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Fair by design: Multidimensional envy-free mechanisms

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  • Mu'alem, Ahuva

Abstract

We address the common scenario where a group of agents wants to divide a set of items fairly, and at the same time seeks to optimize a global goal. Suppose that each item is a task and we want to find an allocation that minimizes the completion time of the last task in an envy-free manner, where no agent prefers anyone else's allocated task bundle over its own. This optimization goal is called makespan minimization, and the agents are often treated as machines. We give tight deterministic bounds for: (1) two unrelated machines; and (2) m≥2 related machines.

Suggested Citation

  • Mu'alem, Ahuva, 2014. "Fair by design: Multidimensional envy-free mechanisms," Games and Economic Behavior, Elsevier, vol. 88(C), pages 29-46.
    • Handle: RePEc:eee:gamebe:v:88:y:2014:i:c:p:29-46
    DOI: 10.1016/j.geb.2014.08.001
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    References listed on IDEAS

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    Cited by:

    1. Mu'alem, Ahuva & Schapira, Michael, 2018. "Setting lower bounds on truthfulness," Games and Economic Behavior, Elsevier, vol. 110(C), pages 174-193.

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    More about this item

    Keywords

    Envy-free allocations; Optimization; Profit maximization; Mechanism design;
    All these keywords.

    JEL classification:

    • D02 - Microeconomics - - General - - - Institutions: Design, Formation, Operations, and Impact
    • D40 - Microeconomics - - Market Structure, Pricing, and Design - - - General
    • C70 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - General
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis

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