Jump to ContentJump to Main Navigation
The Making of Human Concepts$
Users without a subscription are not able to see the full content.

Denis Mareschal, Paul C. Quinn, and Stephen E.G. Lea

Print publication date: 2010

Print ISBN-13: 9780199549221

Published to Oxford Scholarship Online: May 2010

DOI: 10.1093/acprof:oso/9780199549221.001.0001

Show Summary Details
Page of

PRINTED FROM OXFORD SCHOLARSHIP ONLINE (www.oxfordscholarship.com). (c) Copyright Oxford University Press, 2018. All Rights Reserved. Under the terms of the licence agreement, an individual user may print out a PDF of a single chapter of a monograph in OSO for personal use (for details see www.oxfordscholarship.com/page/privacy-policy).date: 22 October 2018

Mechanistic models of associative and rule-based category learning

Mechanistic models of associative and rule-based category learning

Chapter:
(p.53) Chapter 4 Mechanistic models of associative and rule-based category learning
Source:
The Making of Human Concepts
Author(s):

Bradley C. Love

Marc Tomlinson

Publisher:
Oxford University Press
DOI:10.1093/acprof:oso/9780199549221.003.04

This chapter reviews the relative merits of a variety of category learning models. These include rule-based models, prototype-based models, exemplar-based models, hybrid models, and multiple systems models. All of these models have played a critical role in driving advances in theory and in the design of key experiments. The development of new models is informed by the failings of preceding models.

Keywords:   category learning, rule-based models, prototype-based models, exemplar-based models, hybrid models, multiple systems models

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 .