Publikation: How Should I Compute My Candidates? A T...
Stammdaten
Titel: | How Should I Compute My Candidates? A Taxonomy and Classification of Diagnosis Computation Algorithms |
Untertitel: | |
Kurzfassung: | Model-based diagnosis is a powerful, versatile and well-founded approach to troubleshooting a wealth of different types of systems. Diagnosis algorithms are both numerous and highly heterogeneous. In this work, we propose a taxonomy that allows their standardized assessment, classification and comparison. The aim is to (i) give researchers and practitioners an impression of the diverse landscape of available techniques, (ii) allow them to easily retrieve and compare the main features as well as pros and cons, and (iii) facilitate the selection of the “right” algorithm to adopt for a particular problem case, e.g., in practical diagnostic settings, for comparison in experimental evaluations, or for reuse, modification, extension, or improvement in the course of research. Finally, we demonstrate the value and application of the taxonomy by assessing and categorizing a range of more than 30 important diagnostic methods, and we point out how using the taxonomy as a common guideline for algorithm analysis would benefit the research community in various regards. |
Schlagworte: |
Publikationstyp: | Beitrag in Proceedings (Autorenschaft) |
Erscheinungsdatum: | 28.09.2023 (Print) |
Erschienen in: |
ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland - Including 12th Conference on Prestigious Applications of Intelligent Systems (PAIS 2023)
ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland - Including 12th Conference on Prestigious Applications of Intelligent Systems (PAIS 2023)
(
IOS Press;
K. Gal, A. Nowé, G. Nalepa, R. Fairstein, R. Radulescu
)
zur Publikation |
Titel der Serie: | Frontiers in Artificial Intelligence and Applications |
Bandnummer: | 372 |
Erstveröffentlichung: | Ja |
Version: | - |
Seite: | S. 1986 - 1993 |
Versionen
Keine Version vorhanden |
Erscheinungsdatum: | 28.09.2023 |
ISBN: |
|
ISSN: | 0922-6389 |
Homepage: | - |
Erscheinungsdatum: | 30.09.2023 |
ISBN (e-book): |
|
eISSN: | 1879-8314 |
DOI: | http://dx.doi.org/10.3233/faia230490 |
Homepage: | - |
Open Access |
|
Zuordnung
Organisation | Adresse | ||||
---|---|---|---|---|---|
Fakultät für Technische Wissenschaften
Institut für Artificial Intelligence und Cybersecurity
|
AT - A-9020 Klagenfurt |
Kategorisierung
Sachgebiete | |
Forschungscluster | Kein Forschungscluster ausgewählt |
Peer Reviewed |
|
Publikationsfokus |
Klassifikationsraster der zugeordneten Organisationseinheiten:
|
Arbeitsgruppen |
|
Kooperationen
Forschungsaktivitäten
(Achtung: Externe Aktivitäten werden im Suchergebnis nicht mitangezeigt)
Projekte: |
|
Publikationen: | Keine verknüpften Publikationen vorhanden |
Veranstaltungen: | Keine verknüpften Veranstaltung vorhanden |
Vorträge: |
|