Publications
2024
Scholarly publications
Nouwens, J., Borg, A., & Prakken, H. (2024). An application of case-based reasoning to decision-making in Dutch administrative law. In J. Savelka, J. Harasta, T. Novotna, & J. Misek (Eds.), Legal Knowledge and Information Systems: The 37th Annual Conference (pp. 131-141). (Frontiers in Artificial Intelligence and Applications; Vol. 395). IOS Press. [DOI] [Portal]
Borg, A., & Bex, F. (2024). Minimality, necessity and sufficiency for argumentation and explanation. International Journal of Approximate Reasoning, 168, Article 109143. [DOI] [Repository]
2023
Scholarly publications
Zuurmond, S., Borg, A. M., Van Kempen, M., & Wieten, R. (2023). Human-Centred Explanation of Rule-Based Decision-Making Systems in the Legal Domain: Demonstration. In G. Sileno, J. Spanakis, & G. van Dijck (Eds.), Legal Knowledge and Information Systems - JURIX 2023: 36th Annual Conference (pp. 375-378). (Frontiers in Artificial Intelligence and Applications; Vol. 379). Berlin, IOS Press. [DOI] [Repository]
Odekerken, D., Borg, A., & Berthold, M. (2023). Accessible Algorithms for Applied Argumentation. 92-98. Paper presented at First International Workshop on Argumentation and Applications, Rhodos, Greece. [Repository]
Arieli, O., Borg, A., & Straßer, C. (2023). A postulate-driven study of logical argumentation. Artificial Intelligence, 322, Article 103966. [DOI] [Repository]
Odekerken, D., Lehtonen, T., Borg, A., Wallner, J. P., & Järvisalo, M. (2023). Argumentative Reasoning in ASPIC+ under Incomplete Information. In Proceedings of the 20th International Conference on Principles of Knowledge Representation and Reasoning (pp. 531-541). ijcai.org. [DOI] [Repository]
2022
Scholarly publications
Borg, A., & Bex, F. (2022). Modeling Contrastiveness in Argumentation. In Proceedings of the 22nd Workshop on Computational Models of Natural Argument (Vol. 3205, pp. 1-12). CEUR WS. https://ceur-ws.org/Vol-3205 [Repository]
van Lente, J., Borg, A., & Bex, F. (2022). Everyday Argumentative Explanations for Classification. In I. Kuhlmann, J. Mumford, & S. Sarkadi (Eds.), Argumentation & Machine Learning: Proceedings of the 1st Workshop on Argumentation & Machine Learning co-located with 9th International Conference on Computational Models of Argument (COMMA 2022) (Vol. 3208, pp. 14-26). (CEUR Workshop Proceedings; Vol. 3208). CEUR WS. http://ceur-ws.org/Vol-3208/paper2.pdf [Repository]
Arieli, O., Borg, A., Hesse, M., & Straßer, C. (2022). Explainable Logic-Based Argumentation. In F. Toni, S. Polberg, R. Booth, M. Caminada, & H. Kido (Eds.), Computational Models of Argument (pp. 32-43). (Frontiers in Artificial Intelligence and Applications; Vol. 353). IOS Press. [DOI] [Repository]
Odekerken, D., Borg, A., & Bex, F. (2022). Stability and Relevance in Incomplete Argumentation Frameworks. In F. Toni, S. Polberg, R. Booth, M. Caminada, & H. Kido (Eds.), Computational Models of Argument - Proceedings of COMMA 2022 (pp. 272-283). (Frontiers in Artificial Intelligence and Applications; Vol. 353). [DOI] [Repository]
Borg, A., & Odekerken, D. (2022). PyArg for solving and explaining rgumentation in python. In F. Toni, S. Polberg, R. Booth, M. Caminada, & H. Kido (Eds.), Computational Models of Argument - Proceedings of COMMA 2022 (pp. 349-350). (Frontiers in Artificial Intelligence and Applications; Vol. 353). [DOI] [Repository]
