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A Neural-Symbolic Cognitive Agent for Online Learning and Reasoning.

, , , and . IJCAI, page 1653-1658. IJCAI/AAAI, (2011)

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Applying the connectionist inductive learning and logic programming system to power system diagnosis., , and . ICNN, page 121-126. IEEE, (1997)Learning to adapt requirements specifications of evolving systems., , , and . ICSE, page 856-859. ACM, (2011)Neuro-symbolic Representation of Logic Programs Defining Infinite Sets., , and . ICANN (1), volume 6352 of Lecture Notes in Computer Science, page 301-304. Springer, (2010)An Analysis-Revision Cycle to Evolve Requirements Specifications., , , and . ASE, page 354-358. IEEE Computer Society, (2001)Neuro-Symbolic Probabilistic Argumentation Machines., , and . KR, page 871-881. (2020)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)Multi-instance learning using recurrent neural networks., and . IJCNN, page 1-6. IEEE, (2012)Neural-symbolic cognitive agents: architecture, theory and application., , , and . AAMAS, page 1621-1622. IFAAMAS/ACM, (2014)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)