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.
2015, THEORY AND PRACTICE OF LOGIC PROGRAMMING, Pages 434-448 (volume: 15)
Improved Answer-Set Programming Encodings for Abstract Argumentation (04c Atto di convegno in rivista)
GAGGL SARAH A., MANTHEY NORBERT, RONCA ALESSANDRO, WALLNER JOHANNES P., WOLTRAN STEFAN
Gruppo di ricerca: Artificial Intelligence and Knowledge Representation