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Causal Learning: Psychology, Philosophy, and Computation - Gopnik, Alison / Schulz, Laura
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Gopnik, Alison / Schulz, Laura:

Causal Learning: Psychology, Philosophy, and Computation - used book

ISBN: 9780195176803

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 f… More...

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Gopnik, Alison and Laura Schulz.:

Causal Learning: Psychology, Philosophy, and Computation. - hardcover

2007, ISBN: 9780195176803

Oxford:: Oxford University Press,, 2007.. Hard Cover. Fine in Near Fine DJ. 8vo. 358 pp. Very light edgewear to dustjacket. Otherwise in crisp and clean condition., Oxford University Pr… More...

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Editor-Alison Gopnik; Editor-Laura Schulz:
Causal Learning: Psychology, Philosophy, and Computation (Ocd Oxford Series in Cognitiv) - hardcover

2007

ISBN: 9780195176803

Oxford University Press, USA, 2007-03-22. Hardcover. Good., Oxford University Press, USA, 2007-03-22

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Gopnik, Alison (Editor)/ Schulz, Laura (Editor):
Causal Learning: Psychology, Philosophy, And Computation - hardcover

2007, ISBN: 9780195176803

Oxford Univ Pr, 2007. Hardcover. New. 1st edition. 358 pages. 10.25x7.25x1.25 inches., Oxford Univ Pr, 2007

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Causal Learning: Psychology, Philosophy, and Computation - Alison Gopnik
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Alison Gopnik:
Causal Learning: Psychology, Philosophy, and Computation - new book

ISBN: 9780195176803

Livre, [PU: Oxford University Press]

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Details of the book
Causal Learning

The world has a causal structure, in the sense that some events make other events happen. Although understanding causal structure is essential for predicting and controlling the environment, causal structure is, at least usually, not obvious from superficial, perceptual cues. How then do our minds infer this structure? In the last few years, questions about causal inference and learning have become an important focus of investigation in many different disciplines - developmental psychology, cognitive psychology, ethology, philosophy, and computer science. As is common in scientific research, there has been relatively little interaction on the topic between these disciplines. However, in spite of the minimal interaction, a general review of the research shows the beginning of a formal way of determining how, in principle, the problem of causal inference and learning can be solved, and a wealth of methods for determining how it is, in fact, solved by children, adults, and animals. This volume brings together this research and provides a more sophisticated understanding of causal inference and learning.

Details of the book - Causal Learning


EAN (ISBN-13): 9780195176803
ISBN (ISBN-10): 0195176804
Hardcover
Publishing year: 2007
Publisher: Oxford University Press Inc
358 Pages
Weight: 0,816 kg
Language: eng/Englisch

Book in our database since 2007-05-15T15:02:28+01:00 (London)
Detail page last modified on 2020-09-03T10:02:10+01:00 (London)
ISBN/EAN: 9780195176803

ISBN - alternate spelling:
0-19-517680-4, 978-0-19-517680-3


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