Causal Learning: Psychology, Philosophy, and Computation

ISBN-10: 0190208260
ISBN-13: 9780190208264
Category: Psychology
Pages: 384
Language: English
Published: 2007-03-22
Publisher: Oxford University Press
Authors: Alison Gopnik, Laura Schulz

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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Other editions

Causal Learning: Psychology, Philosophy, and Computation
- 2007-03-22
- 358 pages
- Paperback
- Oxford University Press
Causal Learning: Advances in Research and Theory
- 1996-09-26
- 442 pages
- Ebook
- Academic Press

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