CAUSAL LEARNING: PSYCH,PHILOS & COMPUT C (Oxford Series in Cognitive Development) - Hardcover

GOPNIK

Hardcover

ISBN 10: 0195176804 ISBN 13: 9780195176803

Verlag: Academic, 2010

Inhaltsangabe

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.

Über diesen Titel

Über die Autorin bzw. den Autor

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.

Details zur Ausgabe

• Verlag: Academic
• Erscheinungsdatum: 2010
• ISBN 10: 0195176804
• ISBN 13: 9780195176803
• Einband: Tapa dura
• Sprache: Englisch
• Anzahl der Seiten: 372
• Kontakt zum Hersteller: Nicht verfügbar