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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Page 15
... infant memory. Science 208, 1159–1161. Salmon, W. C. (1998). Causality and explanation. New York, Oxford University Press ... Infants' expectations about the motion of animate versus inanimate objects. Paper presented at the 15th annual ...
... infant memory. Science 208, 1159–1161. Salmon, W. C. (1998). Causality and explanation. New York, Oxford University Press ... Infants' expectations about the motion of animate versus inanimate objects. Paper presented at the 15th annual ...
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... infants as well; Jessica Sommerville (chapter 3, this volume) reports a series of experiments that show that infants who actively intervene, for example, to obtain a toy by pulling a cloth on which it rests learn to distinguish relevant ...
... infants as well; Jessica Sommerville (chapter 3, this volume) reports a series of experiments that show that infants who actively intervene, for example, to obtain a toy by pulling a cloth on which it rests learn to distinguish relevant ...
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Causal Learning: Psychology, Philosophy, and Computation Alison Gopnik,Laura Schulz Limited preview - 2007 |
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