## 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 Faithfulness Assumption In the joint

The Faithfulness Assumption In the joint

**distribution**on the variables in the graph, all conditional independencies ... structure from patterns of conditional**probability**and intervention (Glymour & Cooper, 1999; Spirtes et al., 1993). Page 22

B directly boosts the probability of thrombosis and indirectly lowers it by lowering the probability of an ... there be a possible intervention on X that will change Y (or the

B directly boosts the probability of thrombosis and indirectly lowers it by lowering the probability of an ... there be a possible intervention on X that will change Y (or the

**probability distribution**of Y) when all other variables in V ...Page 69

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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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