, NIPS 2008 ; Conference date: 08-12-2008 Through 11-12-2008",

}

Lucas, CG, Griffiths, TL, Xu, F & Fawcett, C 2009, A rational model of preference learning and choice prediction by children. in Advances in Neural Information Processing Systems 21 - Proceedings of the 2008 Conference. Advances in Neural Information Processing Systems 21 - Proceedings of the 2008 Conference, pp. 985-992, 22nd Annual Conference on Neural Information Processing Systems, NIPS 2008, Vancouver, BC, Canada, 12/8/08.

A rational model of preference learning and choice prediction by children. / Lucas, Christopher G.; Griffiths, Thomas L.; Xu, Fei et al.
Advances in Neural Information Processing Systems 21 - Proceedings of the 2008 Conference. 2009. p. 985-992 (Advances in Neural Information Processing Systems 21 - Proceedings of the 2008 Conference).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - A rational model of preference learning and choice prediction by children

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AU - Griffiths, Thomas L.

AU - Xu, Fei

AU - Fawcett, Christine

PY - 2009/12/1

Y1 - 2009/12/1

N2 - 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.

AB - 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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T3 - Advances in Neural Information Processing Systems 21 - Proceedings of the 2008 Conference

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BT - Advances in Neural Information Processing Systems 21 - Proceedings of the 2008 Conference

T2 - 22nd Annual Conference on Neural Information Processing Systems, NIPS 2008

Y2 - 8 December 2008 through 11 December 2008

ER -

A rational model of preference learning and choice prediction by children

Abstract

Publication series

Other

All Science Journal Classification (ASJC) codes

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