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From Conflicts to Diagnoses: An Empirical Evaluation of Minimal Hitting Set Algorithms

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

Abstract

Using appropriate models, minimal hitting sets of a set of conflict sets can provide a sound foundation for diagnostic reasoning. Related diagnoses can explain encountered inconsistencies between expected and experienced behavior, so that a multitude of algorithms for computing such diagnoses have been developed. Motivated by a lack of a comparative study, in this paper, we evaluate a selection of relevant algorithms in the context of synthetic and real-world test scenarios
Original languageEnglish
Title of host publication22nd International Workshop on Principles of Diagnosis
Pages203-210
Publication statusPublished - 2011
Event22nd International Workshop on Principles of Diagnosis - Murnau, Deutschland
Duration: 4 Oct 20117 Oct 2011

Conference

Conference22nd International Workshop on Principles of Diagnosis
CityMurnau, Deutschland
Period4/10/117/10/11

Fields of Expertise

  • Information, Communication & Computing

Treatment code (Nähere Zuordnung)

  • Experimental
  • Basic - Fundamental (Grundlagenforschung)

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