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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)Applying the connectionist inductive learning and logic programming system to power system diagnosis., , and . ICNN, page 121-126. IEEE, (1997)Deep Logic Networks: Inserting and Extracting Knowledge From Deep Belief Networks., and . IEEE Trans. Neural Networks Learn. Syst., 29 (2): 246-258 (2018)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)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)Inductive Learning in Shared Neural Multi-Spaces., , and . NeSy, volume 2003 of CEUR Workshop Proceedings, CEUR-WS.org, (2017)Measurable Counterfactual Local Explanations for Any Classifier., and . ECAI, volume 325 of Frontiers in Artificial Intelligence and Applications, page 2529-2535. IOS Press, (2020)Neural-Symbolic Learning and Reasoning (Dagstuhl Seminar 14381)., , , and . Dagstuhl Reports, 4 (9): 50-84 (2014)