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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... probabilistic , generative or inhibitory , linear or nonlinear . The exact specifica- tion of the nature of these relations is called the para- meterization of the graph . In most applications of the formalism , we assume that the ...
... probabilistic , generative or inhibitory , linear or nonlinear . The exact specifica- tion of the nature of these relations is called the para- meterization of the graph . In most applications of the formalism , we assume that the ...
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... Probabilistic Contrast Patricia Cheng ( 1997 ) proposes an account of human causal learning that resolves some of the difficulties with the R - W account . Cheng proposes that people innately treat covariation as an index of causal ...
... Probabilistic Contrast Patricia Cheng ( 1997 ) proposes an account of human causal learning that resolves some of the difficulties with the R - W account . Cheng proposes that people innately treat covariation as an index of causal ...
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... Probabilistic reasoning in intelligent systems . San Mateo , CA : Morgan Kaufmann . Pearl , J. ( 2000 ) . Causality . New York : Oxford University Press . Piaget , J. ( 1929 ) . The child's conception of the world . New York : Harcourt ...
... Probabilistic reasoning in intelligent systems . San Mateo , CA : Morgan Kaufmann . Pearl , J. ( 2000 ) . Causality . New York : Oxford University Press . Piaget , J. ( 1929 ) . The child's conception of the world . New York : Harcourt ...
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... Probabilistic the- ories attempt to do this in terms of inequalities among conditional probabilities: A cause must raise or at least change the probability of its effect, conditional on some suitable set of background conditions. When ...
... Probabilistic the- ories attempt to do this in terms of inequalities among conditional probabilities: A cause must raise or at least change the probability of its effect, conditional on some suitable set of background conditions. When ...
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Causal Learning: Psychology, Philosophy, and Computation Alison Gopnik,Laura Schulz Limited preview - 2007 |
Causal Learning: Psychology, Philosophy, and Computation Alison Gopnik,Laura Schulz Limited preview - 2007 |
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