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A General Theory of Proportionality with Additive Utilities

arXiv:2602.08504v1
Originality Highly original
AI Analysis

This work addresses fairness in multi-winner elections and participatory budgeting for voters with cardinal utilities, offering a novel extension beyond approval-based methods.

The paper tackles the problem of selecting a subset of candidates under general constraints using cardinal ballots, proposing proportional rules that also generate proportional rankings.

We consider a model where a subset of candidates must be selected based on voter preferences, subject to general constraints that specify which subsets are feasible. This model generalizes committee elections with diversity constraints, participatory budgeting (including constraints specifying how funds must be allocated to projects from different pools), and public decision-making. Axioms of proportionality have recently been defined for this general model, but the proposed rules apply only to approval ballots, where each voter submits a subset of candidates she finds acceptable. We propose proportional rules for cardinal ballots, where each voter assigns a numerical value to each candidate corresponding to her utility if that candidate is selected. In developing these rules, we also introduce methods that produce proportional rankings, ensuring that every prefix of the ranking satisfies proportionality.

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