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Prof. dr. U. (Ulle) Endriss

Faculty of Science
ILLC
Visiting address
  • Science Park 900
  • Room number: L6.33
Postal address
  • Postbus 94242
    1090 GE Amsterdam
Contact details
  • Homepage

    For full information, please refer to my personal homepage.

  • Publications

    2023

    • Maly, J., Rey, S., Endriss, U., & Lackner, M. (2023). Fairness in Participatory Budgeting via Equality of Resources. In AAMAS '23: Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems : May 29-June 2, 2023, London, UK (pp. 2031-2039). International Foundation for Autonomous Agents and Multiagent Systems. https://dl.acm.org/doi/10.5555/3545946.3598876 [details]
    • Rey, S., Endriss, U., & de Haan, R. (2023). A general framework for participatory budgeting with additional constraints. Social Choice and Welfare. Advance online publication. https://doi.org/10.1007/s00355-023-01462-6
    • Schmidtlein, M. C., & Endriss, U. (2023). Voting by Axioms. In Proceedings of the 22nd International Conference on Autonomous Agents and Multiagent Systems (AAMAS-2023) (pp. 2067-2075). International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS). https://www.ifaamas.org/Proceedings/aamas2023/pdfs/p2067.pdf

    2022

    • Boixel, A., Endriss, U., & Nardi, O. (2022). Displaying Justifications for Collective Decisions. In L. De Raedt (Ed.), Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence: IJCAI 2022, Vienna, Austria, 23-29 July 2022 (pp. 5892-5895). International Joint Conferences on Artificial Intelligence. https://doi.org/10.24963/ijcai.2022/847 [details]
    • 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. Advance online publication. https://doi.org/10.1609/aaai.v36i5.20414 [details]
    • 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 [details]
    • Endriss, U., Novaro, A., & Terzopoulou, Z. (2022). Representation Matters: Characterisation and Impossibility Results for Interval Aggregation. In L. De Raedt (Ed.), Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence: IJCAI 2022, Vienna, Austria, 23-29 July 2022 (pp. 286-292). International Joint Conferences on Artificial Intelligence. https://doi.org/10.24963/ijcai.2022/41 [details]
    • Motamed, N., Soeteman, A., Rey, S., & Endriss, U. (2022). Participatory Budgeting with Multiple Resources. In D. Baumeister, & J. Rothe (Eds.), Multi-Agent Systems: 19th European Conference, EUMAS 2022, Düsseldorf, Germany, September 14–16, 2022 : proceedings (pp. 330-347). (Lecture Notes in Computer Science; Vol. 13442), (Lecture Notes in Artificial Intelligence). Springer. https://doi.org/10.1007/978-3-031-20614-6_19 [details]
    • Nardi, O., Boixel, A., & Endriss, U. (2022). A Graph-Based Algorithm for the Automated Justification of Collective Decisions. In AAMAS '22: Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems : May 9-13, 2022, virtual event, New Zealand (Vol. 2, pp. 935-943). International Foundation for Autonomous Agents and Multiagent Systems. https://dl.acm.org/doi/10.5555/3535850.3535955 [details]
    • Schneckenburger, S., Dorn, B., & Endriss, U. (2022). Minimising inequality in multiagent resource allocation: Structural analysis of a distributed approach. Annals of Mathematics and Artificial Intelligence, 90(4), 339-371. https://doi.org/10.1007/s10472-022-09789-z [details]
    • Terzopoulou, Z., & Endriss, U. (2022). Strategic manipulation in judgment aggregation under higher-level reasoning. Theory and Decision, 92(2), 363-385. Advance online publication. https://doi.org/10.1007/s11238-021-09833-0 [details]

    2021

    • Botan, S., & Endriss, U. (2021). Preserving Condorcet Winners under Strategic Manipulation. 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. 5202-5210). (Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 35). AAAI Press. https://doi.org/10.1609/aaai.v35i6.16657 [details]
    • Endriss, U., Nowé, A., Dignum, F., & Lomuscio, A. (Eds.) (2021). AAMAS '21: Proceedings of the 20th International Conference on Autonomous Agents and MultiAgent Systems : May 3-7, 2021, virtual event, UK. International Foundation for Autonomous Agents and Multiagent Systems. https://www.ifaamas.org/Proceedings/aamas2021/ [details]
    • Rey, S., Endriss, U., & de Haan, R. (2021). Shortlisting Rules and Incentives in an End-to-End Model for Participatory Budgeting. In Z-H. Zhou (Ed.), Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence: IJCAI 2021, virtual event : Montreal, 19-27 August 2021 (pp. 370-376). International Joint Conferences on Artificial Intelligence. https://doi.org/10.24963/ijcai.2021/52 [details]
    • Terzopoulou, Z., & Endriss, U. (2021). The Borda class: An axiomatic study of the Borda rule on top-truncated preferences. Journal of Mathematical Economics, 92, 31-40. Advance online publication. https://doi.org/10.1016/j.jmateco.2020.11.001 [details]

