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Research at St Andrews

Enumerating preferred extensions: a case study of human reasoning

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Author(s)

Alice Toniolo, Timothy J. Norman, Nir Oren

School/Research organisations

Abstract

This paper seeks to better understand the links between human reasoning and preferred extensions as found within formal argumentation, especially in the context of uncertainty. The degree of believability of a conclusion may be associated with the number of preferred extensions in which the conclusion is credulously accepted. We are interested in whether people agree with this evaluation. A set of experiments with human participants is presented to investigate the validity of such an association. Our results show that people tend to agree with the outcome of a version of Thimm’s probabilistic semantics in purely qualitative domains as well as in domains in which conclusions express event likelihood. Furthermore, we are able to characterise this behaviour: the heuristics employed by people in understanding preferred extensions are similar to those employed in understanding probabilities.

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Details

Original languageEnglish
Title of host publicationTheory and Applications of Formal Argumentation
Subtitle of host publication4th International Workshop, TAFA 2017, Melbourne, VIC, Australia, August 19-20, 2017, Revised Selected Papers
EditorsElizabeth Black, Sanjay Modgil, Nir Oren
Place of PublicationCham
PublisherSpringer
Pages192-210
Number of pages19
ISBN (Electronic)9783319755533
ISBN (Print)9783319755526
DOIs
Publication statusPublished - 2018
Event4th International Workshop on Theory and Applications of Formal Argumentation, TAFA 2017 - Melbourne, Australia
Duration: 19 Aug 201720 Aug 2017
Conference number: 4
http://4th International Workshop on Theory and Applications of Formal Argumentation, TAFA 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10757 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Workshop

Workshop4th International Workshop on Theory and Applications of Formal Argumentation, TAFA 2017
Abbreviated titleTAFA
CountryAustralia
CityMelbourne
Period19/08/1720/08/17
Internet address

    Research areas

  • Argumentation, Probabilistic semantics, User evaluation

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  1. On natural language generation of formal argumentation

    Cerutti, F., Toniolo, A. & Norman, T. J., 27 Dec 2019, Proceedings of the 3rd Workshop on Advances In Argumentation In Artificial Intelligence co-located with the 18th International Conference of the Italian Association for Artificial Intelligence (AI*IA 2019): Rende, Italy, November 19-22, 2019. Santini, F. & Toniolo, A. (eds.). Sun SITE Central Europe, p. 15-29 15 p. (CEUR Workshop Proceedings; vol. 2528).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  2. Dialectical models of deliberation, problem solving and decision making

    Walton, D., Toniolo, A. & Norman, T. J., 13 Sep 2019, In : Argumentation. First Online

    Research output: Contribution to journalArticle

  3. Deb8: a tool for collaborative analysis of video

    Carneiro, G., Nacenta, M., Toniolo, A., Mendez, G. & Quigley, A. J., 4 Jun 2019, Proceedings of the 2019 ACM International Conference on Interactive Experiences for TV and Online Video (TVX '19). ACM, p. 47-58

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  4. Deb8: collaborative fact checking

    Carneiro, G., Nacenta, M., Toniolo, A., Mendez, G. G. & Quigley, A. J., 5 May 2019.

    Research output: Contribution to conferencePaper

  5. A tool to highlight weaknesses and strengthen cases: CISpaces.org

    Cerutti, F., Norman, T. J. & Toniolo, A., 12 Dec 2018, Legal Knowledge and Information: JURIX 2018: The Thirty-first Annual Conference. Palmirani, M. (ed.). IOS Press, p. 186-189 4 p. (Frontiers in Artificial Intelligence and Applications; vol. 313).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

ID: 256048889

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