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Improved Answer-Set Programming Encoding...

Gaggl, Sarah A....

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Improved Answer-Set Programming Encodings for Abstract Argumentation by Gaggl, Sarah A. ( Author )

Content Provider	Lemonjar Open Access
Publisher	N.A
Publication Date	20-10-2015
Summary	The design of efficient solutions for abstract argumentation problems is a crucial step towards advanced argumentation systems. One of the most prominent approaches in the literature is to use Answer-Set Programming (ASP) for this endeavor. In this paper, we present new encodings for three prominent argumentation semantics using the concept of conditional literals in disjunctions as provided by the ASP-system clingo. Our new encodings are not only more succinct than previous versions, but also outperform them on standard benchmarks.
ISBN	-
Item Type	Article
File Type	pdf
File Size	36.88 KB
Language	English
Subjects	-
Unlimited	MYR 0.00
Total read	-
URL	https://arxiv.org/abs/1507.06689

Citation

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AMA 11th EditionReferences

Gaggl, Sarah A.. Improved Answer-Set Programming Encodings for Abstract Argumentation. N.A. October 20, 2015. Accessed August 17, 2025. https://online.provdatabase.com/cite/18822

APA 7th EditionReferences

Gaggl, Sarah A.. (2015). Improved Answer-Set Programming Encodings for Abstract Argumentation. N.A. https://online.provdatabase.com/cite/18822

Chicago 17th EditionReferences

Gaggl, Sarah A.. Improved Answer-Set Programming Encodings for Abstract Argumentation. N.A. 2015. https://online.provdatabase.com/cite/18822

HarvardReferences

Gaggl, Sarah A.. (2015). Improved Answer-Set Programming Encodings for Abstract Argumentation. [Online]. N.A. Available from: https://online.provdatabase.com/cite/18822. (Accessed 17 August 2025).

Harvard AustraliaReferences

Gaggl, Sarah A., 2015, Improved Answer-Set Programming Encodings for Abstract Argumentation, N.A, viewed 17 August 2025, <https://online.provdatabase.com/cite/18822>

MLA 9th EditionWorks Cited

Gaggl, Sarah A.. Improved Answer-Set Programming Encodings for Abstract Argumentation. N.A, 2015. PROV Database, https://online.provdatabase.com/cite/18822.

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