<div class="csl-bib-body">
<div class="csl-entry">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. <i>JOURNAL OF INDUSTRIAL INFORMATION INTEGRATION</i>, <i>53</i>, 1–24. https://doi.org/10.1016/j.jii.2026.101165</div>
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en
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ELSEVIER
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JOURNAL OF INDUSTRIAL INFORMATION INTEGRATION
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dc.subject
Cognitive digital twin
en
dc.subject
Multi-agent system
en
dc.subject
Neurosymbolic reasoning
en
dc.subject
Human-in-the-loop
en
dc.subject
Railway fault diagnosis
en
dc.subject
Ontology
en
dc.title
A multi-agent cognitive digital twin architecture with neurosymbolic diagnostic integration for railway maintenance
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dc.type
Article
en
dc.type
Artikel
de
dc.contributor.affiliation
Cranfield University, United Kingdom of Great Britain and Northern Ireland (the)
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dc.contributor.affiliation
KTH Royal Institute of Technology, Sweden
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dc.contributor.affiliation
KTH Royal Institute of Technology, Sweden
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dc.contributor.affiliation
Cranfield University, United Kingdom of Great Britain and Northern Ireland (the)
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1
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24
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Original Research Article
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101165
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E330-06-1 - Forschungsgruppe Logistik- und Qualitätsmanagement
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Cranfield University
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E194-01 - Forschungsbereich Software Engineering
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KTH Royal Institute of Technology
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Cranfield University
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E330-06 - Forschungsbereich Produktions- und Instandhaltungsmanagement
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E194 - Institut für Information Systems Engineering
