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Verifying Proportionality in Temporal Voting

AAAI 2025 · Learning theory and algorithms › Submodular and game algorithms · approach: Committee voting rules · 2 citations (OpenAlex)

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Studies the complexity of verifying proportional representation axioms (JR, PJR, EJR and weak variants) in temporal voting, proving coNP-hardness, identifying tractable special cases, and showing GCR and an ILP can find EJR outcomes.

Problem

Verifying whether a given outcome of a temporal approval voting election satisfies justified representation axioms (JR, PJR, EJR and weak variants).

Approach

Shows temporal verification of JR/PJR/EJR is coNP-hard even with very few candidates, identifies polynomial cases (monotonic preferences, |P|=2 for JR under non-empty approvals), gives FPT/XP results, a two-stage greedy cohesive rule that always outputs EJR, and an ILP for EJR outcomes with extra constraints.

Key results

Measured effects reported in the paper

What was changedWhereMeasuredEffect
Restrict preferences to be monotonicTemporal election verification · Monotonic electionsverification complexityHelped
Parameterize verification by the number of voters nTemporal election verification · General temporal electionsparameterized complexityHelped
Parameterize verification by the combined parameter (m, ℓ)Temporal election verification · General temporal electionsparameterized complexityHelped
Parameterize verification by the number of rounds ℓWeak JR, weak PJR, and weak EJR verification · General temporal electionsparameterized complexityHurt
Restrict the candidate set to |P| = 2JR, PJR, and EJR verification · General temporal electionsverification complexityHurt
Restrict the candidate set to |P| = 2Weak JR verification · General temporal electionsverification complexityHelped
Restrict the candidate set to |P| = 2 and require all approval sets to be non-emptyJR verification · Temporal elections with non-empty approval setsverification complexityHelped
Require all approval sets to be non-emptyJR, PJR, and EJR verification · General temporal electionsverification complexityHurt
Use the 2-Stage Greedy Cohesive RuleTemporal elections · EJR outcome constructionEJR guaranteeHelped
Move from the offline setting to the semi-online settingTemporal EJR outcome selection · Semi-online temporal votingexistence of an EJR-satisfying ruleHurt

Surprising findings

Limitations

Experimental setup

Baselines: PAV ls-PAV Method of Equal Shares

Builds on: Justified representation (JR) Extended justified representation (EJR) Greedy Cohesive Rule Perpetual voting (Bulteau et al.)

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