    2020

    • 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 [details]
    • 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 [details]
    • 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 [details]
    • Endriss, U. (2020). Collective Information. 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. 9, pp. 13520-13524). (Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 34). AAAI Press. https://doi.org/10.1609/aaai.v34i09.7074 [details]
    • Endriss, U., de Haan, R., Lang, J., & Slavkovik, M. (2020). The Complexity Landscape of Outcome Determination in Judgment Aggregation. Journal of Artificial Intelligence Research, 69, 687–731. https://doi.org/10.1613/jair.1.11970 [details]
    • 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 [details]
    • Rey, S., Endriss, U., & de Haan, R. (2020). Designing Participatory Budgeting Mechanisms Grounded in Judgment Aggregation. In D. Calvanese, E. Erdem, & M. Thielscher (Eds.), KR2020 : Proceedings of the 17th International Conference on Principles of Knowledge Representation and Reasoning: Rhodes, Greece, September 12-18, 2020 (pp. 692-702). IJCAI. https://doi.org/10.24963/kr.2020/71 [details]
    • Terzopoulou, Z., & Endriss, U. (2020). Neutrality and Relative Acceptability in Judgment Aggregation. Social Choice and Welfare, 55(1), 25–49. Advance online publication. https://doi.org/10.1007/s00355-019-01230-5 [details]

    2019

    2018

    • 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 [details]
    • 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 [details]
    • 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 [details]
    • 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 [details]
    • 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 [details]

    2017

    2016

    2015

    • Cinà, G., & Endriss, U. (2015). A Syntactic Proof of Arrow's Theorem in a Modal Logic of Social Choice Functions. In AAMAS '15: proceedings of the 2015 International Conference on Autonomous Agents & Multiagent Systems : May, 4-8, 2015, Istanbul, Turkey (Vol. 2, pp. 1009-1017). International Foundation for Autonomous Agents and Multiagent Systems. http://www.aamas-conference.org/Proceedings/aamas2015/aamas/p1009.pdf [details]
    • Endriss, U., & de Haan, R. (2015). Complexity of the Winner Determination Problem in Judgment Aggregation: Kemeny, Slater, Tideman, Young. In AAMAS '15: proceedings of the 2015 International Conference on Autonomous Agents & Multiagent Systems : May, 4-8, 2015, Istanbul, Turkey (Vol. 1, pp. 117-125). International Foundation for Autonomous Agents and Multiagent Systems. http://www.aamas-conference.org/Proceedings/aamas2015/aamas/p117.pdf [details]
    • Endriss, U., de Haan, R., & Szeider, S. (2015). Parameterized Complexity Results for Agenda Safety in Judgment Aggregation. In AAMAS '15: proceedings of the 2015 International Conference on Autonomous Agents & Multiagent Systems : May, 4-8, 2015, Istanbul, Turkey (Vol. 1, pp. 127-136). International Foundation for Autonomous Agents and Multiagent Systems. http://www.aamas-conference.org/Proceedings/aamas2015/aamas/p127.pdf [details]

    2014

    • Airiau, S., & Endriss, U. (2014). Multiagent Resource Allocation with Sharable Items. Autonomous Agents and Multi-Agent Systems, 28(6), 956-985. Advance online publication. https://doi.org/10.1007/s10458-013-9245-x [details]
    • Cailloux, O., & Endriss, U. (2014). Eliciting a Suitable Voting Rule via Examples. In T. Schaub, G. Friedrich, & B. O'Sullivan (Eds.), ECAI 2014: 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic: including Prestigious Applications of Intelligent Systems (PAIS 2014): proceedings (pp. 183-188). (Frontiers in Artificial Intelligence and Applications; Vol. 263). IOS Press. https://doi.org/10.3233/978-1-61499-419-0-183 [details]
    • Endriss, U., & Grandi, U. (2014). Binary Aggregation by Selection of the Most Representative Voter. In Proceedings of the twenty-eighth AAAI Conference on Artificial Intelligence and the twenty-sixth Innovative Applications of Artificial Intelligence Conference: 27-31 July 2014, Québec City, Québec, Canada (Vol. 1, pp. 668-674). AAAI Press. http://www.aaai.org/ocs/index.php/AAAI/AAAI14/paper/view/8272 [details]
    • Endriss, U., & Grandi, U. (2014). Collective Rationality in Graph Aggregation. In T. Schaub, G. Friedrich, & B. O'Sullivan (Eds.), ECAI 2014: 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic: including Prestigious Applications of Intelligent Systems (PAIS 2014): proceedings (pp. 291-296). (Frontiers in Artificial Intelligence and Applications; Vol. 263). IOS Press. https://doi.org/10.3233/978-1-61499-419-0-291 [details]
    • Hashemi, V., & Endriss, U. (2014). Measuring Diversity of Preferences in a Group. In T. Schaub, G. Friedrich, & B. O'Sullivan (Eds.), ECAI 2014: 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic: including Prestigious Applications of Intelligent Systems (PAIS 2014): proceedings (pp. 423-428). (Frontiers in Artificial Intelligence and Applications; Vol. 263). IOS Press. https://doi.org/10.3233/978-1-61499-419-0-423 [details]
    • Kruger, J., Endriss, U., Fernández, R., & Qing, C. (2014). Axiomatic Analysis of Aggregation Methods for Collective Annotation. In A. Lomuscio, P. Scerri, A. Bazzan, & M. Huhns (Eds.), AAMAS '14: proceedings of the 2014 International Conference on Autonomous Agents & Multiagent Systems: May 5-9, 2014, Paris, France (pp. 1185-1192). International Foundation for Autonomous Agents and Multiagent Systems. https://dl.acm.org/citation.cfm?id=2617437 [details]
    • Porello, D., & Endriss, U. (2014). Ontology Merging as Social Choice: Judgment Aggregation under the Open World Assumption. Journal of Logic and Computation, 24(6), 1229-1249. https://doi.org/10.1093/logcom/exs056 [details]
    • Qing, C., Endriss, U., Fernández, R., & Kruger, J. (2014). Empirical Analysis of Aggregation Methods for Collective Annotation. In J. Tsujii, & J. Hajic (Eds.), COLING 2014: the 25th International Conference on Computational Linguistics: proceedings of COLING 2014 : technical papers: August 23-29, 2014, Dublin, Ireland (pp. 1533-1542). Association for Computational Linguistics. http://aclweb.org/anthology/C/C14/C14-1145.pdf [details]

