Charles Kemp

I am an Associate Professor at CMU's Department of Psychology.

Email:

Phone: (412) 268 4680 (office)

Mail: Department of Psychology
          Carnegie Mellon University
          5000 Forbes Ave
          Pittsburgh PA 15213

Research Interests

I work on computational models of learning and reasoning. Humans regularly make inferences that go beyond the data they have observed, and I attempt to characterize the knowledge that supports these inferences and to explain how this knowledge might be acquired. I am particularly interested in high-level cognition, and have developed models of categorization, property induction, word-learning, causal reasoning, similarity, and relational learning.

Selected Papers

Regier, T., Kemp C., & Kay, P. (in press). Word meanings across languages support efficient communication. In B. MacWhinney & W. O'Grady (eds.), The handbook of language emergence. Wiley.

Jern, A., Chang, K. K. & Kemp C. (2014). Belief polarization is not always irrational. Psychological Review. 121(2), 206-224.

Kemp, C. & Jern, A. (2014). A taxonomy of inductive problems. Psychonomic Bulletin & Review. 21(1), 23-46.

Jern, A. & Kemp, C. (2013). A probabilistic account of exemplar and category generation. Cognitive Psychology. 66(1), 85-125.

Kemp, C. (2012). Exploring the conceptual universe. Psychological Review. 119(4), 685-722. Code and data sets.

Kemp, C., & Regier, T. (2012). Kinship categories across languages reflect general communicative principles. Science. 336(6084), 1049-1054.   Supplementary material Commentary by S. C. Levinson.  Science podcast Project page FAQ Video

Kemp, C., Shafto, P., & Tenenbaum, J. B. (2012) An integrated account of generalization across objects and features. Cognitive Psychology. 64 (1-2), 35-73.

Tenenbaum, J. B., Kemp, C., Griffiths, T. L. & Goodman, N. D. (2011). How to grow a mind: statistics, structure and abstraction. Science. 331(6022), 1279-1285.

Kemp, C., Tenenbaum, J. B., Niyogi, S. & Griffiths, T. L. (2010) A probabilistic model of theory formation. Cognition. 114(2), 165-196. Code and data sets.

Kemp, C., & Tenenbaum, J. B. (2009). Structured statistical models of inductive reasoning. Psychological Review. 116(1), 20-58. Code and data sets.

Kemp, C., & Tenenbaum, J. B. (2008). The discovery of structural form. Proceedings of the National Academy of Sciences. 105(31), 10687-10692.   Supporting information Commentary by K. J. Holyoak.  Code and data sets.

Kemp, C., Perfors, A. & Tenenbaum, J. B. (2007). Learning overhypotheses with hierarchical Bayesian models. Developmental Science, 10(3), 307-321.

Other Papers

2014

Lucas, C. G. & Holstein, K. and Kemp, C. (2014). Discovering hidden causes using statistical evidence. Proceedings of the 36th Annual Conference of the Cognitive Science Society.

Jern, A. & Kemp, C. (2014). Reasoning about social choices and social relationships. Proceedings of the 36th Annual Conference of the Cognitive Science Society.

2013

Carroll, C. D. & Kemp, C. (2013). Hypothesis space checking in intuitive reasoning. Proceedings of the 35th Annual Conference of the Cognitive Science Society.

2012

Lucas, C. G., Sterling, D. & Kemp, C. (2012). Superspace extrapolation reveals inductive biases in function learning. Proceedings of the 34th Annual Conference of the Cognitive Science Society.

Lucas, C. G. & Kemp, C. (2012). A unified theory of counterfactual reasoning. Proceedings of the 34th Annual Conference of the Cognitive Science Society.

Carroll, C. D. & Kemp, C. (2012). Object discovery and inverse physical reasoning. Proceedings of the 34th Annual Conference of the Cognitive Science Society.

Deverett, B. & Kemp, C. (2012). Learning deterministic causal networks from observational data. Proceedings of the 34th Annual Conference of the Cognitive Science Society.

2011

Jern, A., Lucas, C. G. & Kemp, C. (2011). Evaluating the inverse decision-making approach to preference learning. Advances in Neural Information Processing Systems 24.

Kemp, C. (2011). Inductive reasoning about chimeric creatures. Advances in Neural Information Processing Systems 24. Supporting material

Shafto, P., Kemp, C., Mansinghka, V., & Tenenbaum, J. B. (2011). A probabilistic model of cross-categorization. Cognition. 120(1), 1-25.

Kemp, C., Han, F. & Jern, A. (2011). Concept learning and modal reasoning. Proceedings of the 33rd Annual Conference of the Cognitive Science Society.

Jern, A. & Kemp, C. (2011). Decision factors that support preference learning. Proceedings of the 33rd Annual Conference of the Cognitive Science Society.

Jern, A. & Kemp, C. (2011). Capturing mental state reasoning with influence diagrams. Proceedings of the 33rd Annual Conference of the Cognitive Science Society.

2010

Xu, Y. & Kemp, C. (2010). Inference and communication in the game of Password. Advances in Neural Information Processing Systems 23.

Kemp, C., Goodman, N. & Tenenbaum, J. (2010). Learning to learn causal models. Cognitive Science, 34(7), 1185-1243. This paper is part of a special issue on mechanisms of cognitive development.

