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Improved Answer-Set Programming Encodings for Abstract Argumentation
July 23, 2015 Β· Declared Dead Β· π Theory and Practice of Logic Programming 15 (2015) 434-448
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Authors
Sarah A. Gaggl, Norbert Manthey, Alessandro Ronca, Johannes P. Wallner, Stefan Woltran
arXiv ID
1507.06689
Category
cs.AI: Artificial Intelligence
Citations
0
Venue
Theory and Practice of Logic Programming 15 (2015) 434-448
Last Checked
5 months ago
Abstract
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.
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