    2013

    • Endriss, U. (2013). Reduction of Economic Inequality in Combinatorial Domains. In AAMAS'13: proceedings of the 2013 International Conference on Autonomous Agents & Multiagent Systems : May 6-10, 2013, St. Paul, MN, USA (Vol. 1, pp. 175-182). International Foundation for Autonomous Agents and Multiagent Systems. https://dl.acm.org/citation.cfm?id=2484951 [details]
    • Endriss, U. (2013). Sincerity and Manipulation under Approval Voting. Theory and Decision, 74(3), 335-355. Advance online publication. https://doi.org/10.1007/s11238-012-9301-z [details]
    • Endriss, U. (2013). Voting on Actions with Uncertain Outcomes. In P. Perny, M. Pirlot, & A. Tsoukiàs (Eds.), Algorithmic Decision Theory: Third International Conference, ADT 2013, Bruxelles, Belgium, November 12-14, 2013 : proceedings (pp. 167-180). (Lecture Notes in Computer Science; Vol. 8176), (Lecture Notes in Artificial Intelligence). Springer. https://doi.org/10.1007/978-3-642-41575-3_13 [details]
    • Endriss, U., & Fernández, R. (2013). Collective Annotation of Linguistic Resources: Basic Principles and a Formal Model. In P. Fung, & M. Poesio (Eds.), ACL 2013 : 51st Annual Meeting of the Association for Computational Linguistics: proceedings of the conference : August 4-9, 2013, Sofia, Bulgaria (Vol. 1, pp. 539-549). Association for Computational Linguistics. http://aclweb.org/anthology/P13-1053 [details]
    • Grandi, U., & Endriss, U. (2013). First-Order Logic Formalisation of Impossibility Theorems in Preference Aggregation. Journal of Philosophical Logic, 42(4), 595-618. Advance online publication. https://doi.org/10.1007/s10992-012-9240-8 [details]
    • Grandi, U., & Endriss, U. (2013). Lifting Integrity Constraints in Binary Aggregation. Artificial Intelligence, 199-200, 45-66. https://doi.org/10.1016/j.artint.2013.05.001 [details]
    • Wooldridge, M., Endriss, U., Kraus, S., & Lang, J. (2013). Incentive Engineering for Boolean Games. Artificial Intelligence, 195, 418-439. Advance online publication. https://doi.org/10.1016/j.artint.2012.11.003 [details]

