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 vii
... Tamar Kushnir, and Alison Gopnik 6 Causal Reasoning Through Intervention 86 York Hagmayer, Steven Sloman, David Lagnado, and Michael R. Waldmann 7 On the Importance of Causal Taxonomy 101 Christopher Hitchcock PART II: CAUSATION AND ...
... Tamar Kushnir, and Alison Gopnik 6 Causal Reasoning Through Intervention 86 York Hagmayer, Steven Sloman, David Lagnado, and Michael R. Waldmann 7 On the Importance of Causal Taxonomy 101 Christopher Hitchcock PART II: CAUSATION AND ...
Page viii
... Matt Easterday, and David Danks 9 Interactions Between Causal and Statistical Learning 139 David M. Sobel and Natasha Z. Kirkham Beyond Covariation: Cues to Causal Structure 154 David A. Lagnado, Michael R. Waldmann, York Hagmayer, ...
... Matt Easterday, and David Danks 9 Interactions Between Causal and Statistical Learning 139 David M. Sobel and Natasha Z. Kirkham Beyond Covariation: Cues to Causal Structure 154 David A. Lagnado, Michael R. Waldmann, York Hagmayer, ...
Page 8
... Gopnik woman whose name you like so much will also show you all that on Saturday. When it comes to grown-ups, York Hagmayer, Steve Sloman, Dave Lagnado, and Michael Waldmann will show you that even those stats class undergraduates ...
... Gopnik woman whose name you like so much will also show you all that on Saturday. When it comes to grown-ups, York Hagmayer, Steve Sloman, Dave Lagnado, and Michael Waldmann will show you that even those stats class undergraduates ...
Page 11
Similarly, Waldmann (1996, 2000; Waldmann & Holyoak, 1992) showed asymmetries in the predictive and diagnostic uses of causal information that were difficult to explain ...
Similarly, Waldmann (1996, 2000; Waldmann & Holyoak, 1992) showed asymmetries in the predictive and diagnostic uses of causal information that were difficult to explain ...
Page 15
Waldmann, M. R. (1996). Knowledge-based causal induction. In D. R. Shanks, K. Holyoak, & D. L. Medin (Eds.), Causal learning (pp. 47–88). San Diego, CA: Academic Press. Waldmann, M. R. (2000). Competition among causes but not effects in ...
Waldmann, M. R. (1996). Knowledge-based causal induction. In D. R. Shanks, K. Holyoak, & D. L. Medin (Eds.), Causal learning (pp. 47–88). San Diego, CA: Academic Press. Waldmann, M. R. (2000). Competition among causes but not effects 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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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 |