Kemp, C., Chang, K. K. & Lombardi, L. (2010). Category and feature identification. Acta Psychologica, 133, 216-233. Data sets.

Xu, Y. & Kemp, C. (2010). Constructing spatial concepts from universal primitives. Proceedings of the 32nd Annual Conference of the Cognitive Science Society. Prize for computational modeling of language

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(8), 357-364.

2009

Kemp, C. & Jern, A. (2009). Abstraction and relational learning. Advances in Neural Information Processing Systems 22.

Kemp, C. (2009). Quantification and the language of thought. Advances in Neural Information Processing Systems 22.

Jern, A., Chang, K. K. & Kemp, C. (2009). Bayesian belief polarization. Advances in Neural Information Processing Systems 22. Supporting material

Kemp, C., Jern, A. & Xu, F. (2009). Object discovery and identification. Advances in Neural Information Processing Systems 22.

Kemp, C. & Jern, A. (2009). A taxonomy of inductive problems. Proceedings of the 31st Annual Conference of the Cognitive Science Society.

Jern, A. & Kemp, C. (2009). Category generation. Proceedings of the 31st Annual Conference of the Cognitive Science Society.

Maas, A. L. & Kemp, C. (2009). One-shot learning with Bayesian networks. Proceedings of the 31st Annual Conference of the Cognitive Science Society.

Kemp, C. & Xu, F. (2009). An ideal observer model of infant object perception. Advances in Neural Information Processing Systems 21. Supporting material

2008

Kemp, C. & Tenenbaum, J. B. (2008). Structured models of semantic cognition. Behavioral and Brain Sciences. 31(6), 717-718.

Kemp, C., Goodman, N. D. & Tenenbaum, J. B. (2008). Learning and using relational theories. Advances in Neural Information Processing Systems 20. Supporting material

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.

Kemp, C., Goodman, N. D. & Tenenbaum, J. B. (2008). Theory acquisition and the language of thought. Proceedings of the 30th Annual Conference of the Cognitive Science Society.

2007

Kemp, C. (2007). The acquisition of inductive constraints. Ph.D. thesis, MIT.

Kemp, C., Goodman, N. D. & Tenenbaum, J. B. (2007). Learning causal schemata. Proceedings of the 29th Annual Conference of the Cognitive Science Society. Prize for computational modeling of high level cognition

Kemp, C., Shafto, P., Berke, A. & Tenenbaum, J. B. (2007). Combining causal and similarity-based reasoning. Advances in Neural Information Processing Systems 19. Honorable mention, Outstanding Student Paper award

Roy, D. M., Kemp, C., Mansinghka, V., & Tenenbaum, J. B. (2007). Learning annotated hierarchies from relational data. Advances in Neural Information Processing Systems 19.

2006

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 21st National Conference on Artificial Intelligence. Code and data sets.

Tenenbaum, J. B., Griffiths, T. L. & Kemp, C. (2006). Theory-based Bayesian models of inductive learning and reasoning. Trends in Cognitive Sciences, 10(7), 309-318.

Kemp, C., Perfors, A. & Tenenbaum, J. B. (2006). Learning overhypotheses. Proceedings of the 28th Annual Conference of the Cognitive Science Society.

Schmidt, L. A., Kemp, C. & Tenenbaum, J. B. (2006). Nonsense and sensibility: inferring unseen possibilities. Proceedings of the 28th Annual Conference of the Cognitive Science Society.

Shafto, P., Kemp, C., Mansinghka, V., Gordon, M. & Tenenbaum, J. B. (2006). Learning cross-cutting systems of categories. Proceedings of the 28th Annual Conference of the Cognitive Science Society.

Mansinghka, V. K., Kemp, C., Tenenbaum, J. B. & Griffiths, T. L. (2006). Structured priors for structure learning. Proceedings of the 22nd Conference on Uncertainty in Artificial Intelligence.

2005

Kemp, C., Bernstein, A. & Tenenbaum, J. B. (2005). A generative theory of similarity. Proceedings of the 27th Annual Conference of the Cognitive Science Society. Stimuli and derivations.

Shafto, P., Kemp, C., Baraff, E., Coley, J. D. & Tenenbaum, J. B. (2005). Context-sensitive induction. Proceedings of the 27th Annual Conference of the Cognitive Science Society.

Kemp, C., Griffiths, T. L. & Tenenbaum, J. B. (2004). Discovering latent classes in relational data. AI Memo 2004-019

2004

Kemp, C., Perfors, A. & Tenenbaum, J. B. (2004). Learning domain structures. Proceedings of the 26th Annual Conference of the Cognitive Science Society.

Kemp, C., Griffiths, T. L., Stromsten, S., & Tenenbaum, J. B. (2004). Semi-supervised learning with trees. Advances in Neural Information Processing Systems 16. The proof of the theorem stated in the paper.

2003

Kemp, C. & Tenenbaum, J. B. (2003). Theory-based induction. Proceedings of the 25th Annual Conference of the Cognitive Science Society.

2002

Kemp, C. & Ramamohanarao, K. (2002). Long term learning for web search engines. Proceedings of the 6th European Conference on Principles and Practice of Knowledge Discovery in Databases.