    2012

    2011

    • Airiau, S., Endriss, U., Grandi, U., Porello, D., & Uckelman, J. (2011). Aggregating Dependency Graphs into Voting Agendas in Multi-Issue Elections. In T. Walsh (Ed.), IJCAI-11: proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence : Barcelona, Catalonia, Spain, 16-22 July 2011 (Vol. 1, pp. 18-23). AAAI Press/International Joint Conferences on Artificial Intelligence. https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-015 [details]
    • Endriss, U. (2011). Applications of Logic in Social Choice Theory: Invited talk. In J. Leite, P. Torroni, T. Ågotnes, G. Boella, & L. van der Torre (Eds.), Computational Logic in Multi-Agent Systems: 12th International Workshop, CLIMA XII, Barcelona, Spain, July 17-18, 2011 : proceedings (pp. 88-91). (Lecture Notes in Computer Science; Vol. 6814), (Lecture Notes in Artificial Intelligence). Springer. https://doi.org/10.1007/978-3-642-22359-4_7 [details]
    • Endriss, U. (2011). Logic and social choice theory. In J. van Benthem, & A. Gupta (Eds.), Logic and Philosophy Today; vol. 2 (pp. 333-378). (Studies in Logic; No. 30). College Publications. [details]
    • Endriss, U., Kraus, S., Lang, J., & Wooldridge, M. (2011). Designing Incentives for Boolean Games. In K. Turner, P. Yolum, L. Sonenberg, & P. Stone (Eds.), AAMAS 2011: the 10th International Conference on Autonomous Agents and Multiagent Systems : May 2-6, 2011, Taipei, Taiwan : proceedings (Vol. 1, pp. 79-86). IFAAMAS. https://dl.acm.org/citation.cfm?id=2030482 [details]
    • Endriss, U., Kraus, S., Lang, J., & Wooldridge, M. (2011). Incentive Engineering for Boolean Games. In T. Walsh (Ed.), IJCAI-11: proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence : Barcelona, Catalonia, Spain, 16-22 July 2011 (Vol. 3, pp. 2602-2607). AAAI Press/International Joint Conferences on Artificial Intelligence. https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-433 [details]
    • Geist, C., & Endriss, U. (2011). Automated Search for Impossibility Theorems in Social Choice Theory: Ranking Sets of Objects. Journal of Artificial Intelligence Research, 40, 143-174. https://doi.org/10.1613/jair.3126 [details]
    • Grandi, U., & Endriss, U. (2011). Binary Aggregation with Integrity Constraints. In T. Walsh (Ed.), IJCAI-11: proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence : Barcelona, Catalonia, Spain, 16-22 July 2011 (Vol. 1, pp. 204-209). AAAI Press/International Joint Conferences on Artificial Intelligence. https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-045 [details]
    • Klarman, S., Endriss, U., & Schlobach, S. (2011). ABox Abduction in the Description Logic ALC. Journal of Automated Reasoning, 46(1), 43-80. https://doi.org/10.1007/s10817-010-9168-z [details]
    • Porello, D., & Endriss, U. (2011). Ontology Merging as Social Choice. In J. Leite, P. Torroni, T. Ågotnes, G. Boella, & L. van der Torre (Eds.), Computational Logic in Multi-Agent Systems: 12th International Workshop, CLIMA XII, Barcelona, Spain, July 17-18, 2011 : proceedings (pp. 157-170). ( Lecture Notes in Computer Science; Vol. 6814), (Lecture Notes in Artificial Intelligence). Springer. https://doi.org/10.1007/978-3-642-22359-4_12 [details]

