Inference from absence in language and thought

Ulrike Hahn and Mike Oaksford

in The Probabilistic Mind:

Published in print March 2008 | ISBN: 9780199216093
Published online March 2012 | e-ISBN: 9780191695971 | DOI:
Inference from absence in language and thought

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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

Chapter.  9131 words.  Illustrated.

Subjects: Cognitive Psychology

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