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, 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: 21 November 2018

Inference from absence in language and thought

Inference from absence in language and thought

Chapter:
(p.121) Chapter 6 Inference from absence in language and thought
Source:
The Probabilistic Mind:
Author(s):

Ulrike Hahn

Mike Oaksford

Publisher:
Oxford University Press
DOI:10.1093/acprof:oso/9780199216093.003.0006

This chapter applies probabilistic techniques to reconsider the acceptability of different kinds of appealing, but supposedly logically fallacious arguments, arguing, for example, that circular arguments need not always be ‘vicious'. It reviews recent work on the classic fallacy of the ‘argument from ignorance’. This fallacy can be given a formal, Bayesian treatment, which suggests that there is nothing structurally amiss with arguments from ignorance, rather they are differentially strong or weak as a function of their specific content, that is, the specific probabilistic quantities involved. It re-examines the relative strength of such inferences and seeks to clarify the role of two widely cited mechanisms in language acquisition, pre-emption and entrenchment, from the viewpoint of probabilistic inference.

Keywords:   probabilistic inference, arguments, Bayesian treatment, language acquisition, pre-emption, entrenchment

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 .