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NeoconstructivismThe New Science of Cognitive Development$
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Scott Johnson

Print publication date: 2009

Print ISBN-13: 9780195331059

Published to Oxford Scholarship Online: February 2010

DOI: 10.1093/acprof:oso/9780195331059.001.0001

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Integrating Top-down and Bottom-up Approaches to Children’s Causal Inference

Integrating Top-down and Bottom-up Approaches to Children’s Causal Inference

Chapter:
(p.159) CHAPTER 8 Integrating Top-down and Bottom-up Approaches to Children’s Causal Inference
Source:
Neoconstructivism
Author(s):

David M. Sobel

Publisher:
Oxford University Press
DOI:10.1093/acprof:oso/9780195331059.003.0008

This chapter suggests a description of causal inference based on Bayesian inference, which illustrates how children engage in causal learning. This description is meant at the computational level of analysis, which means that an obvious limitation of this approach is that it should not be taken for the actual algorithm by which children learn causal knowledge, nor should it be considered how the brain instantiates such inference. However, describing the way in which children learn causal knowledge provides insight into these questions.

Keywords:   children, learning, conceptual knowledge, causal inference, causal learning

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