Causal Learning: Psychology, Philosophy, and ComputationAlison Gopnik, Laura Schulz Understanding 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
... algorithms? They are, I understand, inept at even quite elementary differential integration problems and have, at best, only the most primitive understanding of basic linear algebra. However, one of the benefits of an Oxford education ...
... algorithms? They are, I understand, inept at even quite elementary differential integration problems and have, at best, only the most primitive understanding of basic linear algebra. However, one of the benefits of an Oxford education ...
Page 5
... 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, holding other variables constant, then ...
... 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, holding other variables constant, then ...
Page 7
... algorithms have been designed to accomplish this task and have been extensively applied in a range of disciplines (e.g., Ramsey, Roush, Gazis, & Glymour, 2002; Shipley, 2000). In some cases, it is also possible to accurately infer the ...
... algorithms have been designed to accomplish this task and have been extensively applied in a range of disciplines (e.g., Ramsey, Roush, Gazis, & Glymour, 2002; Shipley, 2000). In some cases, it is also possible to accurately infer the ...
Page 13
... algorithms, like your sprogs, can infer causal structure rather than just strength; they can appropriately combine information from interventions and observations and distinguish appropriately between them, and they can even infer ...
... algorithms, like your sprogs, can infer causal structure rather than just strength; they can appropriately combine information from interventions and observations and distinguish appropriately between them, and they can even infer ...
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Causal Learning: Psychology, Philosophy, and Computation Alison Gopnik,Laura Schulz Limited preview - 2007 |
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