Theory-based Bayesian models of inductive learning and reasoning (2006)

by Joshua B. Tenenbaum , Charles Kemp , Patrick Shafto
Venue:Trends in Cognitive Sciences
Citations:83 - 19 self

Active Bibliography

29 Structured statistical models of inductive reasoning – Charles Kemp, Joshua B. Tenenbaum
Running head: STRUCTURED STATISTICAL MODELS Structured statistical models of inductive reasoning – Charles Kemp, Joshua B. Tenenbaum
21 A Bayesian Framework for Concept Learning – Joshua B. Tenenbaum - 1999
3 A taxonomy of inductive problems – Charles Kemp, Alan Jern - 2009
244 Respects for Similarity – Douglas L. Medin , Robert L. Goldstone, Dedre Gentner - 1993
37 Attention in learning – John K. Kruschke - 2003
7 Categorization as nonparametric Bayesian density estimation – Thomas L. Griffiths, Adam N. Sanborn, Kevin R. Canini, Daniel J. Navarro
20 Rational approximations to rational models: Alternative algorithms for category learning – Adam N. Sanborn, Thomas L. Griffiths, Daniel J. Navarro, Adam Sanborn
1 A tutorial introduction to Bayesian models of cognitive development – Amy Perfors, Joshua B. Tenenbaum, Thomas L. Griffiths, Fei Xu
23 Bayesian models of cognition – Thomas L. Griffiths, Charles Kemp, Joshua B. Tenenbaum
33 Theory-based causal induction – Thomas L. Griffiths, Joshua B. Tenenbaum - 2003
25 Language Evolution by Iterated Learning With Bayesian Agents – Thomas L. Griffiths , Michael L. Kalish - 2007
21 Knowledge and Concept Learning – Evan Heit - 1997
321 The empirical case for two systems of reasoning – Steven A. Sloman - 1996
Exemplar models as a mechanism for . . . – Lei Shi, Thomas L. Griffiths, Naomi H. Feldman, Adam N. Sanborn
20 Inference using categories – Takashi Yamauchi, Arthur B. Markman - 2000
44 Causal Status as a Determinant of Feature Centrality – Woo-kyoung Ahn, Nancy S. Kim, Mary E. Lassaline, Martin dennis - 2000
72 Similarity and the Development of Rules – Dedre Gentner , Jose Medina - 1998
34 Properties of inductive reasoning – Evan Heit - 2000