Enumerating preferred extensions: a case study of human reasoning

Alice Toniolo; Timothy J. Norman; Nir Oren

doi:10.1007/978-3-319-75553-3_14

Enumerating preferred extensions: a case study of human reasoning

Alice Toniolo^*, Timothy J. Norman, Nir Oren

^*Corresponding author for this work

School of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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.

Original language	English
Title of host publication	Theory and Applications of Formal Argumentation
Subtitle of host publication	4th International Workshop, TAFA 2017, Melbourne, VIC, Australia, August 19-20, 2017, Revised Selected Papers
Editors	Elizabeth Black, Sanjay Modgil, Nir Oren
Place of Publication	Cham
Publisher	Springer
Pages	192-210
Number of pages	19
ISBN (Electronic)	9783319755533
ISBN (Print)	9783319755526
DOIs	https://doi.org/10.1007/978-3-319-75553-3_14
Publication status	Published - 2018
Event	4th International Workshop on Theory and Applications of Formal Argumentation, TAFA 2017 - Melbourne, Australia Duration: 19 Aug 2017 → 20 Aug 2017 Conference number: 4 http://4th International Workshop on Theory and Applications of Formal Argumentation, TAFA 2017

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	10757 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Workshop

Workshop	4th International Workshop on Theory and Applications of Formal Argumentation, TAFA 2017
Abbreviated title	TAFA
Country/Territory	Australia
City	Melbourne
Period	19/08/17 → 20/08/17
Internet address	http://4th International Workshop on Theory and Applications of Formal Argumentation, TAFA 2017

Keywords

Argumentation
Probabilistic semantics
User evaluation

Access to Document

10.1007/978-3-319-75553-3_14

Accepted Manuscript_Enumerating preferred extensions
© Springer International Publishing AG, part of Springer Nature 2018. This work has been made available online in accordance with the publisher’s policies. This is the author created accepted version manuscript following peer review and as such may differ slightly from the final published version. The final published version of this work is available at https://doi.org/10.1007/978-3-319-75553-3_14
Accepted author manuscript, 384 KB

Cite this

Toniolo, A., Norman, T. J., & Oren, N. (2018). Enumerating preferred extensions: a case study of human reasoning. In E. Black, S. Modgil, & N. Oren (Eds.), Theory and Applications of Formal Argumentation: 4th International Workshop, TAFA 2017, Melbourne, VIC, Australia, August 19-20, 2017, Revised Selected Papers (pp. 192-210). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10757 LNAI). Springer. https://doi.org/10.1007/978-3-319-75553-3_14

Toniolo, Alice ; Norman, Timothy J. ; Oren, Nir. / Enumerating preferred extensions : a case study of human reasoning. Theory and Applications of Formal Argumentation: 4th International Workshop, TAFA 2017, Melbourne, VIC, Australia, August 19-20, 2017, Revised Selected Papers. editor / Elizabeth Black ; Sanjay Modgil ; Nir Oren. Cham : Springer, 2018. pp. 192-210 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Enumerating preferred extensions: a case study of human reasoning",

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{\textquoteright}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.",

keywords = "Argumentation, Probabilistic semantics, User evaluation",

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Toniolo, A, Norman, TJ & Oren, N 2018, Enumerating preferred extensions: a case study of human reasoning. in E Black, S Modgil & N Oren (eds), Theory and Applications of Formal Argumentation: 4th International Workshop, TAFA 2017, Melbourne, VIC, Australia, August 19-20, 2017, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10757 LNAI, Springer, Cham, pp. 192-210, 4th International Workshop on Theory and Applications of Formal Argumentation, TAFA 2017, Melbourne, Australia, 19/08/17. https://doi.org/10.1007/978-3-319-75553-3_14

Enumerating preferred extensions: a case study of human reasoning. / Toniolo, Alice; Norman, Timothy J.; Oren, Nir.
Theory and Applications of Formal Argumentation: 4th International Workshop, TAFA 2017, Melbourne, VIC, Australia, August 19-20, 2017, Revised Selected Papers. ed. / Elizabeth Black; Sanjay Modgil; Nir Oren. Cham: Springer, 2018. p. 192-210 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10757 LNAI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Enumerating preferred extensions

T2 - 4th International Workshop on Theory and Applications of Formal Argumentation, TAFA 2017

AU - Toniolo, Alice

AU - Norman, Timothy J.

AU - Oren, Nir

N1 - Conference code: 4

PY - 2018

Y1 - 2018

N2 - 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.

AB - 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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SN - 9783319755526

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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Toniolo A, Norman TJ, Oren N. Enumerating preferred extensions: a case study of human reasoning. In Black E, Modgil S, Oren N, editors, Theory and Applications of Formal Argumentation: 4th International Workshop, TAFA 2017, Melbourne, VIC, Australia, August 19-20, 2017, Revised Selected Papers. Cham: Springer. 2018. p. 192-210. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). Epub 2018 Mar 6. doi: 10.1007/978-3-319-75553-3_14

Enumerating preferred extensions: a case study of human reasoning

Abstract

Publication series

Workshop

Keywords

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