Postdoctoral Researcher

Psychology Office: 340S Baker Hall
Psychology Phone: 412-268-6474
Email: cglucas@andrew.cmu.edu

Research Interests:

Computational models and empirical studies of inductive learning, with emphasis on cognitive development; causal inference; transfer learning and generalization; and Bayesian models.

 

Publications:

• Lucas, C. G., Sterling, D. J., Kemp, C. (2012). Superspace extrapolation reveals inductive biases in function learning. In N. Miyake, D. Peebles, & R. P. Cooper (Eds.), Proceedings of the 34th Annual Conference of the Cognitive Science Society (pp. 713–718). Austin, TX: Cognitive Science Society.
  


• Lucas, C. G., Kemp, C. (2012). A unified theory of counterfactual reasoning. In N. Miyake, D. Peebles, & R. P. Cooper (Eds.), Proceedings of the 34th Annual Conference of the Cognitive Science Society (pp. 707–712). Austin, TX: Cognitive Science Society.  


• Bes, B., Sloman, S., Lucas, C. G., & Raufaste, E. (2012). Non-Bayesian Inference: Causal Structure Trumps Correlation. Cognitive Science , 36: 1178-1203  


• Jern, A., Lucas, C. G., Kemp, C. (2011). Evaluating the inverse decision-making approach to preference learning. In J. Shawe-Taylor, R. S. Zemel, P. Bartlett, F. C. N Pereira, & K. Q. Weinberger (Eds.), Advances in Neural Information Processing Systems 24 (pp. 2276–2284). [pdf]  


• Waisman, A. S., Lucas, C. G., Griffiths, T. L. & Jacobs, L.F. (2011). A Bayesian model of navigation in squirrels. In L. Carlson, C. Hlscher, & T. Shipley (Eds.), Proceedings of the 33rd Annual Conference of the Cognitive Science Society (pp. 1274–1279). Austin, TX: Cognitive Science Society. [pdf]  


• Lucas, C. G., & Griffiths, T. L. (2010). Learning the form of causal relationships using hierarchical Bayesian models. Cognitive Science , 34: 113–147 [pdf]  


• Kushnir, T., Gopnik, A., Lucas, C. G., & Schulz, L. E. (2010). Inferring hidden causal structure. Cognitive Science , 34: 148–160  


• Lucas, C. G., Gopnik, A., & Griffiths, T. L. (2010). Developmental differences in learning the forms of causal relationships. In S. Ohlsson & R. Catrambone (Eds.), Proceedings of the 32nd Annual Conference of the Cognitive Science Society (pp. 2852–2857). Austin, TX: Cognitive Science Society. [pdf]  


• Lucas, C. G., Griffiths, T. L., Xu, F., & Fawcett, C. (2009). A rational model of preference learning and choice prediction by children. Advances in Neural Information Processing Systems 21. [pdf]  


• Griffiths, T. L., Lucas, C. G., Williams, J. J., & Kalish, M. L. (2009). Modeling human function learning with Gaussian processes. Advances in Neural Information Processing Systems 21. [pdf]

 

 

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