    2010

    • Airiau, S., & Endriss, U. (2010). Multiagent resource allocation with sharable items: simple protocols and Nash equilibria. In W. van der Hoek, G. A. Kaminka, Y. Lespérance, M. Luck, & S. Sen (Eds.), AAMAS 2010: the 9th International Conference on Autonomous Agents and Multiagent Systems, May 10-14, 2010, Toronto, Canada : conference proceedings (Vol. 1, pp. 167-174). IFAAMAS. https://dl.acm.org/citation.cfm?id=1838206.1838230 [details]
    • Bouveret, S., Endriss, U., & Lang, J. (2010). Fair division under ordinal preferences: computing envy-free allocations of indivisible goods. In H. Coelho, R. Studer, & M. Woolridge (Eds.), Proceedings of the 19th European Conference on Artificial Intelligence (ECAI-2010) (pp. 387-392). IOS Press. https://doi.org/10.3233/978-1-60750-606-5-387 [details]
    • Chevaleyre, Y., Endriss, U., & Maudet, N. (2010). Simple negotiation schemes for agents with simple preferences: sufficiency, necessity and maximality. Autonomous Agents and Multi-Agent Systems, 20(2), 234-259. https://doi.org/10.1007/s10458-009-9088-7 [details]
    • Endriss, U., Grandi, U., & Porello, D. (2010). Complexity of judgment aggregation: safety of the agenda. In W. van der Hoek, G. A. Kaminka, Y. Lespérance, M. Luck, & S. Sen (Eds.), AAMAS 2010: the 9th International Conference on Autonomous Agents and Multiagent Systems, May 10-14, 2010, Toronto, Canada : conference proceedings (Vol. 1, pp. 359-366). IFAAMAS. https://dl.acm.org/citation.cfm?id=1838257 [details]
    • Endriss, U., Grandi, U., & Porello, D. (2010). Complexity of winner determination and strategic manipulation in judgment aggregation. In V. Conitzer, & J. Rothe (Eds.), Proceedings of the 3rd International Workshop on Computational Social Choice (COMSOC-2010) (pp. 139-150). Institut für Informatik, Heinrich-Heine-Universität Düsseldorf. http://ccc.cs.uni-duesseldorf.de/COMSOC-2010/papers/comsoc2010.pdf [details]
    • Gionvannucci, A., Cerquides, J., Endriss, U., & Rodríguez-Aguilar, J. A. (2010). A graphical formalism for mixed multi-unit combinatorial auctions. Autonomous Agents and Multi-Agent Systems, 20(3), 342-368. https://doi.org/10.1007/s10458-009-9085-x [details]
    • Grandi, U., & Endriss, U. (2010). Lifting rationality assumptions in binary aggregation. In Proceedings of the Twenty-fourth AAAI Conference on Artificial Intelligence and the Twenty-second Innovative Applications of Artificial Intelligence Conference: 11-15 July, 2010, Atlanta, Georgia, USA. - Vol. 2 (pp. 780-785). AAAI Press. http://www.aaai.org/ocs/index.php/AAAI/AAAI10/paper/view/1592 [details]
    • Porello, D., & Endriss, U. (2010). Modelling combinatorial auctions in linear logic. In F. Lin, U. Sattler, & M. Truszczynski (Eds.), Proceedings of the 12th International Conference on the Principles of Knowledge Representation and Reasoning (KR-2010) (pp. 71-78). AAAI Press. http://aaai.org/ocs/index.php/KR/KR2010/paper/view/1264 [details]
    • Porello, D., & Endriss, U. (2010). Modelling multilateral negotiation in linear logic. In H. Coelho, R. Studer, & M. Woolridge (Eds.), Proceedings of the 19th European Conference on Artificial Intelligence (ECAI-2010) (pp. 381-386). IOS Press. https://doi.org/10.3233/978-1-60750-606-5-381 [details]
    • Ramezani, S., & Endriss, U. (2010). Nash social welfare in multiagent resource allocation. In E. David, E. Gerding, D. Sarne, & O. Shehory (Eds.), Agent-Mediated Electronic Commerce : Designing Trading Strategies and Mechanisms for Electronic Markets: AAMAS Workshop, AMEC 2009, Budapest, Hungary, May 12, 2009, and IJCAI Workshop, TADA 2009, Pasadena, CA, USA, July 13, 2009 : selected and revised papers (pp. 117-131). (Lecture Notes in Business Information Processing; Vol. 59). Springer. https://doi.org/10.1007/978-3-642-15117-0_9 [details]
    • Uckelman, J., & Endriss, U. (2010). Compactly representing utility functions using weighted goals and the max aggregator. Artificial Intelligence, 174(15), 1222-1246. https://doi.org/10.1016/j.artint.2010.07.003 [details]
    • Witzel, A., & Endriss, U. (2010). Time constraints in mixed multi-unit combinatorial auctions: Extended abstract. In W. van der Hoek, G. A. Kaminka, Y. Lespérance, M. Luck, & S. Sen (Eds.), AAMAS 2010: the 9th International Conference on Autonomous Agents and Multiagent Systems, May 10-14, 2010, Toronto, Canada : conference proceedings (Vol. 3, pp. 1487-1488). IFAAMAS. https://dl.acm.org/citation.cfm?id=1838445 [details]

    2009

    • Airiau, S., & Endriss, U. (2009). Iterated majority voting. In F. Rossi, & A. Tsoukias (Eds.), Algorithmic Decision Theory: First International Conference, ADT 2009, Venice, Italy, October 20-23, 2009 : proceedings (pp. 38-49). (Lecture Notes in Computer Science; Vol. 5783), (Lecture Notes in Artificial Intelligence). Springer. https://doi.org/10.1007/978-3-642-04428-1_4 [details]
    • Bouveret, S., Endriss, U., & Lang, J. (2009). Conditional importance networks: A graphical language for representing ordinal, monotonic preferences over sets of goods. In C. Boutilier (Ed.), IJCAI-09: proceedings of the Twenty-First International Joint Conference on Artificial Intelligence: Pasadena, California, USA, 11-17 July 2009 (pp. 67-72). AAAI Press. http://www.aaai.org/ocs/index.php/IJCAI/IJCAI-09/paper/view/547 [details]
    • Endriss, U., Pini, M. S., Rossi, F., & Venable, K. B. (2009). Preference aggregation over restricted ballot languages: Sincerity and strategy-proofness. In C. Boutilier (Ed.), IJCAI-09: proceedings of the Twenty-First International Joint Conference on Artificial Intelligence: Pasadena, California, USA, 11-17 July 2009 (pp. 122-127). AAAI Press. http://www.aaai.org/ocs/index.php/IJCAI/IJCAI-09/paper/view/364 [details]
    • Giovannucci, A., Cerquides, J., Endriss, U., Vinyals, M., Rodriguez, J. A., & Rosell, B. (2009). A mixed multi-unit combinatorial auctions test suite. In K. S. Decker, J. S. Sichman, C. Sierra, & C. Castelfranchi (Eds.), AAMAS 2009: the 8th International Conference on Autonomous Agents and Multiagent Systems: May 10-15, 2009, Budapest, Hungary: proceedings. - Volume 2 (pp. 1389-1390). IFAAMAS. http://portal.acm.org/citation.cfm?id=1558309 [details]
    • Grandi, U., & Endriss, U. (2009). First-order logic formalisation of Arrow’s Theorem. In X. He, J. Horty, & E. Pacuit (Eds.), Logic, Rationality, and Interaction: second international workshop, LORI 2009, Chongqing, China, October 8-11, 2009 : proceedings (pp. 133-146). (Lecture Notes in Computer Science; Vol. 5834), (Lecture Notes in Artificial Intelligence), (FoLLI Publications on Logic, Language and Information). Springer. https://doi.org/10.1007/978-3-642-04893-7_11 [details]
    • Mancarella, P., Terreni, G., Sadri, F., Toni, F., & Endriss, U. (2009). The CIFF proof procedure for abductive logic programming with constraints: Theory, implementation and experiments. Theory and Practice of Logic Programming, 9(6), 691-750. https://doi.org/10.1017/S1471068409990093 [details]
    • Uckelman, J., Chevaleyre, Y., Endriss, U., & Lang, J. (2009). Representing utility functions via weighted goals. Mathematical Logic Quarterly, 55(4), 341-361. https://doi.org/10.1002/malq.200810024 [details]

