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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... relations among these variables, which I can represent by two simple causal graphs: Graph 1 is a chain P → W → I ... causal chain that goes from parties to wine to insomnia, then I⊥P | W; the probability of insomnia occurring is ...
... relations among these variables, which I can represent by two simple causal graphs: Graph 1 is a chain P → W → I ... causal chain that goes from parties to wine to insomnia, then I⊥P | W; the probability of insomnia occurring is ...
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... Causal Reasoning Over the past several decades, however—and with the development of new methods for assessing the ... relations within a domain, how we make causal inferences that transcend domain boundaries (i.e., that physical ...
... Causal Reasoning Over the past several decades, however—and with the development of new methods for assessing the ... relations within a domain, how we make causal inferences that transcend domain boundaries (i.e., that physical ...
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... causal impetus” is “central to the psychological definition of cause-effect relations” (1982). Consistent with this ... relationships involve contingencies. There is a vast body of literature on contingency learning in both human and ...
... causal impetus” is “central to the psychological definition of cause-effect relations” (1982). Consistent with this ... relationships involve contingencies. There is a vast body of literature on contingency learning in both human and ...
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... causal relations: Role of probability in judgments of response-outcome contingency. Journal of Experimental Psychology: Learning, Memory, and Cognition, 19, 174–188. Watson, J. S., & Ramey, C. T. (1972). Reactions to response-contingent ...
... causal relations: Role of probability in judgments of response-outcome contingency. Journal of Experimental Psychology: Learning, Memory, and Cognition, 19, 174–188. Watson, J. S., & Ramey, C. T. (1972). Reactions to response-contingent ...
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... causation, for example, claims that causal relationships require a spatiotemporally connecting causal process. So, regardless of what one makes of the circularity of TC, it is certainly not vacuous or empty. Let me now turn to the ...
... causation, for example, claims that causal relationships require a spatiotemporally connecting causal process. So, regardless of what one makes of the circularity of TC, it is certainly not vacuous or empty. Let me now turn to 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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