Causal Learning: Psychology, Philosophy, and Computation
Alison Gopnik & Laura Schulz (eds.)
Oxford University Press (2007)
| Abstract | 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 | |||||||||
| Keywords | Learning, Psychology of Causation | |||||||||
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| Buy the book | $39.83 new (21% off) $44.99 direct from Amazon (10% off) Amazon page | |||||||||
| Call number | BF318.C38 2007 | |||||||||
| ISBN(s) | 0195176804 9780195176803 | |||||||||
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Similar books and articlesYork Hagmayer, Björn Meder, Momme von Sydow & Michael R. Waldmann (2011). Category Transfer in Sequential Causal Learning: The Unbroken Mechanism Hypothesis. Cognitive Science 35 (5):842-873.
Robert Gerlai (1997). A Causal Relationship Between LTP and Learning? Has the Question Been Answered by Genetic Approaches? Behavioral and Brain Sciences 20 (4):617-618.
Michael Strevens (2007). Why Represent Causal Relations? In Alison Gopnik & Laura Schulz (eds.), Causal Learning: Psychology, Philosophy, Computation. Oxford University Press.
Charles Kemp, Noah D. Goodman & Joshua B. Tenenbaum (2010). Learning to Learn Causal Models. Cognitive Science 34 (7):1185-1243.
John Campbell (2006). An Interventionist Approach to Causation in Psychology. In Alison Gopnik & Larry J. Schulz (eds.), Causal Learning: Psychology, Philosophy and Computation. Oup.
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