Linguistic barriers to syllogistic reasoning

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Experimental studies investigating logical reasoning performance show very high error rates of up to 80% and more. Previous research identified scalar inferences of the sentences of logical arguments as a major error source. We present new analytical tools to quantify the impact of scalar inferences on syllogistic reasoning. Our proposal builds on a new classification of Aristotelian syllogisms and a closely linked classification of reasoning behaviors/strategies. We argue that the variation in error rates across syllogistic reasoning tasks is in part due to individual variation: reasoners follow different reasoning strategies and these strategies play out differently for syllogisms of different classes.

Original languageEnglish
Title of host publicationNICS 2018 - Proceedings of 2018 5th NAFOSTED Conference on Information and Computer Science
EditorsHo Tu Bao, Le Anh Cuong, Ho Van Khuong, Bui Thu Lam
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages305-310
Number of pages6
ISBN (Electronic)9781538679838
DOIs
StatePublished - 9 Jan 2019
Event5th NAFOSTED Conference on Information and Computer Science, NICS 2018 - Ho Chi Minh City, Viet Nam
Duration: 23 Nov 201824 Nov 2018

Publication series

NameNICS 2018 - Proceedings of 2018 5th NAFOSTED Conference on Information and Computer Science

Conference

Conference5th NAFOSTED Conference on Information and Computer Science, NICS 2018
Country/TerritoryViet Nam
CityHo Chi Minh City
Period23/11/1824/11/18

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

Keywords

  • Individual variation
  • Reasoning errors
  • Scalar inferences
  • Syllogisms

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