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 3
Rather than providing a reductive definition of causation they instead provide a formal mathematical framework that captures important regularities in causal facts, just as the mathematical structure of geometry captures important ...
Rather than providing a reductive definition of causation they instead provide a formal mathematical framework that captures important regularities in causal facts, just as the mathematical structure of geometry captures important ...
Page 20
Although it is possible to provide a treatment of token causation within a manipulability framework,1 I focus on the general notion of one type of factor being causally relevant (either positively or negatively) to another.
Although it is possible to provide a treatment of token causation within a manipulability framework,1 I focus on the general notion of one type of factor being causally relevant (either positively or negatively) to another.
Page 22
... indeed a direct cause, of T. The notion of direct causation can be captured in an interventionist framework as follows: (DC) A necessary and sufficient condition for X to be a direct cause of Y with respect to some variable set V is ...
... indeed a direct cause, of T. The notion of direct causation can be captured in an interventionist framework as follows: (DC) A necessary and sufficient condition for X to be a direct cause of Y with respect to some variable set V is ...
Page 23
... out the detailed content of causal claims within an interventionist framework. Such information about detailed manipulability or dependency relationships is often required for tasks involving fine-grained control such as tool use.
... out the detailed content of causal claims within an interventionist framework. Such information about detailed manipulability or dependency relationships is often required for tasks involving fine-grained control such as tool use.
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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 |