TY - GEN

T1 - Modeling human function learning with Gaussian processes

AU - Griffiths, Thomas L.

AU - Lucas, Christopher G.

AU - Williams, Joseph J.

AU - Kalish, Michael L.

PY - 2009/12/1

Y1 - 2009/12/1

N2 - Accounts of how people learn functional relationships between continuous variables have tended to focus on two possibilities: that people are estimating explicit functions, or that they are performing associative learning supported by similarity. We provide a rational analysis of function learning, drawing on work on regression in machine learning and statistics. Using the equivalence of Bayesian linear regression and Gaussian processes, we show that learning explicit rules and using similarity can be seen as two views of one solution to this problem. We use this insight to define a Gaussian process model of human function learning that combines the strengths of both approaches.

AB - Accounts of how people learn functional relationships between continuous variables have tended to focus on two possibilities: that people are estimating explicit functions, or that they are performing associative learning supported by similarity. We provide a rational analysis of function learning, drawing on work on regression in machine learning and statistics. Using the equivalence of Bayesian linear regression and Gaussian processes, we show that learning explicit rules and using similarity can be seen as two views of one solution to this problem. We use this insight to define a Gaussian process model of human function learning that combines the strengths of both approaches.

UR - http://www.scopus.com/inward/record.url?scp=84863342363&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84863342363&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:84863342363

SN - 9781605609492

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

SP - 553

EP - 560

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 -