Jump to ContentJump to Main Navigation
The Probabilistic Mind:Prospects for Bayesian cognitive science$
Users without a subscription are not able to see the full content.

Nick Chater and Mike Oaksford

Print publication date: 2008

Print ISBN-13: 9780199216093

Published to Oxford Scholarship Online: March 2012

DOI: 10.1093/acprof:oso/9780199216093.001.0001

Show Summary Details
Page of

PRINTED FROM OXFORD SCHOLARSHIP ONLINE (www.oxfordscholarship.com). (c) Copyright Oxford University Press, 2019. All Rights Reserved. An individual user may print out a PDF of a single chapter of a monograph in OSO for personal use. date: 16 September 2019

Bayesian brains and cognitive mechanisms:

Bayesian brains and cognitive mechanisms:

Harmony or dissonance?

(p.189) Chapter 9 Bayesian brains and cognitive mechanisms
The Probabilistic Mind:

Henry Brighton

Gerd Gigerenzer

Oxford University Press

The chapter considers the project of probabilistic rational analysis in relation to a particularly well-studied and simple heuristic, the Take the Best algorithm. The authors relate the tension between ‘rational’ and ‘algorithmic’ explanations of cognitive phenomena to the bias-variance dilemma in statistics. Where the cognitive system must make do with little data in relation to the complexity of the problem, they suggest that simple algorithmic models, rather than full-blown probabilistic calculations, may be the cognitive system's best strategy.

Keywords:   probabilistic rational analysis, cognitive mechanisms, algorithmic models, bias-variance dilemma, statistics

Oxford Scholarship Online requires a subscription or purchase to access the full text of books within the service. Public users can however freely search the site and view the abstracts and keywords for each book and chapter.

Please, subscribe or login to access full text content.

If you think you should have access to this title, please contact your librarian.

To troubleshoot, please check our FAQs , and if you can't find the answer there, please contact us .