## 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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... the graph represents the proposition that for any set S of variables in the graph (not containing any descendants of R) R is jointly

... the graph represents the proposition that for any set S of variables in the graph (not containing any descendants of R) R is jointly

**independent**of the ... Page 4

Two discrete variables X and Y are unconditionally

Two discrete variables X and Y are unconditionally

**independent**in probability if and only if for every value x of X and y of Y the probability of x and y ... Page 5

If Graph 2 is right and parties are a common cause of wine and insomnia, then I ⊥W | P; the probability of wine-drinking occurring is

If Graph 2 is right and parties are a common cause of wine and insomnia, then I ⊥W | P; the probability of wine-drinking occurring is

**independent**(in ... Page 21

... is causally

... is causally

**independent**of A and B and then, depending on the output of this device, experimentally imposing (or “setting”) B to some particular value. Page 22

... at some value by other

... at some value by other

**independent**interventions. BTP FIGURE 1-1 In the example under discussion, B counts as a direct 22 CAUSATION AND INTERVENTION.### What people are saying - Write a review

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### Other editions - View all

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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