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Causal Learning: Psychology, Philosophy, And Computation
By Alison Gopnik (editor) and Laura Schulz (editor)
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Bibliographic Detail
Publisher Oxford Univ Pr
Publication date March 22, 2007
Pages 358
Binding Hardcover
Book category Adult Non-Fiction
ISBN-13 9780195176803
ISBN-10 0195176804
Dimensions 1.25 by 7.25 by 10.25 in.
Weight 1.80 lbs.
Original list price $56.00
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Summaries and Reviews
Amazon.com description: Product Description: 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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Hardcover
Book cover for 9780195176803
 
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from Oxford Univ Pr (March 22, 2007)
9780195176803 | details & prices | 358 pages | 7.25 × 10.25 × 1.25 in. | 1.80 lbs | List price $56.00
About: Understanding causal structure is a central task of human cognition.

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