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Empirical evaluation of abstract argumentation: supporting the need for bipolar and probabilistic approaches

Polberg, Sylwia ORCID: and Hunter, Anthony 2018. Empirical evaluation of abstract argumentation: supporting the need for bipolar and probabilistic approaches. International Journal of Approximate Reasoning 93 , pp. 487-543. 10.1016/j.ijar.2017.11.009

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In dialogical argumentation, it is often assumed that the involved parties will always correctly identify the intended statements posited by each other and realize all of the associated relations, conform to the three acceptability states (accepted, rejected, undecided), adjust their views whenever new and correct information comes in, and that a framework handling only attack relations is sufficient to represent their opinions. Although it is natural to make these assumptions as a starting point for further research, dropping some of them has become quite challenging. Probabilistic argumentation is one of the approaches that can be harnessed for more accurate user modelling. The epistemic approach allows us to represent how much a given argument is believed or disbelieved by a given person, offering us the possibility to express more than just three agreement states. It comes equipped with a wide range of postulates, including those that do not make any restrictions concerning how initial arguments should be viewed. Thus, this approach is potentially more suitable for handling beliefs of the people that have not fully disclosed their opinions or counterarguments with respect to standard Dung's semantics. The constellation approach can be used to represent the views of different people concerning the structure of the framework we are dealing with, including situations in which not all relations are acknowledged or when they are seen differently than intended. Finally, bipolar argumentation frameworks can be used to express both positive and negative relations between arguments. In this paper we will describe the results of an experiment in which participants were asked to judge dialogues in terms of agreement and structure. We will compare our findings with the aforementioned assumptions as well as with the constellation and epistemic approaches to probabilistic argumentation and bipolar argumentation.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Computer Science & Informatics
Publisher: Elsevier
ISSN: 0888-613X
Funders: EPSRC Project EP/N008294/1 “Framework for Computational Persuasion
Date of First Compliant Deposit: 12 March 2019
Date of Acceptance: 18 November 2017
Last Modified: 17 Nov 2023 23:03

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