Causal Learning: Psychology, Philosophy, and ComputationAlison Gopnik, Laura Schulz Understanding causal structure is a central task of human cognition. Causal learning underpins the development of our concepts and categories, our intuitive theories, and our capacities for planning, imagination and inference. During the last few years, there has been an interdisciplinary revolution in our understanding of learning and reasoning: Researchers in philosophy, psychology, and computation have discovered new mechanisms for learning the causal structure of the world. This new work provides a rigorous, formal basis for theory theories of concepts and cognitive development, and moreover, the causal learning mechanisms it has uncovered go dramatically beyond the traditional mechanisms of both nativist theories, such as modularity theories, and empiricist ones, such as association or connectionism. |
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... Cambridge, MA 02139 David Sobel Causality and Mind Lab Brown University Providence, RI 02912 Jessica Sommerville Department of Psychology and Institute for Learning & Brain Sciences University of Washington Seattle, WA 98195 Michael ...
... Cambridge, MA 02139 David Sobel Causality and Mind Lab Brown University Providence, RI 02912 Jessica Sommerville Department of Psychology and Institute for Learning & Brain Sciences University of Washington Seattle, WA 98195 Michael ...
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... Cambridge: Cambridge University Press. Flavell, J. H., Green, F. L., & Flavell, E. R. (1995). Young children's knowledge about thinking. Monographs of the Society for Research in Child Development, 60, pp. v–96. Gelman, S.A., & Wellman ...
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... Cambridge, MA: MIT Press. Rovee-Collier, C. (1980). Reactivation of infant memory. Science 208, 1159–1161. Salmon, W. C. (1998). Causality and explanation. New York, Oxford University Press. Shultz, T. (1982). Rules of causal ...
... Cambridge, MA: MIT Press. Rovee-Collier, C. (1980). Reactivation of infant memory. Science 208, 1159–1161. Salmon, W. C. (1998). Causality and explanation. New York, Oxford University Press. Shultz, T. (1982). Rules of causal ...
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