    2008

    2007

    • Cerquides, J., Endriss, U., Giovannucci, A., & Rodríguez-Aguilar, J. A. (2007). Bidding Languages and Winner Determination for Mixed Multi-unit Combinatorial Auctions. In Veloso, M. (Ed.), Proceedings of the 20th International Joint Conference on Artificial Intelligence (IJCAI-2007) (pp. 1221-1226). [details]
    • Chevaleyre, Y., Endriss, U., & Maudet, N. (2007). Allocating Goods on a Graph to Eliminate Envy. In Proceedings of the 22nd AAAI Conference on Artificial Intelligence (AAAI-2007) (pp. 700-705). AAAI Press. [details]
    • Chevaleyre, Y., Endriss, U., Estivie, S., & Maudet, N. (2007). Reaching Envy-free States in Distributed Negotiation Settings. In Veloso, M. (Ed.), Proceedings of the 20th International Joint Conference on Artificial Intelligence (IJCAI-2007) (pp. 1239-1244). [details]
    • Chevaleyre, Y., Endriss, U., Lang, J., & Maudet, N. (2007). A Short Introduction to Computational Social Choice. In Proceedings of the 33rd Conference on Current Trends in Theory and Practice of Computer Science (SOFSEM-2007) (pp. 51-69). (Lecture Notes in Computer Science; Vol. 4362). Springer. [details]
    • Endriss, U. (2007). Vote Manipulation in the Presence of Multiple Sincere Ballots. In Samet, D. (Ed.), Proceedings of the 11th Conference on Theoretical Aspects of Rationality and Knowledge (TARK 2007) (pp. 125-134). Louvain: presses universitaires de Louvain. [details]
    • Fernández, R., & Endriss, U. (2007). Abstract Models for Dialogue Protocols. Journal of Logic, Language and Information, 16(2), 121-140. [details]
    • Giovannucci, A., Rodríguez-Aguilar, J. A., Cerquides, J., & Endriss, U. (2007). Winner Determination for Mixed Multi-unit Combinatorial Auctions via Petri Nets. In Proceedings of the 6th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS-2007) (pp. 1-8). ACM Press. [details]
    • Giovannucci, A., Rodríguez-Aguilar, J. A., Vinyals, M., Cerquides, J., & Endriss, U. (2007). Mixed Multi-unit Combinatorial Auctions for Supply Chain Management. SIGecom Exchanges, 7(1), 58-60. [details]
    • Uckelman, J. D., & Endriss, U. (2007). Preference Representation with Weighted Goals: Expressivity, Succinctness, Complexity. In G. J. Junker, U. Doyle, J. (Ed.), Proceedings of the AAAI Workshop on Preference Handling for Artificial Intelligence (AiPref-2007) Vancouver, British Columbia. [details]

