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 v
It is well known that the center is, almost unique among human experiences, even better than you think it is going to be, and we are extremely grateful to everyone at that magnificent institution, particularly Douglas Adams and Mark ...
It is well known that the center is, almost unique among human experiences, even better than you think it is going to be, and we are extremely grateful to everyone at that magnificent institution, particularly Douglas Adams and Mark ...
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... and Steven A. Sloman Theory Unification and Graphical Models in Human Categorization 173 David Danks 12 Essentialism as a Generative Theory of Classification 190 Bob Rehder Data-Mining Probabilists or Experimental Determinists?
... and Steven A. Sloman Theory Unification and Graphical Models in Human Categorization 173 David Danks 12 Essentialism as a Generative Theory of Classification 190 Bob Rehder Data-Mining Probabilists or Experimental Determinists?
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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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This is a common assumption in studies of human causal learning. The causal Markov assumption, however, applies to all parameterizations. To illustrate, consider a simple causal problem that is far too common for academics who attend ...
This is a common assumption in studies of human causal learning. The causal Markov assumption, however, applies to all parameterizations. To illustrate, consider a simple causal problem that is far too common for academics who attend ...
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Piaget found that children's early explanations of physical events were artificialistic (meaning events were attributed to human intervention: clouds move because we walk, the river flows because of boats) and animistic (meaning that ...
Piaget found that children's early explanations of physical events were artificialistic (meaning events were attributed to human intervention: clouds move because we walk, the river flows because of boats) and animistic (meaning that ...
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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 |