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Results: 55
Number of items: 55
  • Open Access
    Botan, S., de Haan, R., Slavkovik, M., & Terzopoulou, Z. (2023). Egalitarian judgment aggregation. Autonomous Agents and Multi-Agent Systems, 37(1), Article 16. https://doi.org/10.1007/s10458-023-09598-6
  • Open Access
    Pinto Prieto, D., de Haan, R., & Özgün, A. (2023). A Belief Model for Conflicting and Uncertain Evidence: Connecting Dempster-Shafer Theory and the Topology of Evidence. In P. Marquis, T. C. Son, & G. Kern-Isberner (Eds.), Proceedings of the 20th International Conference on Principles of Knowledge Representation and Reasoning: Rhodes, Greece. September 2-8, 2023 (pp. 552-561). (KR; Vol. 2023). IJCAI. https://doi.org/10.24963/kr.2023/54
  • Aziz, H., Biró, P., Fleiner, T., Gaspers, S., de Haan, R., Mattei, N., & Rastegari, B. (2022). Stable Matching with Uncertain Pairwise Preferences. Theoretical Computer Science, 909, 1-11. https://doi.org/10.1016/j.tcs.2022.01.028
  • Open Access
    Pinto Prieto, D., & de Haan, R. (2022). Using hierarchies to efficiently combine evidence with Dempster's rule of combination. Proceedings of Machine Learning Research, 180, 1634-1643. https://openreview.net/forum?id=H3zMYwUsqeq
  • Open Access
    Chingoma, J., Endriss, U., & de Haan, R. (2022). Simulating Multiwinner Voting Rules in Judgment Aggregation. In AAMAS '22: Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems : May 9-13, 2022, virtual event, New Zealand (Vol. 1, pp. 263-271). International Foundation for Autonomous Agents and Multiagent Systems. https://dl.acm.org/doi/10.5555/3535850.3535881
  • Open Access
    Boixel, A., Endriss, U., & de Haan, R. (2022). A Calculus for Computing Structured Justifications for Election Outcomes. In K. Sycara, V. Honavar, & M. Spaan (Eds.), Proceedings of the 36th AAAI Conference on Artificial Intelligence: AAAI-22 : virtual conference, Vancouver, Canada, February 22-March 1, 2022 (Vol. 5, pp. 4859-4866). AAAI Press. https://doi.org/10.1609/aaai.v36i5.20414
  • Botan, S., de Haan, R., Slavkovik, M., & Terzopoulou, Z. (2021). Egalitarian Judgment Aggregation. In U. Endriss, A. Nowé, F. Dignum, & A. Lomuscio (Eds.), AAMAS '21: Proceedings of the 20th International Conference on Autonomous Agents and MultiAgent Systems : May 3-7, 2021, virtual event, UK (Vol. 1, pp. 214-222). International Foundation for Autonomous Agents and Multiagent Systems. https://www.ifaamas.org/Proceedings/aamas2021/pdfs/p214.pdf
  • Boixel, A., & de Haan, R. (2021). On the Complexity of Finding Justifications for Collective Decisions. In AAAI-21, IAAI-21, EAAI-21 proceedings: a virtual conference, February 2-9, 2021 : Thirty-Fifth AAAI Conference on Artificial Intelligence, Thirty-Third Conference on Innovative Applications of Articicial Intelligence, Eleventh Symposium on Educational Advances in Artificial Intelligence (Vol. 6, pp. 5194-5201). (Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 35). AAAI Press. https://doi.org/10.1609/aaai.v35i6.16656
  • Open Access
    Rich, P., Blokpoel, M., de Haan, R., Otworowska, M., Sweers, M., Wareham, T., & van Rooij, I. (2021). Naturalism, tractability and the adaptive toolbox. Synthese, 198(6), 5749–5784. https://doi.org/10.1007/s11229-019-02431-2
  • Open Access
    Rich, P., de Haan, R., Wareham, T., & van Rooij, I. (2021). How hard is cognitive science? In 43rd Annual Meeting of the Cognitive Science Society (CogSci 2021): Comparative Cognition Animal Minds : Vienna, Austria, 26-29 July 2021 (Vol. 5, pp. 3034-3040). (Proceedings of the Annual Meeting of the Cognitive Science Society; Vol. 43). Cognitive Science Society. https://escholarship.org/uc/item/8cr8x1c4
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