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F Griffiths, T. L. , Tenenbaum, J. B. , & Kemp, C. (2012). Bayesian inference. In K. J. Holyoak & R. G. Morrison, (Eds.) Oxford Handbook of Thinking and Reasoning. Oxford: Oxford University Press. (book)
F CD Tenenbaum, J. B. , Kemp, C. , Griffiths, T. L. , & Goodman, N. D. (2011) How to grow a mind: Statistics, structure, and abstraction. Science, 331, 1279-1285. (pdf)
F Griffiths, T. L. , Chater, N. , Kemp, C. , Perfors, A. , & Tenenbaum, J. B. (2010). Probabilistic models of cognition: Exploring representations and inductive biases. Trends in Cognitive Sciences, 14, 357-364. (pdf)
CI NBM Kemp, C. , Tenenbaum, J. B. , Niyogi, S. , & Griffiths, T. L. (2010). A probabilistic model of theory formation. Cognition, 114, 165-196. (pdf)
F Griffiths, T. L. , Kemp, C. , & Tenenbaum, J. B. (2008). Bayesian models of cognition. In Ron Sun (ed.), The Cambridge handbook of computational cognitive modeling . Cambridge University Press. (pdf)
F CI Tenenbaum, J. B. , Griffiths, T. L. , & Kemp, C. (2006). Theory-based Bayesian models of inductive learning and reasoning. Trends in Cognitive Science, 10, 309-318. (pdf)
NBM Kemp, C. , Tenenbaum, J. B. , Griffiths, T. L. , Yamada, T. , & Ueda, N. (2006). Learning systems of concepts with an infinite relational model. Proceedings of the Twenty-First National Conference on Artificial Intelligence (AAAI '06). (pdf) (IRM code)
CI NBM Mansinghka, V. K. , Kemp, C. , Tenenbaum, J. B. , & Griffiths, T. L. (2006). Structured priors for structure learning. Proceedings of the Twenty-Second Conference on Uncertainty in Artificial Intelligence (UAI 2006). (pdf)
S&C Kemp, C. S , Griffiths, T. L. , Stromsten, S. , & Tenenbaum, J. B. (2004). Semi-supervised learning with trees. Advances in Neural Information Processing Systems 16. (pdf)
CI Kemp, C. , Griffiths, T. L. , & Tenenbaum, J. B. (2004). Discovering latent classes in relational data. AI Memo 2004-019 (pdf)