Bayesian Inference

Thomas L. Griffiths, Joshua B. Tenenbaum and Charles Kemp

in The Oxford Handbook of Thinking and Reasoning

Published in print March 2012 | ISBN: 9780199734689
Published online November 2012 | | DOI:

Series: Oxford Library of Psychology

 Bayesian Inference

More Like This

Show all results sharing these subjects:

  • Psychology
  • Cognitive Psychology
  • Cognitive Neuroscience


Show Summary Details


Inductive inferences that take us from observed data to underdetermined hypotheses are required to solve many cognitive problems, including learning categories, causal relationships, and languages. Bayesian inference provides a unifying framework for understanding how people make these inductive inferences, indicating how prior expectations should be combined with data. We introduce the Bayesian approach and discuss how it relates to other approaches such as the “heuristics and biases” research program. We then highlight some of the contributions that have been made by analyzing human cognition from the perspective of Bayesian inference, including connecting symbolic representations with statistical learning, identifying the inductive biases that guide human judgments, and forming connections to other disciplines.

Keywords: bayesian inference; rational models; inductive inference; learning

Article.  9750 words. 

Subjects: Psychology ; Cognitive Psychology ; Cognitive Neuroscience

Full text: subscription required

How to subscribe Recommend to my Librarian

Buy this work at Oxford University Press »

Users without a subscription are not able to see the full content. Please, subscribe or login to access all content.