Search results
Results: 57
Number of items: 57
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Venema-Los, M., Christoff, Z., & Grossi, D. (2025). On the graph theory of majority illusions: theoretical results and computational experiments. Autonomous Agents and Multi-Agent Systems, 39(2), Article 39. https://doi.org/10.1007/s10458-025-09720-w -
de Mol, B., Barbieri, D., Viebahn, J., & Grossi, D. (2025). Centrally Coordinated Multi-Agent Reinforcement Learning for Power Grid Topology Control. In E-ENERGY '25: Proceedings of the 2025 16th ACM International Conference on Future and Sustainable Energy Systems : June 17-20, 2015, Rotterdam, Netherlands (pp. 460-475). Association for Computing Machinery. https://doi.org/10.1145/3679240.3734602 -
Orzan, N., Acar, E., Grossi, D., & Rădulescu, R. (2025). Learning in public goods games: the effects of uncertainty and communication on cooperation. Neural Computing and Applications, 37(23), 18899–18932. https://doi.org/10.1007/s00521-024-10530-6 -
Müller, M. A., & Grossi, D. (2024). Measuring the Impact of Arguments on Admissibility in Abstract Argumentation. In C. Reed, M. Thimm, & T. Rienstra (Eds.), Computational Models of Argument: Proceedings of COMMA 2024 (pp. 145-156). (Frontiers in Artificial Intelligence and Applications; Vol. 388). IOS Press. https://doi.org/10.3233/FAIA240317 -
Elkind, E., Grossi, D., Shapiro, E., & Talmon, N. (2024). United for change: deliberative coalition formation to change the status quo. Social Choice and Welfare, 63(3-4), 717-746. https://doi.org/10.1007/s00355-024-01561-y -
Dell'Anna, D., Murukannaiah, P. K., Dudzik, B., Grossi, D., Jonker, C. M., Oertel, C., & Yolum, P. (2024). Toward a Quality Model for Hybrid Intelligence Teams. In AAMAS '24: Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems : May 6-10, 2024, Auckland, New Zealand (pp. 434-443). International Foundation for Autonomous Agents and Multiagent Systems. https://dl.acm.org/doi/10.5555/3635637.3662893 -
Orzan, N., Acar, E., Grossi, D., Mannion, P., & Rădulescu, R. (2024). Learning in Multi-Objective Public Goods Games with Non-Linear Utilities. In U. Endriss, F. S. Melo, K. Bach, A. Bugarín-Diz, J. M. Alonso-Moral, S. Barro, & F. Heintz (Eds.), ECAI 2024: 27th European Conference on Artificial Intelligence, 19–24 October 2024, Santiago de Compostela, Spain : including 13th Conference on Prestigious Applications of Intelligent Systems (PAIS 2024) : proceedings (pp. 2749-2756). (Frontiers in Artificial Intelligence and Applications; Vol. 392). IOS Press. https://doi.org/10.3233/FAIA240809 -
Venema-Los, M., Christoff, Z., & Grossi, D. (2024). Limited Voting for Better Representation? In U. Endriss, F. S. Melo, K. Bach, A. Bugarín-Diz, J. M. Alonso-Moral, S. Barro, & F. Heintz (Eds.), ECAI 2024: 27th European Conference on Artificial Intelligence, 19–24 October 2024, Santiago de Compostela, Spain : including 13th Conference on Prestigious Applications of Intelligent Systems (PAIS 2024) : proceedings (pp. 3509-3516). (Frontiers in Artificial Intelligence and Applications; Vol. 392). IOS Press. https://doi.org/10.3233/FAIA240904 -
van Woerkom, W., Grossi, D., Prakken, H., & Verheij, B. (2024). A Fortiori Case-Based Reasoning: From Theory to Data. Journal of Artificial Intelligence Research, 81, 401-441. https://doi.org/10.1613/jair.1.15178 -
van Woerkom, W., Grossi, D., Prakken, H., & Verheij, B. (2024). A Case-Based-Reasoning Analysis of the COMPAS Dataset. In J. Savelka, J. Harasta, T. Novotna, & J. Misek (Eds.), Legal Knowledge and Information Systems: JURIX 2024: The Thirty-seventh Annual Conference, Brno, Czech Republic, 11-13 December 2024 (pp. 180-190). (Frontiers in Artificial Intelligence and Applications; Vol. 395). IOS Press. https://doi.org/10.3233/FAIA241244
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