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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Page viii
245 Michael Strevens Causal Reasoning as Informed by the Early Development of Explanations 261 Henry M. Wellman and David Liu Dynamic Interpretations of Covariation Data 280 Woo-kyoung Ahn, Jessecae K. Marsh, and Christian C. Luhmann ...
245 Michael Strevens Causal Reasoning as Informed by the Early Development of Explanations 261 Henry M. Wellman and David Liu Dynamic Interpretations of Covariation Data 280 Woo-kyoung Ahn, Jessecae K. Marsh, and Christian C. Luhmann ...
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... NY 10003 Joshua Tenenbaum Department of Brain and Cognitive Sciences Massachussetts Institute of Technology Cambridge, MA 02139 Henry Wellman Department of Psychology Center for Human Growth and Development University of Michigan ...
... NY 10003 Joshua Tenenbaum Department of Brain and Cognitive Sciences Massachussetts Institute of Technology Cambridge, MA 02139 Henry Wellman Department of Psychology Center for Human Growth and Development University of Michigan ...
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The history of cognitive development, and the study of learning more generally, has been a history of theoretical answers that didn't really fit the phenomena and empirical phenomena that didn't really fit the theories.
The history of cognitive development, and the study of learning more generally, has been a history of theoretical answers that didn't really fit the phenomena and empirical phenomena that didn't really fit the theories.
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And, there is no real learning involved in development but only triggering or enrichment. The Aristotelian (Lockean, behaviorist, connectionist) view has been that, although it looks as if we are building abstract veridical ...
And, there is no real learning involved in development but only triggering or enrichment. The Aristotelian (Lockean, behaviorist, connectionist) view has been that, although it looks as if we are building abstract veridical ...
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However, the development of causal Bayes net algorithms also allows us to determine what will happen when we intervene from outside to change the value of a particular variable. When two variables are genuinely related in a causal way, ...
However, the development of causal Bayes net algorithms also allows us to determine what will happen when we intervene from outside to change the value of a particular variable. When two variables are genuinely related in a causal way, ...
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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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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 |