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  1. Aggregating Dependency Graphs into Voting Agendas in Multi-Issue Elections.Stephane Airiau, Ulle Endriss, Umberto Grandi, Daniele Porello & Joel Uckelman - 2011 - In Stephane Airiau, Ulle Endriss, Umberto Grandi, Daniele Porello & Joel Uckelman (eds.), {IJCAI} 2011, Proceedings of the 22nd International Joint Conference on Artificial Intelligence, Barcelona, Catalonia, Spain, July 16-22, 2011. pp. 18--23.
    Many collective decision making problems have a combinatorial structure: the agents involved must decide on multiple issues and their preferences over one issue may depend on the choices adopted for some of the others. Voting is an attractive method for making collective decisions, but conducting a multi-issue election is challenging. On the one hand, requiring agents to vote by expressing their preferences over all combinations of issues is computationally infeasible; on the other, decomposing the problem into several elections on smaller (...)
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  2.  19
    Portioning using ordinal preferences: Fairness and efficiency.Stéphane Airiau, Haris Aziz, Ioannis Caragiannis, Justin Kruger, Jérôme Lang & Dominik Peters - 2023 - Artificial Intelligence 314 (C):103809.
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  3. {IJCAI} 2011, Proceedings of the 22nd International Joint Conference on Artificial Intelligence, Barcelona, Catalonia, Spain, July 16-22, 2011.Stephane Airiau, Ulle Endriss, Umberto Grandi, Daniele Porello & Joel Uckelman (eds.) - 2011
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