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Deconfounding hypothesis generation and evaluation in Bayesian models

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In S. Ohlsson & R. Catrambone (eds.), Proceedings of the 32nd Annual Conference of the Cognitive Science Society. Cognitive Science Society (2010)

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  1. Word learning as Bayesian inference.Fei Xu & Joshua B. Tenenbaum - 2007 - Psychological Review 114 (2):245-272.
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  • Vision: Variations on Some Berkeleian Themes.Robert Schwartz & David Marr - 1985 - Philosophical Review 94 (3):411.
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  • Children and adults as intuitive scientists.Deanna Kuhn - 1989 - Psychological Review 96 (4):674-689.
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  • Perception and preference in short-term word priming.David E. Huber, Richard M. Shiffrin, Keith B. Lyle & Kirsten I. Ruys - 2001 - Psychological Review 108 (1):149-182.
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  • A Rational Analysis of Rule-Based Concept Learning.Noah D. Goodman, Joshua B. Tenenbaum, Jacob Feldman & Thomas L. Griffiths - 2008 - Cognitive Science 32 (1):108-154.
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  • Theory and Evidence: The Development of Scientific Reasoning.Barbara Koslowski - 1996 - MIT Press.
    Koslowski boldly criticizes many of the currently classic studies and musters a compelling set of arguments, backed by an exhaustive set of experiments carried out during the last decade.
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  • Vision.David Marr - 1982 - W. H. Freeman.
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  • Two proposals for causal grammars.Thomas L. Griffiths & Joshua B. Tenenbaum - 2007 - In Alison Gopnik & Laura Schulz (eds.), Causal Learning: Psychology, Philosophy, and Computation. Oxford University Press. pp. 323--345.
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  • How do Scientists Think? Capturing the Dynamics of Conceptual Change in Science.Nancy Nersessian - 1992 - In R. Giere & H. Feigl (eds.), Cognitive Models of Science. University of Minnesota Press. pp. 3--45.
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