activity
20192022
most citedFrom Verification to Causality-based Explications

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

collaborators

8 papers

math.OC2022

The variance-penalized stochastic shortest path problem

Jakob Piribauer, Ocan Sankur, Christel Baier

The stochastic shortest path problem (SSPP) asks to resolve the non-deterministic choices in a Markov decision process (MDP) such that the expected accumulated weight before reachi…

cs.LO2022

On probability-raising causality in Markov decision processes

Christel Baier, Florian Funke, Jakob Piribauer +1

The purpose of this paper is to introduce a notion of causality in Markov decision processes based on the probability-raising principle and to analyze its algorithmic properties. T…

cs.LO20211 cited

Witnessing Subsystems for Probabilistic Systems with Low Tree Width

Simon Jantsch, Jakob Piribauer, Christel Baier

A standard way of justifying that a certain probabilistic property holds in a system is to provide a witnessing subsystem (also called critical subsystem) for the property. Computi…

cs.LO2021

Witnessing subsystems for probabilistic systems with low tree width

Simon Jantsch, Jakob Piribauer, Christel Baier

A standard way of justifying that a certain probabilistic property holds in a system is to provide a witnessing subsystem (also called critical subsystem) for the property. Computi…

cs.LO20214 cited

From Verification to Causality-based Explications

Christel Baier, Clemens Dubslaff, Florian Funke +4

In view of the growing complexity of modern software architectures, formal models are increasingly used to understand why a system works the way it does, opposed to simply verifyin…

cs.LO2021

Probabilistic causes in Markov chains

Christel Baier, Florian Funke, Simon Jantsch +2

The paper studies a probabilistic notion of causes in Markov chains that relies on the counterfactuality principle and the probability-raising property. This notion is motivated by…