Journals Higher Education

$53.00

Hardcover

22 March 2007

384 Pages | 10 halftones, 116 line illus.

7 x 10 inches

ISBN: 9780195176803


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Bookseller Code (05)

Causal Learning

Psychology, Philosophy, and Computation

Edited by Alison Gopnik and Laura Schulz

Casual Learning provides a compendium of research 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 is the first book to bring together leading researchers carrying out this new research in all these areas of cognitive science. The chapters focus on three topics: the role of intervention and action in causal understanding, the role of causation in categories and concepts, and the relationship between causal learning and intuitive theory formation. The book provides an accessible and clear introduction to the new computational ideas, and with many coauthored chapters and much interaction between the chapters, it presents an active dialogue among the authors.

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