Chapter

The value of rational analysis:

Steven Sloman and Philip M. Fernbach

in The Probabilistic Mind:

Published in print March 2008 | ISBN: 9780199216093
Published online March 2012 | e-ISBN: 9780191695971 | DOI: http://dx.doi.org/10.1093/acprof:oso/9780199216093.003.0021
The value of rational analysis:

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This chapter provides a skeptical analysis of the technical machinery of causal Bayesian networks. It points out that this machinery provides valuable insights into how the representational power of probabilistic method is of crucial importance. But the learning algorithms for such networks do not provide a good model of human causal learning. It argues that human causal learning is rational, to some degree — but also exhibits large and systematic biases. Models of causality learning that are exclusively based on rational principles are unlikely to be successful.

Keywords: technical machinery; causal Bayesian networks; probabilistic method; learning algorithms; causal learning

Chapter.  8570 words. 

Subjects: Cognitive Psychology

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