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相关论文: Dividing goods or bads under additive utilities

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The Adjusted Winner (AW) method is a fundamental procedure for the fair division of indivisible resources between two agents. However, its reliance on splitting resources can lead to practical complications. To address this limitation, we…

计算机科学与博弈论 · 计算机科学 2026-02-13 Robert Bredereck , Bin Sun , Eyal Briman , Nimrod Talmon

Ann likes oranges much more than apples; Bob likes apples much more than oranges. Tomorrow they will receive one fruit that will be an orange or an apple with equal probability. Giving one half to each agent is fair for each realization of…

计算机科学与博弈论 · 计算机科学 2021-01-12 Anna Bogomolnaia , Herve Moulin , Fedor Sandomirskiy

We study economies where consumers interact independently with many monopolists. When consumer valuations over goods are correlated, correlation can distort the induced distribution of consumer surplus (information rents). We identify which…

理论经济学 · 经济学 2026-05-29 Eric Gao , Daniel Luo

A monopolist offers personalized prices to consumers with unit demand, heterogeneous values, and idiosyncratic costs, who differ in a protected characteristic, such as race or gender. The seller is subject to a non-discrimination…

理论经济学 · 经济学 2025-06-27 Philipp Strack , Kai Hao Yang

Designing efficient and fair algorithms for sharing multiple resources between heterogeneous demands is becoming increasingly important. Applications include compute clusters shared by multi-task jobs and routers equipped with middleboxes…

网络与互联网体系结构 · 计算机科学 2014-10-06 Thomas Bonald , James Roberts

We study $n$-dimensional contests between two players with heterogeneous effort costs, where each dimension (battle) is modeled as a Tullock contest. Prize-allocation rules are identity-independent, budget-balanced, and weakly increasing in…

理论经济学 · 经济学 2026-03-31 Siyuan Fan , Zhonghong Kuang , Jingfeng Lu

Two simple and attractive mechanisms for the fair division of indivisible goods in an online setting are LIKE and BALANCED LIKE. We study some fundamental computational problems concerning the outcomes of these mechanisms. In particular, we…

计算机科学与博弈论 · 计算机科学 2020-06-30 Martin Aleksandrov , Toby Walsh

In many markets, like electricity or cloud computing markets, providers incur large costs for keeping sufficient capacity in reserve to accommodate demand fluctuations of a mostly fixed user base. These costs are significantly affected by…

计算机科学与博弈论 · 计算机科学 2020-04-07 Ludwig Dierks , Sven Seuken

In fair division problems, the notion of price of fairness measures the loss in welfare due to a fairness constraint. Prior work on the price of fairness has focused primarily on envy-freeness up to one good (EF1) as the fairness…

计算机科学与博弈论 · 计算机科学 2023-07-14 Umang Bhaskar , Neeldhara Misra , Aditi Sethia , Rohit Vaish

We study fair allocation of indivisible goods among additive agents with feasibility constraints. In these settings, every agent is restricted to get a bundle among a specified set of feasible bundles. Such scenarios have been of great…

计算机科学与博弈论 · 计算机科学 2022-04-26 Amitay Dror , Michal Feldman , Erel Segal-Halevi

We apply competitive analysis onto the problem of minimizing the number of queries to an oracle to completely reconstruct a given monotone Boolean function. Besides lower and upper bounds on the competitivity we determine optimal…

数据结构与算法 · 计算机科学 2014-02-03 Sascha Kurz

Competition between traditional platforms is known to improve user utility by aligning the platform's actions with user preferences. But to what extent is alignment exhibited in data-driven marketplaces? To study this question from a…

计算机科学与博弈论 · 计算机科学 2023-01-18 Meena Jagadeesan , Michael I. Jordan , Nika Haghtalab

We consider fair allocations of indivisible goods to agents with general monotone valuations. We observe that it is useful to introduce a new share-based fairness notion, the {\em residual maximin share} (RMMS). This share is {\em feasible}…

计算机科学与博弈论 · 计算机科学 2025-07-01 Uriel Feige

We consider a discrete time competition model. Populations compete for common limited resources but they have different fertilities and mortalities rates. We compare dynamical properties of this model with its continuous counterpart. We…

动力系统 · 数学 2017-06-12 Ryszard Rudnicki

We study the problem of fairly allocating either a set of indivisible goods or a set of mixed divisible and indivisible goods (i.e., mixed goods) to agents with additive utilities, taking the best-of-both-worlds perspective of guaranteeing…

计算机科学与博弈论 · 计算机科学 2024-10-25 Xiaolin Bu , Zihao Li , Shengxin Liu , Xinhang Lu , Biaoshuai Tao

Resource competition is a fundamental interaction in natural communities.However little is known about competition in spatial environments where organisms are able to regulate resource distributions. Here, we analyze the competition of two…

种群与进化 · 定量生物学 2011-02-24 Alexei B. Ryabov , Bernd Blasius

We study the problem of allocating a finite estate among agents whose total claims exceed the available resources, a standard framework in the theory of claims problems. Two canonical rules embody competing fairness ideals: the Proportional…

理论经济学 · 经济学 2026-05-27 Anisha Bandyopadhyay , Sinan Ertemel , Rajnish Kumar , Saptarshi Mukherjee

We consider a fair division model in which agents have positive, zero and negative utilities for items. For this model, we analyse one existing fairness property - EFX - and three new and related properties - EFX$_0$, EFX$^3$ and EF1$^3$ -…

计算机科学与博弈论 · 计算机科学 2020-07-09 Martin Aleksandrov , Toby Walsh

The problem of fair division of indivisible goods has been receiving much attention recently. The prominent metric of envy-freeness can always be satisfied in the divisible goods setting (see for example \cite{BT95}), but often cannot be…

计算机科学与博弈论 · 计算机科学 2022-10-26 Kevin Hsu

We study the problem of fair and efficient allocation of a set of indivisible chores to agents with additive cost functions. We consider the popular fairness notion of envy-freeness up to one good (EF1) with the efficiency notion of…

计算机科学与博弈论 · 计算机科学 2021-10-20 Jugal Garg , Aniket Murhekar , John Qin
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