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Why Symbolic AI is a Key Technology for Self-Adaption in the Context of CPPS.

, , , , , , и . ETFA, стр. 1701-1704. IEEE, (2019)

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Task-fidelity Assessment for Programming Tasks Using Semantic Code Analysis., , , и . FIE, стр. 1-5. IEEE, (2023)Learned Abstraction: Knowledge Based Concept Learning for Cyber Physical Systems., , и . ML4CPS, стр. 43-51. Springer, (2017)A Nonconvex Archetypal Analysis for One-Class Classification Based Anomaly Detection in Cyber-Physical Systems., и . IEEE Trans. Ind. Informatics, 17 (9): 6429-6437 (2021)Vom modellbasierten Architekturentwurf über die Simulation verteilter Systeme zum Serienprojekt., и . Software Engineering (Workshops), том P-122 из LNI, стр. 108-112. GI, (2008)On a Uniform Causality Model for Industrial Automation., , , , и . CoRR, (2022)Reconfiguring Hybrid Systems Using SAT., и . CoRR, (2021)Data-driven Identification of Causal Dependencies in Cyber-Physical Production Systems., , , , и . ICAART (2), стр. 592-601. SciTePress, (2019)LSTM for Model-based Anomaly Detection in Cyber-Physical Systems., и . DX, том 2289 из CEUR Workshop Proceedings, CEUR-WS.org, (2018)Diagnosing Hybrid Cyber-Physical Systems using State-Space Models and Satisfiability Modulo Theory., и . DX, том 2289 из CEUR Workshop Proceedings, CEUR-WS.org, (2018)Learning Physically Meaningful Representations of Energy Systems with Variational Autoencoders., , , и . ETFA, стр. 1-6. IEEE, (2022)