AI in Science and Engineering: Proportionality in Multiwinner Voting
Edith Elkind (Northwestern University) presents recent advancements in defining and extending proportionality axioms for multiwinner voting systems, exploring algorithmic solutions and diverse applications in collective decision-making.
Theory & AlgosEconomicsGame Theory & Mechanism DesignAlgorithms & Data Structurescomputational social choicemulti-winner elections
Proportionality in Multiwinner Voting: Axioms, Algorithms, Applications
by Edith Elkind, Northwestern University
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