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Results: 173
Number of items: 173
  • Open Access
    Kluiving, B., de Vries, A., Vrijbergen, P., Boixel, A., & Endriss, U. (2020). Analysing Irresolute Multiwinner Voting Rules with Approval Ballots via SAT Solving. In G. De Giacomo, A. Catala, B. Dilkina, M. Milano, S. Barro, A. Bugarín, & J. Lang (Eds.), ECAI 2020: 24th European Conference on Artificial Intelligence : 29 August-8 September 2020, Santiago de Compostela, Spain, including 10th Conference on Prestigious Applications of Artificial Intelligence (PAIS 2020) : proceedings (pp. 131-138). (Frontiers in Artificial Intelligence and Applications; Vol. 325). IOS Press. https://doi.org/10.3233/FAIA200085
  • Open Access
    Boixel, A., & Endriss, U. (2020). Automated Justification of Collective Decisions via Constraint Solving. In AAMAS'20: proceedings of the 19th International Conference on Autonomous Agents and MultiAgent Systems : May 9-13, 2020, Auckland, New Zealand (pp. 168-176). International Foundation for Autonomous Agents and Multiagent Systems. http://www.ifaamas.org/Proceedings/aamas2020/pdfs/p168.pdf
  • Open Access
    Terzopoulou, Z., & Endriss, U. (2019). Rethinking the Neutrality Axiom in Judgment Aggregation. In N. Agmon, M. E. Taylor, E. Elkind, & M. Veloso (Eds.), 18th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2019): Montreal, Canada 13-17 May 2019 (Vol. 4, pp. 2212-2214). International Foundation for Autonomous Agents and Multiagent Systems. https://staff.fnwi.uva.nl/u.endriss/pubs/files/TerzopoulouEndrissAAMAS2019.pdf
  • Open Access
    Terzopoulou, Z., & Endriss, U. (2019). Optimal Truth-Tracking Rules for the Aggregation of Incomplete Judgments. In D. Fotakis, & E. Markakis (Eds.), Algorithmic Game Theory: 12th International Symposium, SAGT 2019, Athens, Greece, September 30-October 3, 2019 : proceedings (pp. 298-311). (Lecture Notes in Computer Science; Vol. 11801). Springer. https://doi.org/10.1007/978-3-030-30473-7_20
  • Open Access
    Terzopoulou, Z., & Endriss, U. (2019). Aggregating Incomplete Pairwise Preferences by Weight. In S. Kraus (Ed.), Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence: IJCAI-19 : Macao, 10-16 August 2019 (pp. 595-601). International Joint Conferences on Artificial Intelligence. https://doi.org/10.24963/ijcai.2019/84
  • Open Access
    Terzopoulou, Z., & Endriss, U. (2019). Strategyproof Judgment Aggregation under Partial Information. Social Choice and Welfare, 53(3), 415–442. https://doi.org/10.1007/s00355-019-01191-9
  • Open Access
    Chen, W., & Endriss, U. (2019). Preservation of Semantic Properties in Collective Argumentation: The Case of Aggregating Abstract Argumentation Frameworks. Artificial Intelligence, 269, 27-48. https://doi.org/10.1016/j.artint.2018.10.003
  • Open Access
    Döcker, J., Dorn, B., Endriss, U., de Haan, R., & Schneckenburger, S. (2018). Tool Auctions. In Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, Thirtieth Innovative Applications of Artificial Intelligence Conference, Eighth Symposium on Educational Advances in Artificial Intelligence: 2-7 February 2018, New Orleans, Louisiana, USA (pp. 1015-1022). AAAI Press. https://aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/17186
  • Open Access
    Endriss, U. (2018). Judgment Aggregation with Rationality and Feasibility Constraints. In M. Dastani, G. Sukthankar, E. André, & S. Koenig (Eds.), AAMAS '18: proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems : July 10-15, 2018, Stockholm, Sweden (Vol. 2, pp. 946-954). International Foundation for Autonomous Agents and Multiagent Systems. https://dl.acm.org/citation.cfm?id=3237840
  • Open Access
    Chen, W., & Endriss, U. (2018). Aggregating Alternative Extensions of Abstract Argumentation Frameworks: Preservation Results for Quota Rules. In S. Modgil, K. Budzynska, & J. Lawrence (Eds.), Computational Models of Argument: Proceedings of COMMA 2018 (pp. 425-436). (Frontiers in Artificial Intelligence and Applications; Vol. 305). IOS Press. https://doi.org/10.3233/978-1-61499-906-5-425
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