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Embedding Normative Reasoning into Neural Symbolic Systems.

, , , , and . NeSy, volume 764 of CEUR Workshop Proceedings, page 19-24. CEUR-WS.org, (2011)

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Connectionist computations of intuitionistic reasoning., , and . Theor. Comput. Sci., 358 (1): 34-55 (2006)Fat-Fast VG-RAM WNN: A high performance approach., , , , , , and . Neurocomputing, (2016)Deep Logic Networks: Inserting and Extracting Knowledge From Deep Belief Networks., and . IEEE Trans. Neural Networks Learn. Syst., 29 (2): 246-258 (2018)Runtime Verification Through Forward Chaining., , and . HCVS, volume 169 of EPTCS, page 68-81. (2014)Learning to adapt requirements specifications of evolving systems., , , and . ICSE, page 856-859. ACM, (2011)Improving VG-RAM Neural Networks Performance Using Knowledge Correlation., , , , , and . ICONIP (1), volume 4232 of Lecture Notes in Computer Science, page 427-436. Springer, (2006)Neural-symbolic cognitive agents: architecture, theory and application., , , and . AAMAS, page 1621-1622. IFAAMAS/ACM, (2014)Multi-instance learning using recurrent neural networks., and . IJCNN, page 1-6. IEEE, (2012)Neural-Symbolic Cognitive Reasoning, , and . Cognitive Technologies Springer, (2009)Continual Reasoning: Non-monotonic Reasoning in Neurosymbolic AI using Continual Learning., and . NeSy, volume 3432 of CEUR Workshop Proceedings, page 210-222. CEUR-WS.org, (2023)