T
Thomas Linsbichler
Researcher at Vienna University of Technology
Publications - 37
Citations - 526
Thomas Linsbichler is an academic researcher from Vienna University of Technology. The author has contributed to research in topics: Argumentation theory & Semantics (computer science). The author has an hindex of 13, co-authored 36 publications receiving 462 citations.
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Characteristics of multiple viewpoints in abstract argumentation
TL;DR: This paper presents a formal basis for examining extension-based semantics in terms of the sets of extensions that these may express within a single AF and provides a number of characterization theorems which guarantee the existence of AFs whose set of extensions satisfy specific conditions and derive preliminary complexity results for decision problems that require such characterizations.
Proceedings Article
An extension-based approach to belief revision in abstract argumentation
TL;DR: In this paper, the revision of an abstract argumentation framework is proved to be representable by an argumentation semantics, using the concepts of realizability in argumentation and compliance as used in Horn revision.
Journal ArticleDOI
Design and results of the Second International Competition on Computational Models of Argumentation
TL;DR: This second edition of the Second International Competition on Computational Models of Argumentation maintains some of the design choices made in the first event, but introduces significant novelties, e.g. the I/O formats, the basic reasoning problems, and the organization into tasks and tracks.
Proceedings ArticleDOI
Compact argumentation frameworks
TL;DR: In this article, the authors introduce a subclass of argumentation frameworks called compact AFs, which are characterized by the feature that each argument of the AF occurs in at least one extension.
Posted Content
Compact Argumentation Frameworks
TL;DR: This work introduces a certain subclass of AFs which it is shown that compact AFs are indeed a non-trivial subclass, since the verification problem remains coNP-hard for certain semantics.