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The Metric Distortion of Multiwinner Voting

AAAI 2022 · Multi-agent systems and games › Games and equilibria · approach: Fair division and coalition formation · 16 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Set the committee cost to the q-th closest selected alternative, with q ≤ k/3Multiwinner metric voting · Multiwinner metric distortiondistortion: distortion is unboundedHurt
Increase q into the range k/3 < q ≤ k/2Multiwinner metric voting · Multiwinner metric distortiondistortion: O(n); Ω(n)Mixed
Use PolarOpposites, selecting two agents' top-q setsMultiwinner metric voting · k/3 < q ≤ k/2distortion: 4n+1Helped
Increase q above k/2Multiwinner metric voting · Multiwinner metric distortiondistortion: 3Helped
Treat every k-sized committee as an alternative and apply a single-winner ruleMultiwinner metric voting · q > k/2distortion: 3Helped
Use randomized dictatorship to select an agent's top-k committeeMultiwinner metric voting · q > k/2distortion: 3-2/nHelped
Restrict the candidate committees to agents' top-k committees and apply Plurality-MatchingMultiwinner metric voting · q > k/2distortion: ≤ 9Helped
Use the constant-agent enumeration to include an optimal committee among the candidatesDeterministic polynomial-time multiwinner rule · q > k/2, constant ndistortion: 3Helped
Require the efficient reduction template to return polynomially many candidate committeesDeterministic polynomial-time multiwinner rule · q > k/2distortion: 1+2/e; 5.207Hurt

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