activity
20152022
most citedTowards Inconsistency Measurement in Business Rule Bases

3 citations · 5 across the 5 of their papers we have counts for

collaborators

7 papers

cs.AI2022

Revisiting initial sets in abstract argumentation

Matthias Thimm

We revisit the notion of initial sets by Xu and Cayrol, i.e., non-empty minimal admissible sets in abstract argumentation frameworks. Initial sets are a simple concept for analysin…

cs.AI20212 cited

Fudge: A light-weight solver for abstract argumentation based on SAT reductions

Matthias Thimm, Federico Cerutti, Mauro Vallati

We present Fudge, an abstract argumentation solver that tightly integrates satisfiability solving technology to solve a series of abstract argumentation problems. While most of the…

cs.AI2021

Measuring Inconsistency over Sequences of Business Rule Cases

Carl Corea, Matthias Thimm, Patrick Delfmann

In this report, we investigate (element-based) inconsistency measures for multisets of business rule bases. Currently, related works allow to assess individual rule bases, however,…

cs.AI2020

Towards Ranking-based Semantics for Abstract Argumentation using Conditional Logic Semantics

Kenneth Skiba, Matthias Thimm

We propose a novel ranking-based semantics for Dung-style argumentation frameworks with the help of conditional logics. Using an intuitive translation for an argumentation framewor…

cs.AI20193 cited

Towards Inconsistency Measurement in Business Rule Bases

Carl Corea, Matthias Thimm

We investigate the application of inconsistency measures to the problem of analysing business rule bases. Due to some intricacies of the domain of business rule bases, a straightfo…

cs.AI2018

Epistemic Graphs for Representing and Reasoning with Positive and Negative Influences of Arguments

Anthony Hunter, Sylwia Polberg, Matthias Thimm

This paper introduces epistemic graphs as a generalization of the epistemic approach to probabilistic argumentation. In these graphs, an argument can be believed or disbelieved up…