Odekerken, D., Bex, F., Borg, A., & Testerink, B. (2022). Approximating Stability for Applied Argument-based Inquiry. Intelligent Systems with Applications, 16, Article 200110. [DOI] [Repository]
Borg, A., & Bex, F. (2022). Contrastive Explanations for Argumentation-Based Conclusions. In AAMAS '22: Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems (pp. 1551-1553). (Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS; Vol. 3). Association for Computing Machinery. [DOI] [Repository]
2021
Scholarly publications
Borg, A., & Bex, F. (2021). Enforcing Sets of Formulas in Structured Argumentation. In M. Bienvenu, G. Lakemeyer, & E. Erdem (Eds.), Proceedings of the 18th International Conference on Principles of Knowledge Representation and Reasoning (pp. 130-140). International Joint Conferences on Artificial Intelligence Organization. [DOI] [Repository]
Arieli, O., Borg, A., & Straßer, C. (2021). Characterizations and Classifications of Argumentative Entailments. In Proceedings of the 18th International Conference on Principles of Knowledge Representation and Reasoning (pp. 52-62). ijcai.org. [DOI] [Repository]
Borg, A., & Bex, F. (2021). Explaining Arguments at the Dutch National Police. In V. Rodríguez-Doncel, M. Palmirani, M. Araszkiewicz, P. Casanovas, U. Pagallo, & G. Sartor (Eds.), AI Approaches to the Complexity of Legal Systems XI-XII: AICOL International Workshops 2018 and 2020: AICOL-XI@JURIX 2018, AICOL-XII@JURIX 2020, XAILA@JURIX 2020, Revised Selected Papers (pp. 183-197). (Lecture Notes in Computer Science; Vol. 13048). Springer. [DOI] [Repository]
Arieli, O., Borg, A., Heyninck, J., & Straßer, C. (2021). Logic-based approaches to formal argumentation. In D. Gabbay, M. Giacomin, G. R. Simari , & M. Thimm (Eds.), Handbook of Formal Argumentation, volume 2 College Publications.
Borg, A., & Bex, F. (2021). Necessary and Sufficient Explanations for Argumentation-Based Conclusions. In J. Vejnarová, & N. Wilson (Eds.), Symbolic and Quantitative Approaches to Reasoning with Uncertainty. ECSQARU 2021. (pp. 45-58). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12897 LNAI). Springer. [DOI] [Repository]
Borg, A., & Bex, F. (2021). A Basic Framework for Explanations in Argumentation. IEEE Intelligent Systems, 36(2), 25-35. Article 9329042. [DOI] [Repository]
Borg, A., Straßer, C., & Arieli, O. (2021). A Generalized Proof-Theoretic Approach to Logical Argumentation Based on Hypersequents. Studia Logica, 109(1), 167-238. [DOI] [Repository]
2020
Scholarly publications
Šešelja, D., Straßer, C., & Borg, A. (2020). Formal Models of Scientific Inquiry in a Social Context: An Introduction. Journal for General Philosophy of Science, 51, 211-217. [DOI] [Repository]
Arieli, O., Borg, A., & Straßer, C. (2020). Tuning Logical Argumentation Frameworks: A Postulate-Derived Approach. 557-562. https://aaai.org/ocs/index.php/FLAIRS/FLAIRS20/paper/view/18499/17652 [Repository]
Borg, A. (2020). Assumptive Sequent-Based Argumentation. IfCoLog Journal of Logics and their Applications, 7(3), 227-294. http://www.collegepublications.co.uk/downloads/ifcolog00039.pdf [Repository]
Odekerken, D., Borg, A., & Bex, F. J. (2020). Estimating Stability for Efficient Argument-based Inquiry. In Computational Models of Argument. Proceedings of COMMA 2020 (pp. 307-318). (Frontiers in Artificial Intelligence and Applications). IOS Press. [DOI] [Repository]