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Beyond Cake Cutting: Allocating Homogeneous Divisible Goods

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  • Ioannis Caragiannis
  • Vasilis Gkatzelis, Drexel University
  • ,
  • Alexandros Psomas, Purdue University
  • ,
  • Daniel Schoepflin, Drexel University

The problem of fair division known as “cake cutting” has been the focus of multiple papers spanning several decades. The most prominent problem in this line of work has been to bound the query complexity of computing an envy-free outcome in the Robertson-Webb query model. However, the root of this problem's complexity is somewhat artificial: the agents' values are assumed to be additive across different pieces of the “cake” but infinitely complicated within each piece. This is unrealistic in most of the motivating examples, where the cake represents a finite collection of homogeneous goods. We address this issue by introducing a fair division model that more accurately captures these applications: the value that an agent gains from a given good depends only on the amount of the good they receive, yet it can be an arbitrary function of this amount, allowing the agents to express preferences that go beyond standard cake cutting. In this model, we study the query complexity of computing allocations that are not just envy-free, but also approximately Pareto optimal among all envy-free allocations. Using a novel flow-based approach, we show that we can encode the ex-post feasibility of randomized allocations via a polynomial number of constraints, which reduces our problem to solving a linear program.

OriginalsprogEngelsk
TitelProceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2022)
Antal sider9
ForlagInternational Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)
Udgivelsesår2022
Sider208-216
ISBN (Elektronisk)9781713854333
StatusUdgivet - 2022
Begivenhed21st International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2022 - Auckland, Virtual, New Zealand
Varighed: 9 maj 202213 maj 2022

Konference

Konference21st International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2022
LandNew Zealand
ByAuckland, Virtual
Periode09/05/202213/05/2022
SerietitelProceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS
Vol/bind1
ISSN1548-8403

Bibliografisk note

Funding Information:
The second author was supported in part by an NSF CAREER award CCF-2047907 and NSF grant CCF-2008280. The third author was supported in part by a Google Research Scholar Award. The fourth author was supported in part by NSF grants CCF-2008280 and CCF-1755955. Part of this work was done while the last three authors were visiting the Simons Institute for the Theory of Computing.

Publisher Copyright:
© 2022 International Foundation for Autonomous Agents and Multiagent Systems (www.ifaamas.org). All rights reserved

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