Other Papers
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.
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