    2006

    • Bracciali, A., Demetriou, N., Endriss, U., Kakas, A., Lu, W., & Stathis, K. (2006). Crafting the Mind of PROSOCS Agents. Applied Artificial Intelligence, 20((2-4)), 105-131. https://doi.org/10.1080/08839510500479496 [details]
    • Chevaleyre, Y., Endriss, U., & Lang, J. (2006). Expressive Power of Weighted Propositional Formulas for Cardinal Preference Modelling. In P. Doherty, J. Mylopoulos, & C. Welty (Eds.), Proceedings of the 10th International Conference on Principles of Knowledge Representation and Reasoning (KR-2006) (pp. 145-152) [details]
    • Chevaleyre, Y., Endriss, U., & Maudet, N. (2006). Tractable Negotiation in Tree-structured Domains. In P. Stone, & G. Weiss (Eds.), Proceedings of the 5th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS-2006) (pp. 362-369). ACM Press. [details]
    • Chevaleyre, Y., Endriss, U., Lang, J., Dunne, P. E., Lemaitre, M., Maudet, N., ... Sousa, P. (2006). Issues in Multiagent Resource Allocation. Informatica, 30, 3-31. [details]
    • Endriss, U. (2006). Monotonic Concession Protocols for Multilateral Negotiation. In P. Stone, & G. Weiss (Eds.), Proceedings of the 5th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS-2006) (pp. 392-399). ACM Press. [details]
    • Endriss, U. (2006). Temporal Logics for Representing Agent Communication Protocols. Lecture Notes in Computer Science, 3859, 145-152. https://doi.org/10.1007/978-3-540-68143-4_2 [details]
    • Endriss, U., & Pacuit, E. J. (2006). Modal Logics of Negotiation and Preference. In M. Fisher, W. van der Hoek, B. Konev, & A. Lisitsa (Eds.), Proceedings of the 10th European Conference on Logics in Artificial Intelligence (JELIA-2006) (Vol. 4160, pp. 138-150). Springer-Verlag. [details]
    • Endriss, U., Maudet, N., Sadri, F., & Toni, F. (2006). Negotiating Socially Optimal Allocations of Resources. Journal of Artificial Intelligence Research, 25, 315-348. [details]
    • Estivie, S., Chevaleyre, Y., Endriss, U., & Maudet, N. (2006). How Equitable is Rational Negotiation? In P. Stone, & G. Weiss (Eds.), Proceedings of the 5th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS-2006) (pp. 866-873). ACM Press. [details]

    2005

    • Chevaleyre, Y., Dunne, P. E., Endriss, U., Lang, J., Maudet, N., & Rodríguez-Aguilar, J. A. (2005). Multiagent Resource Allocation. Knowledge Engineering Review, 20(2), 143-149. https://doi.org/10.1017/S0269888905000470 [details]
    • Chevaleyre, Y., Endriss, U., & Maudet, N. (2005). Maximal Classes of Utility Functions for Efficient one-to-one Negotiation: Extended Abstract. In K. Verbeeck, K. Tuyls, A. Nowé, B. Manderick, & B. Kuijpers (Eds.), BNAIC 2005: proceedings of the Seventeenth Belgium-Netherlands Conference on Artificial Intelligence, October 17-18, 2005 (pp. 331-332). (BNAIC; Vol. 17). Koninklijke Vlaamse Academie van België voor Wetenschappen en Kunsten. [details]
    • Chevaleyre, Y., Endriss, U., & Maudet, N. (2005). On Maximal Classes of Utility Functions for Efficient One-to-one Negotiation. In Proceedings of the 19th International Joint Conference on Artificial Intelligence (IJCAI-2005) Morgan Kaufmann Publishers. [details]
    • Chevaleyre, Y., Endriss, U., Lang, J., & Maudet, N. (2005). Negotiating over Small Bundles of Resources. In Proceedings of the 4th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS-2005) ACM Press. [details]
    • Endriss, U. (2005). Temporal Logics for Normative Agent Communication Protocols. In AAMAS 05 : the fourth International Joint Conference on Autonomous Agents and Multi Agent Systems: Utrecht University, the Netherlands, July 25-29, 2005 (pp. 1127-1128). ACM Press. https://doi.org/10.1145/1082473.1082656 [details]
    • Endriss, U., & Maudet, N. (2005). On the Communication Complexity of Multilateral Trading: Extended Report. Autonomous Agents and Multi-Agent Systems, 11(1), 91-107. https://doi.org/10.1007/s10458-005-1080-2 [details]
    • Estivie, S., Chevaleyre, Y., Endriss, U., & Maudet, N. (2005). Sur le Caractère Égalitaire de l'Allocation de Ressources Distribuée. In Journées Francophones sur les Systèmes Multi-Agents (JFSMA-2005) [details]

    2017

    • Endriss, U. (2017). Trends in Computational Social Choice. AI Access Foundation.

    2016

    2014

    • Endriss, U. (2014). Social Choice Theory as a Foundation for Multiagent Systems. In J. P. Müller, M. Weyrich, & A. L. C. Bazzan (Eds.), Multiagent System Technologies: 12th German Conference, MATES 2014, Stuttgart, Germany, September 23-25, 2014 : proceedings (pp. 1-6). (Lecture Notes in Computer Science; Vol. 8732), (Lecture Notes in Artificial Intelligence). Springer. https://doi.org/10.1007/978-3-319-11584-9_1 [details]

