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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... Explanations 261 Henry M. Wellman and David Liu Dynamic Interpretations of Covariation Data 280 Woo-kyoung Ahn, Jessecae K. Marsh, and Christian C. Luhmann Statistical Jokes and Social Effects: Intervention and Invariance in Causal ...
... Explanations 261 Henry M. Wellman and David Liu Dynamic Interpretations of Covariation Data 280 Woo-kyoung Ahn, Jessecae K. Marsh, and Christian C. Luhmann Statistical Jokes and Social Effects: Intervention and Invariance in Causal ...
Page 8
... explanations of the world around them. And, they seem to learn those causal structures from patterns of evidence ... explanations of natural phenomena. Piaget found that children's early explanations of physical events were ...
... explanations of the world around them. And, they seem to learn those causal structures from patterns of evidence ... explanations of natural phenomena. Piaget found that children's early explanations of physical events were ...
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... explanations (at least of familiar, everyday events) that respect domain boundaries (Hickling & Wellman, 2001). Finally, preschoolers' predictions, causal judgments, and counterfactual inferences are remarkably accurate across a wide ...
... explanations (at least of familiar, everyday events) that respect domain boundaries (Hickling & Wellman, 2001). Finally, preschoolers' predictions, causal judgments, and counterfactual inferences are remarkably accurate across a wide ...
Page 12
... explanations of how people judge the strength of different causal variables. These theories do not explain how people make judgments about causal structure. In addition, neither the R-W nor the power PC theory provides a unified account ...
... explanations of how people judge the strength of different causal variables. These theories do not explain how people make judgments about causal structure. In addition, neither the R-W nor the power PC theory provides a unified account ...
Page 14
... explanations and theories: Evidence from everyday conversation. Developmental Psychology, 37,668–684. Kalish, C. (1996). Causes and symptoms in preschoolers' conceptions of illness. Child Development, 67, 1647–1670. Kant, I. (1899) ...
... explanations and theories: Evidence from everyday conversation. Developmental Psychology, 37,668–684. Kalish, C. (1996). Causes and symptoms in preschoolers' conceptions of illness. Child Development, 67, 1647–1670. Kant, I. (1899) ...
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Causal Learning: Psychology, Philosophy, and Computation Alison Gopnik,Laura Schulz Limited preview - 2007 |
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