Human reasoning with proportional quantifiers and its support by diagrams

Yuri Sato, Koji Mineshima

Research output: Chapter in Book/Conference proceeding with ISSN or ISBNConference contribution with ISSN or ISBN

Abstract

In this paper, we study the cognitive effectiveness of dia- grammatic reasoning with proportional quantifiers such as most. We first examine how Euler-style diagrams can represent syllogistic reasoning with proportional quantifiers, building on previous work on diagrams for the so-called plurative syllogism (Rescher and Gallagher, 1965). We then conduct an experiment to compare performances on syllogistic reasoning tasks of two groups: those who use only linguistic material (two sentential premises and one conclusion) and those who are also given Euler diagrams corresponding to the two premises. Our experiment showed that (a) in both groups, the speed and accuracy of syllogistic reasoning tasks with proportional quantifiers like most were worse than those with standard first-order quantifiers such as all and no, and (b) in both stan- dard and non-standard (proportional) syllogisms, speed and accuracy for the group provided with diagrams were significantly better than the group provided only with sentential premises. These results suggest that syllogistic reasoning with proportional quantifiers like most is cognitively complex, yet can be effectively supported by Euler diagrams that represent the proportionality relationships between sets in a suitable way.
Original languageEnglish
Title of host publicationDiagrammatic Representation and Inference; Proceedings of 9th International Conference on the Theory and Application of Diagrams (Diagrams 2016)
Place of PublicationSwitzerland
PublisherSpringer
Pages123-138
Number of pages16
Volume9781
DOIs
Publication statusPublished - 26 Jul 2016
EventDiagrammatic Representation and Inference; Proceedings of 9th International Conference on the Theory and Application of Diagrams (Diagrams 2016) - Philadelphia, Pennsylvania, USA, 2016
Duration: 26 Jul 2016 → …

Publication series

NameLecture Notes in Computer Science

Conference

ConferenceDiagrammatic Representation and Inference; Proceedings of 9th International Conference on the Theory and Application of Diagrams (Diagrams 2016)
Period26/07/16 → …

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  • Cite this

    Sato, Y., & Mineshima, K. (2016). Human reasoning with proportional quantifiers and its support by diagrams. In Diagrammatic Representation and Inference; Proceedings of 9th International Conference on the Theory and Application of Diagrams (Diagrams 2016) (Vol. 9781, pp. 123-138). (Lecture Notes in Computer Science). Springer. https://doi.org/10.1007/978-3-319-42333-3_10