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Results: 59
Number of items: 59
  • Open Access
    Dell'Anna, D., Murukannaiah, P. K., Yurrita, M., Dudzik, B., Grossi, D., Jonker, C. M., Oertel, C., & Yolum, P. (2026). From human teams to hybrid intelligence teams: identifying, characterizing, and evaluating foundational quality attributes. Autonomous Agents and Multi-Agent Systems, 40(1), Article 10. https://doi.org/10.1007/s10458-025-09730-8
  • Dell'Anna, D., Murukannaiah, P., Yurrita, M., Dudzik, B., Grossi, D., Jonker, C., Oertel, C., & Yolum, P. (2025, June 11). From Human Teams to Hybrid Intelligence Teams: Identifying, Characterizing, and Evaluating Foundational Quality Attributes - Supplementary Material [Data set]. Zenodo. https://doi.org/10.5281/zenodo.15640621
  • Open Access
    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
  • Open Access
    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
  • Open Access
    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
  • Open Access
    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
  • Open Access
    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
  • Open Access
    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
  • Open Access
    Airiau, S., Dupuis, N. K., & Grossi, D. (2024). Condorcet Markets. In G. Schäfer, & C. Ventre (Eds.), Algorithmic Game Theory: 17th International Symposium, SAGT 2024, Amsterdam, The Netherlands, September 3–6, 2024 : proceedings (pp. 501-519). (Lecture Notes in Computer Science; Vol. 15156). Springer. https://doi.org/10.1007/978-3-031-71033-9_28
  • Open Access
    Orzan, N., Acar, E., Grossi, D., & Rădulescu, R. (2024). Emergent Cooperation under Uncertain Incentive Alignment. In AAMAS '24: Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems : May 6-10, 2024, Auckland, New Zealand (pp. 1521-1530). International Foundation for Autonomous Agents and Multiagent Systems. https://www.ifaamas.org/Proceedings/aamas2024/pdfs/p1521.pdf
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