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 1
My advisor has gone completely crazy over this causal Bayes nets stuff and is insisting that I go to this conference (on the pittance that supports graduate researchers) and that I learn everything there is to know about the philosophy ...
My advisor has gone completely crazy over this causal Bayes nets stuff and is insisting that I go to this conference (on the pittance that supports graduate researchers) and that I learn everything there is to know about the philosophy ...
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In return, I will do my best to give you an extremely simple introduction to causal Bayes nets (see attached). Yours very truly, Brook Russell Attachment 1: Causal Bayes Nets for Dummies Causal Bayes Nets Causal-directed graphical ...
In return, I will do my best to give you an extremely simple introduction to causal Bayes nets (see attached). Yours very truly, Brook Russell Attachment 1: Causal Bayes Nets for Dummies Causal Bayes Nets Causal-directed graphical ...
Page 4
Causal Bayes nets provide a kind of logic of inductive inference and discovery. They do so, at least, for one type of inference that is particularly important in scientific theory formation. Many scientific hypotheses involve the causal ...
Causal Bayes nets provide a kind of logic of inductive inference and discovery. They do so, at least, for one type of inference that is particularly important in scientific theory formation. Many scientific hypotheses involve the causal ...
Page 5
However, the development of causal Bayes net algorithms also allows us to determine what will happen when we intervene from outside to change the value of a particular variable. When two variables are genuinely related in a causal way, ...
However, the development of causal Bayes net algorithms also allows us to determine what will happen when we intervene from outside to change the value of a particular variable. When two variables are genuinely related in a causal way, ...
Page 6
In causal Bayes nets, interventions systematically alter the nature of the graph they intervene on, and these systematic alterations follow directly from the formalism itself. In particular, when an external intervention fixes the value ...
In causal Bayes nets, interventions systematically alter the nature of the graph they intervene on, and these systematic alterations follow directly from the formalism itself. In particular, when an external intervention fixes the value ...
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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 |