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Results: 173
Number of items: 173
  • Open Access
    Botan, S., & Endriss, U. (2020). Majority-Strategyproofness in Judgment Aggregation. In AAMAS'20: proceedings of the 19th International Conference on Autonomous Agents and MultiAgent Systems : May 9-13, 2020, Auckland, New Zealand (pp. 186-194). International Foundation for Autonomous Agents and Multiagent Systems. http://www.ifaamas.org/Proceedings/aamas2020/pdfs/p186.pdf
  • Open Access
    Endriss, U. (2020). Analysis of One-to-One Matching Mechanisms via SAT Solving: Impossibilities for Universal Axioms. In AAAI-20, IAAI-20, EAAI-20 proceedings: Thirty-Fourth AAAI Conference on Artificial Intelligence, Thirty-Second Conference on Innovative Applications of Artificial Intelligence, The Tenth Symposium on Educational Advances in Artificial Intelligence : February 7–12th, 2020, New York Hilton Midtown, New York, New York, USA (Vol. 2, pp. 1918-1925). (Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 34). AAAI Press. https://doi.org/10.1609/aaai.v34i02.5561
  • 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
    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). 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). 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
    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
    Terzopoulou, Z., & Endriss, U. (2018). Modelling Iterative Judgment Aggregation. 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. 1234-1241). AAAI Press. https://ojs.aaai.org/index.php/AAAI/article/view/11440
  • 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
  • Open Access
    Endriss, U., & Grandi, U. (2018). Graph Aggregation. In The Web Conference 2018: companion of the World Wide Web Conference WWW2018 : April 23-27, 2018, Lyon, France (pp. 447-450). International World Wide Web Conferences Steering Committee. https://doi.org/10.1145/3184558.3186231
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