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 12
... causation, and the causal power of c is undefined. This explains both why ceiling effects are a boundary condition on causal inference and why covariation is not, in general, equivalent to causation. A parallel account explains inferences ...
... causation, and the causal power of c is undefined. This explains both why ceiling effects are a boundary condition on causal inference and why covariation is not, in general, equivalent to causation. A parallel account explains inferences ...
Page 14
... causal graphical models in psychology. Cambridge, MA: MIT Press. Glymour, C ... causal learning in children: Causal maps and Bayes nets. Psychological Review ... inference via ancestral graph models. In P. Green, N. Hjort, & S. Richardson ...
... causal graphical models in psychology. Cambridge, MA: MIT Press. Glymour, C ... causal learning in children: Causal maps and Bayes nets. Psychological Review ... inference via ancestral graph models. In P. Green, N. Hjort, & S. Richardson ...
Page 15
... causal attribution. Monographs of the Society for Research in Child Development, 194,47, 1. Shultz, T. R., Pardo, S., & Altmann, E. (1982). Young children's use of transitive inference in causal chains. British Journal of Psychology ...
... causal attribution. Monographs of the Society for Research in Child Development, 194,47, 1. Shultz, T. R., Pardo, S., & Altmann, E. (1982). Young children's use of transitive inference in causal chains. British Journal of Psychology ...
Page 26
... causal inference and judgment and should be evaluated accordingly. In addition, although adherents of a normative theory always have the option, in any particular case, of responding to evidence that subjects do not in fact reason and ...
... causal inference and judgment and should be evaluated accordingly. In addition, although adherents of a normative theory always have the option, in any particular case, of responding to evidence that subjects do not in fact reason and ...
Page 29
... causal structures suggest that subjects do indeed distinguish between ... causal claims and employ them in contexts in which a causal interpretation is natural or a ... inference. Turning now to the status of (b), it is clear that the ...
... causal structures suggest that subjects do indeed distinguish between ... causal claims and employ them in contexts in which a causal interpretation is natural or a ... inference. Turning now to the status of (b), it is clear that the ...
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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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