Causal Learning: Psychology, Philosophy, and Computation
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- Synopsis
- 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.
- Copyright:
- 2007
Book Details
- Book Quality:
- Publisher Quality
- ISBN-13:
- 9780190208264
- Related ISBNs:
- 9780198039280, 9780195176803
- Publisher:
- Oxford University Press
- Date of Addition:
- 07/06/24
- Copyrighted By:
- Alison Gopnik and Laura Schulz
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Psychology
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.
- Edited by:
- Alison Gopnik
- Edited by:
- Laura Schulz