Causal Learning: Psychology, Philosophy, and ComputationUnderstanding 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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... probabilities and interventions, and perhaps most significantly discriminate between conditional probabilities and interventions and counterfactuals.
... probabilities and interventions, and perhaps most significantly discriminate between conditional probabilities and interventions and counterfactuals.
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Exactly the same inferential apparatus can be used to generate counterfactual predictions. Suppose I want to ask what would have happened had things been ...
Exactly the same inferential apparatus can be used to generate counterfactual predictions. Suppose I want to ask what would have happened had things been ...
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Those representations allow children to make predictions, perform interventions, and even generate counterfactuals. As soon as they can talk, ...
Those representations allow children to make predictions, perform interventions, and even generate counterfactuals. As soon as they can talk, ...
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Finally, preschoolers' predictions, causal judgments, and counterfactual inferences are remarkably accurate across a wide range of tasks and content areas ...
Finally, preschoolers' predictions, causal judgments, and counterfactual inferences are remarkably accurate across a wide range of tasks and content areas ...
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Exploring the coherence of young children's explanatory abilities: Evidence from generating counterfactuals. British Journal of Developmental Psychology, ...
Exploring the coherence of young children's explanatory abilities: Evidence from generating counterfactuals. British Journal of Developmental Psychology, ...
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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 |
Causal Learning: Psychology, Philosophy, and Computation Alison Gopnik,Laura Schulz Limited preview - 2007 |
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Bibliographic information
| Title | Causal Learning: Psychology, Philosophy, and Computation Oxford Series in Cognitive Development |
| Editors | Alison Gopnik, Laura Schulz |
| Publisher | Oxford University Press, 2007 |
| ISBN | 019803928X, 9780198039280 |
| Length | 384 pages |
| Subjects | › Psychology / Cognitive Psychology & Cognition |
| Export Citation | BiBTeX EndNote RefMan |