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Fair division of a graph

Abstract:
We consider fair allocation of indivisible items under an additional constraint: there is an undirected graph describing the relationship between the items, and each agent's share must form a connected subgraph of this graph. This framework captures, e.g., fair allocation of land plots, where the graph describes the accessibility relation among the plots. We focus on agents that have additive utilities for the items, and consider several common fair division solution concepts, such as proportionality, envy-freeness and maximin share guarantee. While finding good allocations according to these solution concepts is computationally hard in general, we design efficient algorithms for special cases where the underlying graph has simple structure, and/or the number of agents-or, less restrictively, the number of agent types-is small. In particular, despite non-existence results in the general case, we prove that for acyclic graphs a maximin share allocation always exists and can be found efficiently.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.24963/ijcai.2017/20

Authors


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Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Oxford college:
Balliol College
Role:
Author
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Institution:
University of Oxford
Division:
MPLS Division
Department:
Computer Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Computer Science
Role:
Author


Publisher:
AAAI Press / International Joint Conferences on Artificial Intelligence
Host title:
IJCAI'17: 26th International Joint Conference on Artificial Intelligence
Journal:
IJCAI'17: 26th International Joint Conference on Artificial Intelligence More from this journal
Pages:
135-141
Publication date:
2017-08-25
Acceptance date:
2017-04-24
Event start date:
2017-08-19
Event end date:
2017-08-25
DOI:
ISSN:
1045-0823
ISBN:
9780999241103


Pubs id:
pubs:742397
UUID:
uuid:d2e20786-3f41-4e4c-b420-cfcf24cc41d5
Local pid:
pubs:742397
Source identifiers:
742397
Deposit date:
2017-11-21

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