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Improved answer-set programming encodings for abstract argumentation

Published online by Cambridge University Press:  03 September 2015

SARAH A. GAGGL,
NORBERT MANTHEY,
ALESSANDRO RONCA,
JOHANNES P. WALLNER and
STEFAN WOLTRAN
SARAH A. GAGGL
Affiliation:
Technische Universität Dresden, Germany
NORBERT MANTHEY
Affiliation:
Technische Universität Dresden, Germany
ALESSANDRO RONCA
Affiliation:
La Sapienza, University of Rome
JOHANNES P. WALLNER
Affiliation:
University of Helsinki, Department of Computer Science, HIIT
STEFAN WOLTRAN
Affiliation:
Vienna University of Technology, Austria
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Abstract

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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.

Keywords

Answer-Set ProgrammingAbstract ArgumentationImplementationASPARTIX

Information

Type
Regular Papers
Information
Theory and Practice of Logic Programming , Volume 15 , Special Issue 4-5: 31st International Conference on Logic Programming , July 2015, pp. 434 - 448
Copyright
Copyright © Cambridge University Press 2015 

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