Publications in Scientific Journals:

M. Diller, A. Keshavarzi Zafarghandi, T. Linsbichler, S. Woltran:
"Investigating subclasses of abstract dialectical frameworks";
Argument & Computation, 11 (2020), 1-2; 191 - 219.

English abstract:
Abstract dialectical frameworks (ADFs) are generalizations of Dung argumentation frameworks where arbitrary relationships among arguments can be formalized. This additional expressibility comes with the price of higher computational complexity, thus an understanding of potentially easier subclasses is essential. Compared to Dung argumentation frameworks, where several subclasses such as acyclic and symmetric frameworks are well understood, there has been no in-depth analysis for ADFs in such direction yet (with the notable exception of bipolar ADFs). In this work, we introduce certain subclasses of ADFs and investigate their properties. In particular, we show that for acyclic ADFs, the different semantics coincide. On the other hand, we show that the concept of symmetry is less powerful for ADFs and further restrictions are required to achieve results that are similar to the known ones for Dung´s frameworks. A particular such subclass (support-free symmetric ADFs) turns out to be closely related to argumentation frameworks with collective attacks (SETAFs); we investigate this relation in detail and obtain as a by-product that even for SETAFs symmetry is less powerful than for AFs. We also discuss the role of odd-length cycles in the subclasses we have introduced. Finally, we analyse the expressiveness of the ADF subclasses we introduce in terms of signatures.

Abstract argumentation, abstract dialectical frameworks, acyclic frameworks, symmetric frameworks, expressive

"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)

Related Projects:
Project Head Stefan Szeider:
DK - Logic

Project Head Johannes Peter Wallner:

Project Head Stefan Woltran:
Neue Werkzeuge für graphenbasierte formale Argumentation

Created from the Publication Database of the Vienna University of Technology.