Publications

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Foundations Foundations
Perception Perception
Education Education
Causal Induction Causal Induction
Cognitive Development Cognitive Development
Probabilistic Reasoning Probabilistic Reasoning
Rational Process Models Rational Process Models
Similarity and Categorization Similarity and Categorization
Statistical Models of Language Statistical Models of Language
Nonparametric Bayesian Models Nonparametric Bayesian Models
Cultural Evolution and Iterated Learning Cultural Evolution and Iterated Learning

(Click on an author's name to view all papers by that author.)

Perception
Perception
Similarity and Categorization
Peterson, J. C., & Griffiths, T. L. (in press). Evidence for the size principle in semantic and perceptual domains. Proceedings of the 39th Annual Conference of the Cognitive Science Society (pdf)
Perception
Austerweil, J. L., Griffiths, T. L., & Palmer, S. E. (in press). Learning to be (in) variant: Combining prior knowledge and experience to infer orientation invariance in object recognition. Cognitive Science. (pdf)
Perception
Causal Induction
Probabilistic Reasoning
Hamrick, J. B., Battaglia, P. W., Griffiths, T. L., Tenenbaum, J. B. (2016). Inferring mass in complex scenes by mental simulation. Cognition, 157, 61-76. (pdf)
Perception
Similarity and Categorization
Abbott, J. T., Griffiths, T. L., & Regier, T. (2016). Focal colors across languages are representative members of color categories. Proceedings of the National Academy of Sciences, 113(40), 11178-11183. (pdf)
Foundations
Perception
Griffiths, T. L., Abbott, J. T., & Hsu, A. S. (2016). Exploring human cognition using large image databases. Topics in Cognitive Science, 8(3), 569-588. (pdf)
Perception
Cultural Evolution and Iterated Learning
Suchow, J. W., Pacer, M. D., & Griffiths, T. L. (2016). Design from Zeroth Principles. Proceedings of the 38th Annual Conference of the Cognitive Science Society. (pdf)
Perception
Similarity and Categorization
Peterson, J., Abbott, J. T., & Griffiths, T. L. (2016). Adapting deep network features to capture psychological representations. Proceedings of the 38th Annual Conference of the Cognitive Science Society. (pdf) (Winner of the Computational Modeling Prize in Perception/Action)
Perception
Probabilistic Reasoning
Liu, C., Hamrick, J. B., Fisac, J. F., Dragan, A. D., Hendrick, J. K., Sastry, S. S., & Griffiths, T. L. (2016). Goal inference improves objective and perceived performance in human-robot collaboration. Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems. (pdf)
Perception
Rational Process Models
Hamrick, J. B., Smith, K. A., Griffiths, T. L., & Vul, E. (2015). Think again? The amount of mental simulation tracks uncertainty in the outcome. Proceedings of the 37th Annual Conference of the Cognitive Science Society (pdf)
Perception
Similarity and Categorization
Jia, Y., Abbott, J. T., Austerweil, J. L., Griffiths, T. L., & Darrell, T. (2013). Visual concept learning: Combining machine vision and Bayesian generalization on concept hierarchies. Advances in Neural Information Processing Systems, 26. (pdf)
Perception
Causal Induction
Sanborn, A. N., Mansinghka, V. K., & Griffiths, T. L. (2013). Reconciling intuitive physics and Newtonian mechanics for colliding objects. Psychological Review, 120, 411-437. (pdf)
Perception
Similarity and Categorization
Abbott, J. T., Regier, T., & Griffiths, T. L. (2012). Predicting focal colors with a rational model of representativeness. Proceedings of the 34th Annual Conference of the Cognitive Science Society. (pdf)
Perception
Similarity and Categorization
Abbott, J. T., Austerweil, J. L., & Griffiths, T. L. (2012). Constructing a hypothesis space from the Web for large-scale Bayesian word learning. Proceedings of the 34th Annual Conference of the Cognitive Science Society. (pdf)
Perception
Similarity and Categorization
Austerweil, J. L., & Griffiths, T. L. (2012). Human feature learning. Encyclopedia of the sciences of learning. N. M. Seel, ed. New York: Springer. (book)
Perception
Nonparametric Bayesian Models
Austerweil, J. L., Friesen, A. L., & Griffiths, T. L. (2011). An ideal observer model for identifying the reference frame of objects. Advances in Neural Information Processing Systems, 24. (pdf)
Perception
Nonparametric Bayesian Models
Austerweil, J. L., & Griffiths, T. L. (2011). A rational model of the effects of distributional information on feature learning. Cognitive Psychology, 63, 173-209. (pdf)
Perception
Statistical Models of Language
Buchsbaum, D., Canini, K. R., and Griffiths, T. L. (2011). Segmenting and recognizing human action using low-level video features. Proceedings of the 33rd Annual Conference of the Cognitive Science Society.(pdf)
Perception
Similarity and Categorization
Nonparametric Bayesian Models
Austerweil, J. L., & Griffiths, T. L. (2010). Learning invariant features using the Transformed Indian Buffet Process. Advances in Neural Information Processing Systems 23. (pdf)
Perception
Similarity and Categorization
Cultural Evolution and Iterated Learning
Xu, J., Griffiths, T. L., & Dowman, M. (2010). Replicating color term universals through human iterated learning. Proceedings of the 32nd Annual Conference of the Cognitive Science Society. (pdf)
Perception
Similarity and Categorization
Austerweil, J. L., & Griffiths, T. L. (2010). Learning hypothesis spaces and dimensions through concept learning. Proceedings of the 32nd Annual Conference of the Cognitive Science Society. (pdf)
Perception
Similarity and Categorization
Statistical Models of Language
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. (pdf)
Perception
Similarity and Categorization
Nonparametric Bayesian Models
Austerweil, J. L., & Griffiths, T. L. (2009). The effect of distributional information on feature learning. Proceedings of the 31st Annual Conference of the Cognitive Science Society. (pdf)
Perception
Similarity and Categorization
Nonparametric Bayesian Models
Austerweil, J., & Griffiths, T. L. (2009). Analyzing human feature learning as nonparametric Bayesian inference. Advances in Neural Information Processing Systems 21. (pdf)

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