Causal Learning: Psychology, Philosophy, and Computation

Causal Learning: Psychology, Philosophy, and Computation

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by Alison Gopnik

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Advance Praise for Causal Learning See more details below


Advance Praise for Causal Learning

Editorial Reviews

From the Publisher
"New formal methods, especially those based on Bayesian networks, have revolutionized the cognitive science of causality, opening up exciting theoretical directions and new empirical challenges. This book integrates and distills the state-of-the-art in the field, with contributions from leading researchers in developmental and cognitive psychology, philosophy, and machine learning." —Nick Chater, Professor of Cognitive and Decision Sciences, University College London

"The question of how humans learn about the world is in large part the question of how humans reason about causality. It's hard to imagine a more fundamental aspect of human cognition than this. In Causal Learning, an impressive array of leading scholars takes a good, hard, thoughtful look at causality, yielding many new and surprising insights. This edited volume accomplishes what is often desired but rarely achieved: an exciting and truly interdisciplinary venture that successfully combines psychology, philosophy, statistics, and computational modeling. A must-read for anyone interested in human learning." —Susan Gelman, Frederick G. L. Huetwell Professor of Psychology, University of Michigan

"An exemplar of inter-disciplinary work: adventurous, coherent, readable, and even witty. A striking intervention into some often-encrusted literatures." —Peter Godfrey-Smith, Professor of Philosophy, Harvard University

"This well-edited text has clear prose and insightful thinking...highly enjoyable...well worth the effort of reading. Gopnik and Schulz have put together a well-developed overview of the current state of research in the field of causal learning...Overall, I believe that this is a well-written book on an important field of behavioral science. It would serve any research psychologist well to read it through at least once."—PsycCritiques

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