Literature DB >> 11958347

Relative informativeness of quantifiers used in syllogistic reasoning.

Mike Oaksford1, Lisa Roberts, Nick Chater.   

Abstract

Three experiments tested a possible resolution of the probability heuristics model (PHM) of syllogistic reasoning proposed by Chater and Oaksford (1999), with their experimental results apparently showing that the generalized quantifier few was not as informative as suggested theoretically. Modifying the interpretation of few to take into account the distinction between positive and negative quantifiers (Moxey & Sanford, 1993) indicated two orderings over the quantifiers all, most, few, some, none, and some...not that are more consistent with the results. Experiments 1-3 tested these orderings empirically by having participants rank whether a quantifier applied to a particular probabilistic state of affairs. Experiments 1 and 2 showed that participants agreed on when a quantifier applied and that the empirically derived informativeness orderings were consistent with the proposed modifications of the order. Experiment 3 showed that this finding was robust even when response competition was eliminated.

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Mesh:

Year:  2002        PMID: 11958347     DOI: 10.3758/bf03195273

Source DB:  PubMed          Journal:  Mem Cognit        ISSN: 0090-502X


  8 in total

1.  The probability heuristics model of syllogistic reasoning.

Authors:  N Chater; M Oaksford
Journal:  Cogn Psychol       Date:  1999-03       Impact factor: 3.468

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Authors:  S E Newstead; S J Handley; E Buck
Journal:  Mem Cognit       Date:  1999-03

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Authors:  H H Brownell; A Caramazza
Journal:  Mem Cognit       Date:  1978-09

4.  Attentional focusing with quantifiers in production and comprehension.

Authors:  A J Sanford; L M Moxey; K B Paterson
Journal:  Mem Cognit       Date:  1996-03

5.  The probabilistic approach to human reasoning.

Authors:  M Oaksford; N Chater
Journal:  Trends Cogn Sci       Date:  2001-08-01       Impact factor: 20.229

Review 6.  Mental models and probabilistic thinking.

Authors:  P N Johnson-Laird
Journal:  Cognition       Date:  1994 Apr-Jun

7.  Human rationality and the psychology of reasoning: where do we go from here?

Authors:  N Chater; M Oaksford
Journal:  Br J Psychol       Date:  2001-02

8.  Two modes of mental representation and problem solution in syllogistic reasoning.

Authors:  M Ford
Journal:  Cognition       Date:  1995-01
  8 in total
  6 in total

1.  How the brain learns how few are "many": An fMRI study of the flexibility of quantifier semantics.

Authors:  Stefan Heim; Corey T McMillan; Robin Clark; Laura Baehr; Kylie Ternes; Christopher Olm; Nam Eun Min; Murray Grossman
Journal:  Neuroimage       Date:  2015-10-17       Impact factor: 6.556

2.  Confidence and accuracy in deductive reasoning.

Authors:  Jody M Shynkaruk; Valerie A Thompson
Journal:  Mem Cognit       Date:  2006-04

Review 3.  Imaging deductive reasoning and the new paradigm.

Authors:  Mike Oaksford
Journal:  Front Hum Neurosci       Date:  2015-02-27       Impact factor: 3.169

4.  If so many are "few," how few are "many"?

Authors:  Stefan Heim; Corey T McMillan; Robin Clark; Stephanie Golob; Nam E Min; Christopher Olm; John Powers; Murray Grossman
Journal:  Front Psychol       Date:  2015-04-17

5.  So Many Are "Few," but so Few Are Also "Few" - Reduced Semantic Flexibility in bvFTD Patients.

Authors:  Stefan Heim; Corey T McMillan; Christopher Olm; Murray Grossman
Journal:  Front Psychol       Date:  2020-04-03

6.  "Few" or "Many"? An Adaptation Level Theory Account for Flexibility in Quantifier Processing.

Authors:  Stefan Heim; Natalja Peiseler; Natalia Bekemeier
Journal:  Front Psychol       Date:  2020-03-20
  6 in total

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