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    Psychology

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    • Adam Sanborn »
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    University of Warwick

    Publications

    In press

    Sanborn, A. N. & Silva, R. (in press). Constraining bridges between levels of analysis: A computational justification for Locally Bayesian Learning. Journal of Mathematical Psychology. (manuscript pdf)


    2013

    Sanborn, A. N., Mansinghka, V. K., & Griffiths, T. L. (2013). Reconciling intuitive physics and Newtonian mechanics for colliding objects. Psychological Review, 120, 411-437. (doi,manuscript pdf)


    2012

    Blundell, C., Sanborn, A. N., & Griffiths, T. L. (2012). Look-ahead Monte Carlo with People. Proceedings of the 34th Annual Conference of the Cognitive Science Society. (pdf)

    Hsu, A. S., Martin, J. B., Sanborn, A. N., & Griffiths, T. L. (2012). Identifying representations of categories of discrete items using Markov chain Monte Carlo with People. Proceedings of the 34th Annual Conference of the Cognitive Science Society. (pdf)

    Griffiths, T. L., Vul, E., & Sanborn, A. N. (2012). Bridging levels of analysis for probabilistic models of cognition. Current Directions in Psychological Science, 21, 263-268. (doi)

    Martin, J. B., Griffiths, T. L., & Sanborn, A. N. (2012). Testing the efficiency of Markov Chain Monte Carlo with People using facial affect categories. Cognitive Science, 36, 150-162. (doi,manuscript pdf)

    Tang, N. K. Y., Goodchild, C. E., Sanborn, A. N., Howard, J., & Salkovskis, P. M. (2012). Deciphering the temporal link between pain and sleep in a hetergeneous chronic pain patient sample: A multilevel daily process study. Sleep, 35, 675-687. (doi)


    2011

    Sanborn, A. N. & Dayan, P. (2011). Optimal decisions for contrast discrimination. Journal of Vision, 11(14):9, 1-13. (pdf)

    Griffiths, T. L., Sanborn, A. N., Canini, K. R., Navarro, D. J., & Tenenbaum, J. B. (2011). Nonparametric Bayesian models of categorization. In Pothos, E & Wills A. (Eds) Formal Approaches in Categorization.


    2010

    Sanborn, A. N., Griffiths, T. L., & Navarro, D. J. (2010). Rational approximations to rational models: Alternative algorithms for category learning. Psychological Review, 117, 1144-1167. (doi,manuscript pdf)

    Shi, L., Griffiths, T. L., Feldman, N. H., & Sanborn, A. N. (2010). Exemplar models as a mechanism for performing Bayesian inference. Psychonomic Bulletin & Review, 17, 443-464. (doi)

    Sanborn, A. N., Griffiths, T. L., & Shiffrin, R. M. (2010). Uncovering mental representations with Markov chain Monte Carlo. Cognitive Psychology, 60, 63-106. (doi,manuscript_pdf)


    2009

    Heller, K., Sanborn, A. N., & Chater, N. (2009). Hierarchical learning of dimensional biases in human categorization. In J. Lafferty & C. Williams (Eds) Advances in Neural Information Processing Systems 22. Cambridge, MA: MIT Press. (pdf)

    Sanborn, A. N. & Silva, R. (2009). Belief propagation and locally Bayesian learning. Proceedings of the 31st Annual Conference of the Cognitive Science Society. (pdf)

    Sanborn, A. N., Mansinghka, V. K., & Griffiths, T. L. (2009). A Bayesian framework for modeling intuitive dynamics. Proceedings of the 31st Annual Conference of the Cognitive Science Society. (pdf)


    2008

    Cohen, A. L., Sanborn, A. N., & Shiffrin, R. M. (2008). Model evaluation using grouped or individual data. Psychonomic Bulletin & Review, 15, 692-712. (doi)

    Sanborn, A. N. & Griffiths T. L. (2008). Markov chain Monte Carlo with people. In J. C. Platt, D. Koller, Y. Singer, & S. Roweis (Eds) Advances in Neural Information Processing Systems 20, 1265-1272. Cambridge, MA: MIT Press. (pdf)

    Griffiths, T. L., Sanborn, A. N., Canini, K. R., & Navarro, D. J. (2008). Categorization as nonparametric Bayesian density estimation. In M. Oaksford and N. Chater (Eds.). The Probabilistic Mind: Prospects for Rational Models of Cognition, 303-328. Oxford: Oxford University Press. (pdf)


    2007 and earlier

    Griffiths, T. L., Canini, K. R., Sanborn, A. N., & Navarro, D. (2007). Unifying rational models of categorization via the hierarchical Dirichlet process. In R. Sun & N. Miyake (Eds), Proceedings of the 29th Annual Conference of the Cognitive Science Society. (pdf)

    Sanborn, A. N., Griffiths, T. L., & Navarro, D. (2006). A more rational model of categorization. In R. Sun & N. Miyake (Eds), Proceedings of the 28th Annual Conference of the Cognitive Science Society. (pdf)

    Sanborn, A., Malmberg, K., & Shiffrin, R. (2004). High-level effects of masking on perceptual identification.Vision Research, 44, 1427-1436. (doi)

    Morrow, D.G., Menard, W.E., Ridolfo, H.E., Sanborn, A., Stine-Morrow, E.A.L., Magnor, C., Herman, L., Teller, T. & Bryant, D. (2003). Environmental support promotes expertise-based mitigation of age differences in pilot communication tasks. Psychology and Aging, 18, 268-284. (doi)

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    Page contact: Adam Sanborn Last revised: Tue 7 May 2013
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