Author:
Bonawitz Elizabeth,Denison Stephanie,Gopnik Alison,Griffiths Thomas L.
Funder
McDonnell Foundation Causal Learning Collaborative
National Science Foundation
Subject
Artificial Intelligence,Linguistics and Language,Developmental and Educational Psychology,Experimental and Cognitive Psychology,Neuropsychology and Physiological Psychology
Reference92 articles.
1. Pattern recognition and machine learning;Bishop,2006
2. Bonawitz, E., & Griffiths, T.L. (2010). Deconfounding hypothesis generation and evaluation in Bayesian models. In Proceedings of the 32nd annual conference of the cognitive science society.
3. Bonawitz, E., Gopnik, A., Denison, S., & Griffiths, T.L. (2012) Rational randomness: The role of sampling in an algorithmic account of preschooler’s causal learning. In J.B. Benson (Serial Ed.) & F. Xu & T. Kushnir (Vol. Eds.), Advances in child development and behavior: Rational constructivism in cognitive development (pp. 161–192). Waltham, MA: Academic Press.
4. Bonawitz, E., Denison, S., Griffiths, T., & Gopnik, A. (2014) Probabilistic models, learning algorithms, response variability: Sampling in cognitive development. Trends in Cognitive Science.http://dx.doi.org/10.1016/j.tics.2014.06.006.
5. Occam’s rattle: Children’s use of simplicity and probability to constrain inference;Bonawitz;Developmental Psychology,2012
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