Causal Learning

Causal Learning : Psychology, Philosophy, and Computation

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Description

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.show more

Product details

  • Hardback | 384 pages
  • 182.9 x 256.5 x 25.4mm | 816.48g
  • Oxford University Press Inc
  • New York, United States
  • English
  • 108 line illustrations, 10 black and white photographs, 8 shaded line illustrations
  • 0195176804
  • 9780195176803
  • 1,457,971

Review quote

...well worth the effort of reading...a well-developed overview of the current state of research in the field of causal learning. * PsycCritiques *show more

About Alison Gopnik

Alison Gopnik is Professor of Psychology at the University of California at Berkeley. She is the coauthor of Words, Thoughts and Theories (1997), and The Scientist mn the Crib (1999). She has written over a hundred scientific articles as well as articles for The New York Times, The New York Review of Books and Slate.com. Laura Schulz is Assistant Professor of Brain and Cognitive Sciences at the Massachussets Institute of Technology. She has been the recipient of National Science Foundation and American Association of University Women fellowships. She has published in Developmental Psychology, Child Development, Psychological Review and Trends in Cognitive Sciences.show more

Table of contents

PART I: CAUSATION AND INTERVENTION; PART II: CAUSATION AND PROBABILITY; PART III: CAUSATION, THEORIES, AND MECHANISMSshow more

Rating details

6 ratings
4.16 out of 5 stars
5 50% (3)
4 33% (2)
3 0% (0)
2 17% (1)
1 0% (0)
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