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
A Dialogue on the Principles Underlying Causal Learning in Children 208 Thomas Richardson, Laura Schulz, and Alison Gopnik 14 Learning the Structure of Deterministic Systems 231 Clark Glymour PART III: CAUSATION, THEORIES, ...
A Dialogue on the Principles Underlying Causal Learning in Children 208 Thomas Richardson, Laura Schulz, and Alison Gopnik 14 Learning the Structure of Deterministic Systems 231 Clark Glymour PART III: CAUSATION, THEORIES, ...
Page ix
... CT 06520 John Campbell Department of Philosophy University of California at Berkeley Berkeley, CA 94720-2390 David Danks Department of Philosophy Carnegie Mellon University Pittsburgh, PA 15213 Clark Glymour Department of Philosophy ...
... CT 06520 John Campbell Department of Philosophy University of California at Berkeley Berkeley, CA 94720-2390 David Danks Department of Philosophy Carnegie Mellon University Pittsburgh, PA 15213 Clark Glymour Department of Philosophy ...
Page 2
The philosopher of science Clark Glymour (Glymour 1992) put it very well, I think, in his critique of cognitive theories of science, appropriately called “Invasion of the Mind Snatchers”: The idea that theories are something you would ...
The philosopher of science Clark Glymour (Glymour 1992) put it very well, I think, in his critique of cognitive theories of science, appropriately called “Invasion of the Mind Snatchers”: The idea that theories are something you would ...
Page 3
Yours very truly, Brook Russell Attachment 1: Causal Bayes Nets for Dummies Causal Bayes Nets Causal-directed graphical models, or causal Bayes nets, were developed in the philosophy of science and statistical literature (Glymour, 2001; ...
Yours very truly, Brook Russell Attachment 1: Causal Bayes Nets for Dummies Causal Bayes Nets Causal-directed graphical models, or causal Bayes nets, were developed in the philosophy of science and statistical literature (Glymour, 2001; ...
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Given the faithfulness assumption, it is possible to infer complex causal structure from patterns of conditional probability and intervention (Glymour & Cooper, 1999; Spirtes et al., 1993). Computationally tractable learning algorithms ...
Given the faithfulness assumption, it is possible to infer complex causal structure from patterns of conditional probability and intervention (Glymour & Cooper, 1999; Spirtes et al., 1993). Computationally tractable learning algorithms ...
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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 |