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          <dc:title>Fusing Causality, Reasoning, and Learning for Fault Management and Diagnosis (Dagstuhl Seminar 24031)</dc:title>
          <dc:creator>Cimatti, Alessandro</dc:creator>
          <dc:creator>Pill, Ingo</dc:creator>
          <dc:creator>Diedrich, Alexander</dc:creator>
          <dc:subject>cyber-physical systems</dc:subject>
          <dc:subject>diagnosis</dc:subject>
          <dc:subject>fault detection and management</dc:subject>
          <dc:subject>integrative ai</dc:subject>
          <dc:subject>model-based reasoning</dc:subject>
          <dc:description>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.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Alessandro Cimatti and Ingo Pill and Alexander Diedrich</dc:contributor>
          <dc:date>2024</dc:date>
          <dc:relation>Is Part Of Dagstuhl Reports, Volume 14, Issue 1 (2024)</dc:relation>
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