BCS 532: Lecture Schedule

Only students who are enrolled in the course may access the readings online. You must be logged into Blackboard to download the course readings.

Class 1: Chater, N., Oaksford, M., Hahn, U., & Heit, E. (2010). Bayesian models of cognition. Wiley Interdisciplinary Reviews: Cognitive Science, in press.; Jacobs, R. A. & Kruschke, J. (2010). Bayesian learning theory applied to human cognition. Wiley Interdisciplinary Reviews: Cognitive Science, in press.
Class 2: Lee, M. D. & Wagenmakers, E.-J. (2009; draft version). A course in Bayesian graphical modeling for cognitive science. [Chapters 1-4]
Class 3: Lee, M. D. & Wagenmakers, E.-J. (2009; draft version). A course in Bayesian graphical modeling for cognitive science. [Chapters 5-7]
Class 4: Lee, M. D. & Wagenmakers, E.-J. (2009; draft version). A course in Bayesian graphical modeling for cognitive science. [Chapters 8-10]
Class 5: Lee, M. D. & Wagenmakers, E.-J. (2009; draft version). A course in Bayesian graphical modeling for cognitive science. [Chapters 11-13]
Class 6: Kruschke, J. K. (1992). ALCOVE: An exemplar-based connectionist model of category learning. Psychological Review, 99, 22-44.; Nosofsky, R. M. & Palmeri, T. J. (1997). An exemplar-based random walk model of speeded classification. Psychological Review, 104, 266-300.
Class 7: Tenenbaum, J. B. & Griffiths, T. L. (2001). Generalization, similarity, and Bayesian inference. Behavioral and Brain Sciences, 24, 629-640.; Xu, F. & Tenenbaum, J. B. (2007). Word learning as Bayesian inference. Psychological Review, 114, 245-272.
Class 8: Griffiths, T. L., Steyvers, M., & Tenenbaum, J. B. (2007). Topics in semantic representation. Psychological Review, 114, 211-244.
Class 9: Feldman, N. H., Griffiths, T. L., & Morgan, J. L. (2009). The influence of categories on perception: Explaining the perceptual magnet effect as optimal statistical inference. Psychological Review, 116, 752-782.; Hemmer, P. & Steyvers, M. (2009). A Bayesian account of reconstructive memory. Topics in Cognitive Science, 1, 189-202.
Class 10: Sanborn, A. N., Griffiths, T. L., & Navarro, D. J. (2010). Rational approximations to rational models: Alternative algorithms for category learning. Psychological Review, in press.
Class 11: Goodman, N. D., Tenenbaum, J. B., Feldman, J., & Griffiths, T. L. (2008). A rational analysis of rule-based concept learning. Cognitive Science, 32, 108-154.
Class 12: Nelson, J. D. (2005). Finding useful questions: On Bayesian diagnosticity, probability, impact, and information gain. Psychological Review, 112, 979-999.

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