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Fairness towards groups of agents in the allocation of indivisible items

Abstract:

In this paper, we study the problem of matching a set of items to a set of agents partitioned into types so as to balance fairness towards the types against overall utility/efficiency. We extend multiple desirable properties of indivisible goods allocation to our model and investigate the possibility and hardness of achieving combinations of these properties, e.g. we prove that maximizing utilitarian social welfare under constraints of typewise envy-freeness up to one item (TEF1) is ...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.24963/ijcai.2019/14

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Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Oxford college:
Balliol College
Role:
Author
Publisher:
Association for the Advancement of Artificial Intelligence Publisher's website
Host title:
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence
Journal:
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence
Pages:
95-101
Publication date:
2019-08-16
Acceptance date:
2019-05-10
DOI:
ISBN:
9780999241141
Keywords:
Pubs id:
pubs:1052513
UUID:
uuid:432558ef-c839-402b-a766-8e9142962dcf
Local pid:
pubs:1052513
Source identifiers:
1052513
Deposit date:
2019-09-09

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