DagRep.14.1.25.pdf
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Fusing Causality, Reasoning, and Learning for Fault Management and Diagnosis (Dagstuhl Seminar 24031)
Authors and all authors of the abstracts in this report
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Issue:
Dagstuhl Reports, Volume 14, Issue 1
Volume: Dagstuhl Reports, Volume 14
Journal: Dagstuhl Reports (DagRep) - License:
Creative Commons Attribution 4.0 International license
- Publication Date: 2024-07-30
Cite AsGet BibTex
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)
https://doi.org/10.4230/DagRep.14.1.25
https://doi.org/10.4230/DagRep.14.1.25
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.
Subject Classification
ACM Subject Classification
- Computing methodologies → Artificial intelligence
- Theory of computation → Semantics and reasoning
- Theory of computation → Theory and algorithms for application domains
Keywords
- cyber-physical systems
- diagnosis
- fault detection and management
- integrative ai
- model-based reasoning
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