    2013

    • Brandt, F., Conitzer, V., & Endriss, U. (2013). Computational Social Choice. In G. Weiss (Ed.), Multiagent Systems (pp. 213-283). MIT Press.
    • Endriss, U. (2013). Computational Social Choice (with a Special Emphasis on the Use of Logic). In G. Bezhanishvili, S. Löbner, V. Marra, & F. Richter (Eds.), Logic, Language and Computation: 9th International Tbilisi Symposium on Logic, Language, and Computation, TbiLLC 2011, Kutaisi, Georgia, September 26-30, 2011 : revised selected papers (pp. 1-3). (Lecture Notes in Computer Science; Vol. 7758), (FoLLI Publications on Logic, Language and Information). Springer. https://doi.org/10.1007/978-3-642-36976-6_1 [details]
    • Endriss, U. (2013). Recent Developments in Collective Decision Making in Combinatorial Domains. In P. Bonizzoni, V. Brattka, & B. Löwe (Eds.), The Nature of Computation : Logic, Algorithms, Applications: 9th Conference on Computability in Europe, CiE 2013, Milan, Italy, July 1-5, 2013 : proceedings (pp. 123). (Lecture Notes in Computer Science; Vol. 7921). Springer. https://doi.org/10.1007/978-3-642-39053-1_14 [details]

    2011

    • Elkind, E., Endriss, U., & Lang, J. (2011). Proceedings of the IJCAI-2011 Workshop on Social Choice and Artificial Intelligence, Barcelona, 16 July 2011. ILLC prepublication. https://eprints.illc.uva.nl/id/document/1580

    2009

    2008

    2007

    2006

    • Baldoni, M., & Endriss, U. (2006). Declarative Agent Languages and Technologies IV. (Postproceedings of DALT-2006; No. 4327). LNAI: Springer-Verlag. [details]
    • Baldoni, M., Endriss, U., Omicini, A., & Torroni, P. (Eds.) (2006). Declarative Agent Languages and Technologies III: Third International Workshop, DALT 2005, Utrecht, The Netherlands, July 25, 2005 : selected and revised papers. (Lecture Notes in Computer Science; Vol. 3904), (Lecture Notes in Artificial Intelligence). Springer. https://doi.org/10.1007/11691792 [details]
    • Endriss, U., & Lang, J. (2006). Proceedings of the 1st International Workshop on Computational Social Choice (COMSOC-2006). Amsterdam, December 2006: ILLC-Universiteit van Amsterdam. [details]

    2021

    2016

    • Sandberg, J., Belleman, R., Bredeweg, B., Visser, A., Endriss, U., Roelofsen, F., Schaffner, C., van Schoot, T., Sluijter, B., & et al. (2016). Eindrapport VC3BI commissie. UvA, FNWI.

    2011

    2008

    2021

    2020

    2014

    • Endriss, U. (Author), & Fernandez Rovira, R. (Author). (2014). Collective Annotation: Unexpected Connections between Computational Linguistics and Voting Theory. Web publication or website, CNGL Blog. http://tinyurl.com/ca-coling

    2006

    • Endriss, U. (2006). COMSOC-2006 in Amsterdam. BNVKI Newsletter, 140-141.

    2005

    • Endriss, U., & Maudet, N. (2005). Multiagent Resource Allocation and Welfare Engineering. AgentLink News, 3-4.

    2015

    • Gieske, S., van der Pol, E., & Endriss, U. (2015). Empirical Evaluation of Collective Rationality for Quota Rules in Judgment Aggregation. Paper presented at 27th Benelux Conference on Artificial Intelligence , Hasselt, Belgium. [details]

    2013

    Prize / grant

    • Endriss, U. (2016). IJCAI-JAIR Best Paper Prize 2016.
    • Endriss, U. (2016). Best Paper Award.

    Media appearance

    Journal editor

    • Endriss, U. (programme committee member) (2016). 22nd European Conference on Artificial Intelligence (Event).
    • Endriss, U. (programme committee member) (2016). 15th International Conference on Autonomous Agents and Multiagent Systems (Event).
    • Endriss, U. (programme committee member) (2016). 25th International Joint Conference on Artificial Intelligence, (Event).
    • Endriss, U. (programme committee member) (2016). 15th International Conference on Principles of Knowledge Representation and Reasoning (KR-2016) (Event).
    • Endriss, U. (programme committee member) (2016). 30th AAAI Conference on Artificial Intelligence (Event).
    • Endriss, U. (editor) (2015-2050). Journal of Artificial Intelligence Research (Journal).
    • Endriss, U. (editor) (2013-). Artificial Intelligence (Journal).

    2020

    • Kluiving, B., de Vries, A., Vrijbergen, P., Boixel, A. & Endriss, U. (19-2-2020). Supplementary Material for "Analysing Irresolute Multiwinner Voting Rules with Approval Ballots via SAT Solving". Zenodo. https://doi.org/10.5281/zenodo.3675459

    2019

    • Endriss, U. (19-11-2019). Software and Data for "Analysis of One-to-One Matching Mechanisms via SAT Solving: Impossibilities for Universal Axioms". Zenodo. https://doi.org/10.5281/zenodo.3547826
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