Hunter, A;
(2021)
Argument Strength in Probabilistic Argumentation Using Confirmation Theory.
In:
Symbolic and Quantitative Approaches to Reasoning with Uncertainty. ECSQARU 2021.
(pp. pp. 74-88).
Springer: Cham, Switzerland.
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Abstract
It is common for people to remark that a particular argument is a strong (or weak) argument. Having a handle on the relative strengths of arguments can help in deciding on which arguments to consider, and on which to present to others in a discussion. In computational models of argument, there is a need for a deeper understanding of argument strength. Our approach in this paper is to draw on confirmation theory for quantifying argument strength, and harness this in a framework based on probabilistic argumentation. We show how we can calculate strength based on the structure of the argument involving defeasible rules. The insights appear transferable to a variety of other structured argumentation systems.
| Type: | Proceedings paper |
|---|---|
| Title: | Argument Strength in Probabilistic Argumentation Using Confirmation Theory |
| Event: | ECSQARU 2021: European Conference on Symbolic and Quantitative Approaches with Uncertainty |
| ISBN-13: | 978-3-030-86771-3 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1007/978-3-030-86772-0_6 |
| Publisher version: | https://doi.org/10.1007/978-3-030-86772-0_6 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Argument strength, Probabilistic argumentation, Deductive argumentation, Defeasible logic |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10137299 |
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