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20122024
most citedMeasuring Inconsistency in Probabilistic Knowledge Bases

40 citations · 56 across the 6 of their papers we have counts for

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cs.AI2024

Revisiting Vacuous Reduct Semantics for Abstract Argumentation (Extended Version)

Lydia Blümel, Matthias Thimm

We consider the notion of a vacuous reduct semantics for abstract argumentation frameworks, which, given two abstract argumentation semantics σ and τ, refines σ (base condition) by…

cs.AI2024

The Realizability of Revision and Contraction Operators in Epistemic Spaces

Kai Sauerwald, Matthias Thimm

This paper studies the realizability of belief revision and belief contraction operators in epistemic spaces. We observe that AGM revision and AGM contraction operators for epistem…

cs.AI2016

Proceedings of the Second Summer School on Argumentation: Computational and Linguistic Perspectives (SSA'16)

Sarah A. Gaggl, Matthias Thimm

This volume contains the thesis abstracts presented at the Second Summer School on Argumentation: Computational and Linguistic Perspectives (SSA'2016) held on September 8-12 in Pot…

cs.AI201410 cited

Probabilistic Argumentation with Epistemic Extensions and Incomplete Information

Anthony Hunter, Matthias Thimm

Abstract argumentation offers an appealing way of representing and evaluating arguments and counterarguments. This approach can be enhanced by a probability assignment to each argu…

cs.AI201240 cited

Measuring Inconsistency in Probabilistic Knowledge Bases

Matthias Thimm

This paper develops an inconsistency measure on conditional probabilistic knowledge bases. The measure is based on fundamental principles for inconsistency measures and thus provid…