Almost Envy-Free Allocations of Indivisible Goods or Chores with Entitlements

التفاصيل البيبلوغرافية
العنوان: Almost Envy-Free Allocations of Indivisible Goods or Chores with Entitlements
المؤلفون: Hajiaghayi, MohammadTaghi, Springer, Max, Yami, Hadi
سنة النشر: 2023
المجموعة: Computer Science
مصطلحات موضوعية: Computer Science - Computer Science and Game Theory, Computer Science - Data Structures and Algorithms
الوصف: We here address the problem of fairly allocating indivisible goods or chores to $n$ agents with weights that define their entitlement to the set of indivisible resources. Stemming from well-studied fairness concepts such as envy-freeness up to one good (EF1) and envy-freeness up to any good (EFX) for agents with equal entitlements, we present, in this study, the first set of impossibility results alongside algorithmic guarantees for fairness among agents with unequal entitlements. Within this paper, we expand the concept of envy-freeness up to any good or chore to the weighted context (WEFX and XWEF respectively), demonstrating that these allocations are not guaranteed to exist for two or three agents. Despite these negative results, we develop a WEFX procedure for two agents with integer weights, and furthermore, we devise an approximate WEFX procedure for two agents with normalized weights. We further present a polynomial-time algorithm that guarantees a weighted envy-free allocation up to one chore (1WEF) for any number of agents with additive cost functions. Our work underscores the heightened complexity of the weighted fair division problem when compared to its unweighted counterpart.
Comment: Appears in the 38th AAAI Conference on Artificial Intelligence (AAAI), 2024
نوع الوثيقة: Working Paper
URL الوصول: http://arxiv.org/abs/2305.16081
رقم الأكسشن: edsarx.2305.16081
قاعدة البيانات: arXiv