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Number of items: 5
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Michailidis, D., Tasnim, M., Ghebreab, S., & Santos, F. P. (2025). A summary of: Tackling School Segregation with Transportation Network Interventions: An Agent-Based Modelling Approach. In Y. Vorobeychik, S. Das, & A. Nowe (Eds.), AAMAS '25: Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems : May 19-23, 2025, Detroit, Michigan, USA (pp. 3074-3076). International Foundation for Autonomous Agents and Multiagent Systems. https://www.ifaamas.org/Proceedings/aamas2025/pdfs/p3074.pdf -
Tasnim, M., Weesie, Y., Ghebreab, S., & Baak, M. (2025). Strategic Manipulation of Preferences in the Rank Minimization Mechanism: Extended Abstract. In Y. Vorobeychik, S. Das, & A. Nowe (Eds.), AAMAS '25: Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems : May 19-23, 2025, Detroit, Michigan, USA (pp. 3080-3082). International Foundation for Autonomous Agents and Multiagent Systems. https://www.ifaamas.org/Proceedings/aamas2025/pdfs/p3080.pdf -
Michailidis, D., Tasnim, M., Ghebreab, S., & Santos, F. P. (2024). Tackling school segregation with transportation network interventions: an agent-based modelling approach. Autonomous Agents and Multi-Agent Systems, 38(1), Article 22. https://doi.org/10.1007/s10458-024-09652-x -
Tasnim, M., Weesie, Y., Ghebreab, S., & Baak, M. (2024). Strategic manipulation of preferences in the rank minimization mechanism. Autonomous Agents and Multi-Agent Systems, 38(2), Article 44. https://doi.org/10.1007/s10458-024-09676-3 -
Michailidis, D., Tasnim, M., Ghebreab, S., & Santos, F. P. (2024). Towards Reducing School Segregation by Intervening on Transportation Networks. In F. Amigoni, & A. Sinha (Eds.), Autonomous Agents and Multiagent Systems. Best and Visionary Papers: AAMAS 2023 Workshops, London, UK, May 29-June 2, 2023 : revised selected papers (pp. 217-227). (Lecture Notes in Computer Science; Vol. 14456), (Lecture Notes in Artificial Intelligence). Springer. https://doi.org/10.1007/978-3-031-56255-6_12
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