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New fairness notions proposed for hierarchical resource allocation

Researchers have developed new adaptations of envy-based fairness notions for multilevel resource allocation problems with hierarchical agent relationships. The study proposes three adaptations and demonstrates that their effectiveness varies. It proves that under identical preferences, these adapted notions converge and are guaranteed by the Multilevel extension of Weighted Round Robin (MWRR). However, for general preferences, MWRR's guarantee is not consistent across all notions, though experimental results suggest it still performs well. AI

IMPACT Introduces novel theoretical frameworks for fair resource allocation in hierarchical systems, potentially impacting future AI agent coordination.

RANK_REASON The cluster contains a single academic paper detailing a new theoretical contribution to resource allocation algorithms. [lever_c_demoted from research: ic=1 ai=0.4]

Read on arXiv cs.MA (Multiagent) →

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New fairness notions proposed for hierarchical resource allocation

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The cluster contains a single academic paper detailing a new theoretical contribution to resource allocation algorithms. [lever_c_demoted from research: ic=1 ai=0.4]
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COVERAGE [2]

  1. arXiv cs.AI TIER_1 English(EN) · Maxime Lucet, Nawal Benabbou, Aur\'elie Beynier, Nicolas Maudet ·

    Multilevel Fair Allocation under Additive Preferences

    arXiv:2608.24400v1 Announce Type: cross Abstract: We study multilevel fair resource allocation with tree-structured hierarchical relations among agents. At each level, the problem can be viewed locally as allocating an agent's bundle to its children, the overall allocation being …

  2. arXiv cs.MA (Multiagent) TIER_1 English(EN) · Nicolas Maudet ·

    Multilevel Fair Allocation under Additive Preferences

    We study multilevel fair resource allocation with tree-structured hierarchical relations among agents. At each level, the problem can be viewed locally as allocating an agent's bundle to its children, the overall allocation being a trace of this process iterated down to the leave…