Skip to content Skip to navigation
University of Warwick
  • Study
  • |
  • Research
  • |
  • Business
  • |
  • Alumni
  • |
  • News
  • |
  • About

University of Warwick
Publications service & WRAP

Highlight your research

  • WRAP
    • Home
    • Search WRAP
    • Browse by Warwick Author
    • Browse WRAP by Year
    • Browse WRAP by Subject
    • Browse WRAP by Department
    • Browse WRAP by Funder
    • Browse Theses by Department
  • Publications Service
    • Home
    • Search Publications Service
    • Browse by Warwick Author
    • Browse Publications service by Year
    • Browse Publications service by Subject
    • Browse Publications service by Department
    • Browse Publications service by Funder
  • Statistics
  • Help & Advice
University of Warwick

The Library

  • Login

Uncovering mental representations with Markov chain Monte Carlo

Tools
- Tools
+ Tools

Sanborn, Adam N., Griffiths, Thomas L. and Shiffrin, Richard M.. (2010) Uncovering mental representations with Markov chain Monte Carlo. Cognitive Psychology, Vol.60 (No.2). pp. 63-106. ISSN 00100285

Full text not available from this repository.
Official URL: http://dx.doi.org/10.1016/j.cogpsych.2009.07.001

Abstract

A key challenge for cognitive psychology is the investigation of mental representations, such as object categories, subjective probabilities, choice utilities, and memory traces. In many cases, these representations can be expressed as a non-negative function defined over a set of objects. We present a behavioral method for estimating these functions. Our approach uses people as components of a Markov chain Monte Carlo (MCMC) algorithm, a sophisticated sampling method originally developed in statistical physics. Experiments 1 and 2 verified the MCMC method by training participants on various category structures and then recovering those structures. Experiment 3 demonstrated that the MCMC method can be used estimate the structures of the real-world animal shape categories of giraffes, horses, dogs, and cats. Experiment 4 combined the MCMC method with multidimensional scaling to demonstrate how different accounts of the structure of categories, such as prototype and exemplar models, can be tested, producing samples from the categories of apples, oranges, and grapes.

Item Type: Journal Article
Subjects: B Philosophy. Psychology. Religion > BF Psychology
R Medicine > RC Internal medicine > RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry
Divisions: Faculty of Science > Psychology
Library of Congress Subject Headings (LCSH): Markov processes -- Testing, Monte Carlo method, Cognitive psychology, Categorization (Psychology) -- Testing , Experimental design
Journal or Publication Title: Cognitive Psychology
Publisher: Academic Press
ISSN: 00100285
Date: 2010
Volume: Vol.60
Number: No.2
Page Range: pp. 63-106
Identification Number: 10.1016/j.cogpsych.2009.07.001
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access
URI: http://wrap.warwick.ac.uk/id/eprint/36006

Request changes to a record

Actions (login required)

View Item View Item
twitter

Email us: publications@warwick.ac.uk
Contact Details
About Us