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 viii
... MECHANISMS Introduction to Part III : Causation , Theories , and Mechanisms 243 Alison Gopnik and Laura Schulz 15 Why Represent Causal Relations ? 245 Michael Strevens 16 Causal Reasoning as Informed by the Early Development of ...
... MECHANISMS Introduction to Part III : Causation , Theories , and Mechanisms 243 Alison Gopnik and Laura Schulz 15 Why Represent Causal Relations ? 245 Michael Strevens 16 Causal Reasoning as Informed by the Early Development of ...
Page 8
... are children able to provide a complete, functional account of a chain of causal events and reason accurately about intervening causal mechanisms. Nativist and Modular Views of Causal Reasoning Over the past 8 CAUSAL LEARNING.
... are children able to provide a complete, functional account of a chain of causal events and reason accurately about intervening causal mechanisms. Nativist and Modular Views of Causal Reasoning Over the past 8 CAUSAL LEARNING.
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... mechanisms designed to infer structure from evidence but because of specialized mechanisms dedicated to relatively ... mechanism view of causality, in which causation is understood “primarily in terms of generative transmission” of ...
... mechanisms designed to infer structure from evidence but because of specialized mechanisms dedicated to relatively ... mechanism view of causality, in which causation is understood “primarily in terms of generative transmission” of ...
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... mechanisms of causal transmis- sion to statistical and covariation information in making causal judgments ( Ahn , Kalish , Medin , & Gelman , 1995 ) . Covariation Accounts However , the generative transmission view of causa- tion in ...
... mechanisms of causal transmis- sion to statistical and covariation information in making causal judgments ( Ahn , Kalish , Medin , & Gelman , 1995 ) . Covariation Accounts However , the generative transmission view of causa- tion in ...
Page 13
... mechanism” and “transmission.” Much like your Shultz they argue that causation involves the spatiotemporal transmission of some sort of “mark” or “impetus” from cause to effect. Since Hume, the alternative account, usually phrased in ...
... mechanism” and “transmission.” Much like your Shultz they argue that causation involves the spatiotemporal transmission of some sort of “mark” or “impetus” from cause to effect. Since Hume, the alternative account, usually phrased in ...
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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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