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Understanding the abstract dialectical framework

Polberg, Sylwia ORCID: 2016. Understanding the abstract dialectical framework. Presented at: JELIA 2016, Larnaca, Cyprus, 9-11 Nov 2015. Published in: Michael, Loizos and Kakas, Antonis eds. Logics in Artificial Intelligence. Lecture Notes in Artificial Intelligence. , vol.10021 Cham, Switzerland: Springer Verlag, pp. 430-446. 10.1007/978-3-319-48758-8_28

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Among the most general structures extending the framework by Dung are the abstract dialectical frameworks (ADFs). They come equipped with various types of semantics, with the most prominent – the labeling–based one – being analyzed in the context of computational complexity, instantiations and software support. This makes the abstract dialectical frameworks valuable tools for argumentation. However, there are fewer results available concerning the relation between the ADFs and other argumentation frameworks. In this paper we would like to address this issue by introducing a number of translations from various formalisms into ADFs. The results of our study show the similarities and differences between them, thus promoting the use and understanding of ADFs. Moreover, our analysis also proves their capability to model many of the existing frameworks, including those that go beyond the attack relation. Finally, translations allow other structures to benefit from the research on ADFs in general and from the existing software in particular.

Item Type: Conference or Workshop Item (Paper)
Date Type: Publication
Status: Published
Schools: Computer Science & Informatics
Additional Information: This research was funded by project I1102 supported by the Austrian Science Fund FWF. The author is currently supported by EPSRC Project EP/N008294/1 'Framework for Computational Persuasion'.
Publisher: Springer Verlag
ISBN: 978-3-319-48757-1
ISSN: 0302-9743
Funders: Austrian Science Fund FWF, Engineering and Physical Sciences Research Council
Date of First Compliant Deposit: 12 March 2019
Date of Acceptance: 31 August 2016
Last Modified: 06 Nov 2023 18:16

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