Papers
2011
Lee, M.D., & Newell, B.R. (submitted). Using hierarchical Bayesian methods to examine the tools of decision-making.
Lee, M.D., Zhang, S., Munro, M., & Steyvers, M. (2011). Psychological models of human and optimal performance on bandit problems. Cognitive Systems Research, 12, 164-174.
Pooley, J.P., Lee, M.D., & Shankle, W.R. (submitted). Modeling multitrial free recall with unknown rehearsal times.
Pooley, J. P., Lee, M. D., & Shankle, W. R. (2011). Understanding Alzheimer’s using memory models and hierarchical Bayesian analysis. Journal of Mathematical Psychology, 55, 47-56.
2010
Hemmer, P., Shi, J., & Steyvers, M. (submitted). The influence of prior knowledge on recall for height.
Hemmer, P., Steyvers, M., & Miller, B. (2010). The wisdom of crowds with informative priors. In R. Catrambone, & S. Ohlsson (Eds.), Proceedings of the 32nd Annual Conference of the Cognitive Science Society. Austin, TX: Cognitive Science Society.
Lee, M.D., & Shi, J. (2010). The accuracy of small-group estimation and the wisdom of crowds. In R. Catrambone, & S. Ohlsson (Eds.), Proceedings of the 32nd Annual Conference of the Cognitive Science Society, pp. 1124-1129. Austin, TX: Cognitive Science Society.
Lee, M.D., & Wetzels, R. (2010). Individual differences in attention during category learning. In R. Catrambone, & S. Ohlsson (Eds.), Proceedings of the 32nd Annual Conference of the Cognitive Science Society, pp. 387-392. Austin, TX: Cognitive Science Society.
Lee, M.D., Zhang, S., & Shi, J. (in press). The wisdom of the crowd playing the Price is Right. [technical note is here]. Memory & Cognition.
Yi, S.K., Steyvers, M., Lee, M.D, & Dry, M.D. (submitted). Wisdom of the crowds in the minimum spanning tree problems. In R. Catrambone, & S. Ohlsson (Eds.), Proceedings of the 32nd Annual Conference of the Cognitive Science Society, pp. 1840-1845. Austin, TX: Cognitive Science Society.
Zeigenfuse, M.D., & Lee, M.D. (2010). A general latent assignment approach for modeling psychological contaminants. Journal of Mathematical Psychology.
Zeigenfuse, M.D., & Lee, M.D. (2010). Finding the features that represent stimuli. Acta Psychologica, 133. 283-295.
Zeigenfuse, M.D., & Lee, M.D. (2010). Heuristics for choosing features to represent stimuli. In R. Catrambone, & S. Ohlsson (Eds.), Proceedings of the 32nd Annual Conference of the Cognitive Science Society, pp. 1565-1570. Austin, TX: Cognitive Science Society.
Zhang, S., & Lee, M.D., (2010). Cognitive models and the wisdom of crowds: A case study using the bandit problem. In R. Catrambone, & S. Ohlsson (Eds.), Proceedings of the 32nd Annual Conference of the Cognitive Science Society, pp. 1118-1123. Austin, TX: Cognitive Science Society.
Zhang, S., & Lee, M.D. (2010). Optimal experimental design for a class of bandit problems. Journal of Mathematical Psychology, 54, 499-508.
2009
Hemmer, P. & Steyvers, M. (2009). Integrating episodic and semantic information in memory for natural scenes. In N.A. Taatgen & H. van Rijn (Eds.), Proceedings of the 31th Annual Conference of the Cognitive Science Society (pp. 1557-1562). Austin, TX: Cognitive Science Society.
Hemmer, P., Steyvers, M. (2009). Integrating episodic memories and prior knowledge at multiple levels of abstraction. Psychonomic Bulletin & Review, 16(1), 80-87.
Hemmer, P. & Steyvers, M. (2009). A Bayesian account of reconstructive memory. Topics in Cognitive Science, 1, 189-202.
Iverson, G.J., Lee, M.D., Zhang, S. & Wagenmakers, E-J. (2009). Prep: An agony in five fits. Journal of Mathematical Psychology, Volume 53, Issue 4, 195-202.
Lee, M.D., Zhang, S., Munro, M. & Steyvers, M. (2009). Using Heuristic Models to Understand Human and Optimal Decision-Making on Bandit Problems. In A. Howes, D. Peebles, R. Cooper (Eds.), 9th International Conference on Cognitive Modeling – ICCM2009, Manchester, UK.
Miller, B., Hemmer, P. Steyvers, M. & Lee, M.D. (2009) The wisdom of crowds in rank ordering tasks. Proceedings of the 9th International Conference of Cognitive Modeling.
Zeigenfuse, M.D., & Lee, M.D. (2009). Bayesian nonparametric modeling of individual differences: A case study using decision-making on bandit problems. In N. Taatgen, H. van Rijn, J. Nerbonne, & L. Shonmaker (Eds.). Proceedings of the 31st Annual Conference of the Cognitive Science Society, pp. 1412-1415. Austin, TX: Cognitive Science Society.
Zhang, S., Lee, M.D. & Munro, M. (2009). Human and Optimal Exploration and Exploitation in Bandit Problems. In A. Howes, D. Peebles, R. Cooper (Eds.), 9th International Conference on Cognitive Modeling – ICCM2009, Manchester, UK.
2008
Hemmer, P. & Steyvers, M. (2008). A Bayesian account of reconstructive memory. In V. Sloutsky, B. Love, and K. McRae (Eds.) Proceedings of the 30th Annual Conference of the Cognitive Science Society. Mahwah, NJ: Lawrence Erlbaum
Rubin, T.N., Lee, M.D., & Chubb, C.F. (2008). Hierarchical Bayesian modeling of individual differences in texture discrimination. In V. Sloutsky, B. Love, & K. McRae (Eds.), Proceedings of the 30th Annual Conference of the Cognitive Science Society, pp. 1404-1409 Austin, TX: Cognitive Science Society.
Zeigenfuse, M.D., & Lee, M.D. (2008). Finding feature representations of stimuli: Combining feature generation and similarity judgment tasks. In V. Sloutsky, B. Love, & K. McRae (Eds.), Proceedings of the 30th Annual Conference of the Cognitive Science Society, pp. 1825-1830. Austin, TX: Cognitive Science Society.
