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Fusing Causality, Reasoning, and Learning for Fault Management and Diagnosis (Dagstuhl Seminar 24031)

Authors: Alessandro Cimatti, Ingo Pill, and Alexander Diedrich

Published in: Dagstuhl Reports, Volume 14, Issue 1 (2024)


Abstract
This report documents the program and the outcomes of Dagstuhl Seminar "Fusing Causality, Reasoning, and Learning for Fault Management and Diagnosis" (24031). The goal of this Dagstuhl Seminar was to provide an interdisciplinary forum to discuss the fundamental principles of fault management and diagnosis, bringing together international researchers and practitioners from the fields of symbolic reasoning, machine learning, and control engineering.

Cite as

Alessandro Cimatti, Ingo Pill, and Alexander Diedrich. Fusing Causality, Reasoning, and Learning for Fault Management and Diagnosis (Dagstuhl Seminar 24031). In Dagstuhl Reports, Volume 14, Issue 1, pp. 25-48, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)


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@Article{cimatti_et_al:DagRep.14.1.25,
  author =	{Cimatti, Alessandro and Pill, Ingo and Diedrich, Alexander},
  title =	{{Fusing Causality, Reasoning, and Learning for Fault Management and Diagnosis (Dagstuhl Seminar 24031)}},
  pages =	{25--48},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2024},
  volume =	{14},
  number =	{1},
  editor =	{Cimatti, Alessandro and Pill, Ingo and Diedrich, Alexander},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.14.1.25},
  URN =		{urn:nbn:de:0030-drops-204899},
  doi =		{10.4230/DagRep.14.1.25},
  annote =	{Keywords: cyber-physical systems, diagnosis, fault detection and management, integrative ai, model-based reasoning}
}
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