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Towards a Deeper Understanding of Concept Bottleneck Models Through End-to-End Explanation., , , and . CoRR, (2023)FF-NSL: Feed-Forward Neural-Symbolic Learner., , , and . CoRR, (2021)A Demonstration of Generative Policy Models in Coalition Environments., , , and . PAAMS, volume 11523 of Lecture Notes in Computer Science, page 242-245. Springer, (2019)Towards Neural-Symbolic Learning to support Human-Agent Operations., , , , and . FUSION, page 1-8. IEEE, (2021)Can we Constrain Concept Bottleneck Models to Learn Semantically Meaningful Input Features?, , , and . CoRR, (2024)The Role of Foundation Models in Neuro-Symbolic Learning and Reasoning., , , and . CoRR, (2024)Cybersecurity in Motion: A Survey of Challenges and Requirements for Future Test Facilities of CAVs., , , , , , , , , and 5 other author(s). CoRR, (2023)Generative Policies for Coalition Systems - A Symbolic Learning Framework., , , , , , , , , and 3 other author(s). ICDCS, page 1590-1600. IEEE, (2019)AGENP: An ASGrammar-based GENerative Policy Framework., , , , , , , and . PADG@ESORICS, volume 11550 of Lecture Notes in Computer Science, page 3-20. Springer, (2018)A Comparison Between Statistical and Symbolic Learning Approaches for Generative Policy Models., , , , , and . ICMLA, page 1314-1321. IEEE, (2019)