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  • A General Dialogue Framework for Logic-based Argumentation

    Ho, L. & Schlobach, S., 2024, ArgXAI 2024 Argumentation for eXplainable AI 2024: Proceedings of the 2nd International Workshop on Argumentation for eXplainable AI co-located with the 10th International Conference on Computational Models of Argument (COMMA 2024) Hagen, Germany, September 16, 2024. Kampik, T., Čyras, K., Rago, A. & Cocarascu, O. (eds.). CEUR-WS.org, p. 41-55 15 p. (CEUR Workshop Proceedings; vol. 3768).

    Research output: Chapter in Book / Report / Conference proceeding › Chapter › Academic › peer-review

    Open Access

  • Abstract Argumentation for Hybrid Intelligence Scenarios

    Ho, L., de Boer, V., van Riemsdijk, M. B., Schlobach, S. & Tielman, M. L., 2022, ArgXAI-22 Argumentation for eXplainable AI: 1st International Workshop on Argumentation for eXplainable AI co-located with 9th International Conference on Computational Models of Argument (COMMA 2022) Cardiff, Wales, September 12, 2022. Čyras, K., Kampik, T., Cocarascu, O. & Rago, A. (eds.). CEUR-WS, p. 1-15 15 p. (CEUR Workshop Proceedings; vol. 3209).

    Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

    Open Access

  • An argumentative approach for handling inconsistency in prioritized Datalog ± ontologies

    Ho, L., Arch-Int, S., Acar, E., Schlobach, S. & Arch-Int, N., 2022, In: AI Communications. 35, 3, p. 243-267 25 p.

    Research output: Contribution to Journal › Article › Academic › peer-review

    Open Access
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    142 Downloads (Pure)

  • Knowledge Representation Formalisms for Hybrid Intelligence

    Ho, L., 2021, p. 22-25. 4 p.

    Research output: Contribution to Conference › Paper › Academic