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A Probabilistic Approach to Voting, Allocation, Matching, and Coalition Formation

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arxiv 2002.10171 v1 pith:2NCGN7V2 submitted 2020-02-24 cs.GT

classification cs.GT
keywords allocationapplyingapproachescoalitionformationmatchingsettingsvoting
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Randomisation and time-sharing are some of the oldest methods to achieve fairness. I make a case that applying these approaches to social choice settings constitutes a powerful paradigm that deserves an extensive and thorough examination. I discuss challenges and opportunities in applying these approaches to settings including voting, allocation, matching, and coalition formation.

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Cited by 1 Pith paper

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    cs.DC 2025-02 conditional novelty 4.0 of 10

    ALTERMILP alternately fixes job assignment and job order/data placement, solving each subproblem with a standard MILP solver, and outperforms baseline heuristics on simulated grids.

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