Record link: 
http://hdl.handle.net/20.500.12708/231048
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Title: 
A multi-agent cognitive digital twin architecture with neurosymbolic diagnostic integration for railway maintenance
en
Citation: 
Mao, W., Scheffer, S. E., Erkoyuncu, J. A., Wang, X. V., Wang, L., Majumdar, A., & Namoano, D. B. (2026). A multi-agent cognitive digital twin architecture with neurosymbolic diagnostic integration for railway maintenance. JOURNAL OF INDUSTRIAL INFORMATION INTEGRATION, 53, 1–24. https://doi.org/10.1016/j.jii.2026.101165
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Publisher DOI: 
10.1016/j.jii.2026.101165
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Publication Type: 
Article - Original Research Article
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Language: 
English
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Authors: 
Mao, Wanting 
Scheffer, Sara Elisabeth 
Erkoyuncu, John Ahmet 
Wang, Xi Vincent 
Wang, Lihui 
Majumdar, Arnab 
Namoano, Dr Bernadin 
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Organisational Unit: 
E330-06-1 - Forschungsgruppe Logistik- und Qualitätsmanagement 
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Journal: 
JOURNAL OF INDUSTRIAL INFORMATION INTEGRATION 
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ISSN: 
2467-964X
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Date (published): 
2026
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Number of Pages: 
24
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Publisher: 
ELSEVIER
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Peer reviewed: 
Yes
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Keywords: 
Cognitive digital twin; Multi-agent system; Neurosymbolic reasoning; Human-in-the-loop; Railway fault diagnosis; Ontology
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Research Areas: 
Visual Computing and Human-Centered Technology: 20%
Computer Engineering and Software-Intensive Systems: 20%
Information Systems Engineering: 60%
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Science Branch: 
1020 - Informatik: 20%
5020 - Wirtschaftswissenschaften: 50%
2119 - Sonstige Technische Wissenschaften: 30%
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