Abstract | ||
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We consider an alternative interpretation of classical Dung argumentation framework (AF) semantics by introducing the concept of "forbidden sets". In informal terms, such sets are well-defined with respect to any extension-based semantics and reflect those subsets of argument that collectively can never form part of an acceptable solution. The forbidden set paradigm thus provides a parametric treatment of extension-based semantics. We present some general properties of forbidden set structures and describe the interaction between forbidden sets for a number of classical semantics. Finally we establish some initial complexity results in the arena of forbidden set decision problems. |
Year | DOI | Venue |
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2016 | 10.3233/978-1-61499-686-6-275 | Frontiers in Artificial Intelligence and Applications |
Keywords | Field | DocType |
abstract argumentation frameworks,extension-based semantics,computational complexity | Computer science,Natural language processing,Artificial intelligence,Argumentation semantics | Conference |
Volume | ISSN | Citations |
287 | 0922-6389 | 0 |
PageRank | References | Authors |
0.34 | 0 | 1 |
Name | Order | Citations | PageRank |
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Paul E. Dunne | 1 | 1700 | 112.42 |