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Strategyproof Matching of Roommates and Rooms

AAAI 2025 · Multi-agent systems and games › Games and equilibria · approach: Fair division and coalition formation · 0 citations (OpenAlex)

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Studies strategyproof matching of roommates to rooms under Leontief and additive utilities, showing that under binary Leontief utilities welfare-maximizing strategyproof mechanisms exist (exponential-time and FPT), alongside approximation bounds and impossibilities.

Problem

x

Approach

Models roommate-room preferences with Leontief (min) utilities to capture complementarity; shows that under binary valuations, a welfare-maximizing mechanism can be made strategyproof via a welfare-set reduction with agent-precedence tie-breaking, in contrast to the impossibility for additive utilities; also gives polynomial-time triangle-then-L greedy mechanisms with 1/3 welfare guarantees.

Key results

Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use Welfare Set Reduction to select among maximum-welfare matchingsRoommate-room matching with binary Leontief utilities · Binary Leontief utilitiessocial welfare: maximum welfareHelped
Use Precedence-Based Search with 3-Set PackingRoommate-room matching with binary Leontief utilities · Binary Leontief utilitiessocial welfare: maximum welfareHelped
Choose the highest-utility triple, preferring triangles over L-shapesRoommate matching · All utility types and unrestricted valuationssocial welfare approximation: \sfrac{1}{3}Helped
Use Triangle-then-L with deterministic tie-breakingRoommate matching mechanism · Binary Leontief utilitiesstrategyproof welfare approximation: \sfrac{1}{3}Helped
Use L/T Serial DictatorshipRoommate matching mechanism · Binary Leontief utilitiesstrategyproof welfare approximation: \sfrac{1}{6}Helped
Choose an agent-agent edge before an agent-room edgeNaive maximal matching · Binary symmetric Leontief utilitiessocial welfare approximation: 0 -> \sfrac{1}{6}Helped
Use a naive maximal matching from the preference graphRoommate matching · Binary Leontief utilitiessocial welfare approximation: 0Hurt
Use a 3-Set Packing approximation algorithmWelfare maximization in roommate matching · Leontief utilitiessocial welfare approximation: 0.559Helped
Use naive maximal matchingRoommate matching · Binary additive utilitiessocial welfare approximation: \sfrac{1}{4}Helped
Require strategyproofness under unrestricted valuationsAny mechanism with Leontief or additive utilities · Unrestricted valuationssocial welfare approximation: no non-zero approximationHurt
Require strategyproofness under binary additive valuationsAny mechanism · Binary additive utilitiessocial welfare approximation upper bound: \sfrac{2}{3}Hurt
Require strategyproofness under binary symmetric additive valuationsAny mechanism · Binary symmetric additive utilitiessocial welfare approximation upper bound: \sfrac{3}{4}Hurt

Surprising findings

Limitations

Experimental setup

Metrics: utilitarian social welfare approximation ratio strategyproofness

Baselines: additive-utility welfare algorithm (2/3-approximation) naive maximal matching naive serial dictatorship

Builds on: 3-set packing serial dictatorship

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