Causal Learning : Psychology, Philosophy, and Computation Hardback
Edited by Alison (Professor of Psychology, Professor of Psychology, University of California at Berkel Gopnik, Laura (Assistant Professor, Assistant Professor, Brain and Cognitive Sciences, Massachusetts Schulz
Part of the Oxford Series in Cognitive Development series
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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 thebeginning 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.
Out of Stockmore expected soon
- Pages:384 pages, 108 line illustrations, 10 black and white photographs, 8 shaded line illustrations
- Publisher:Oxford University Press Inc
- Publication Date:26/04/2007