Conference item
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
Actions
Access Document
- Files:
-
-
(Preview, Accepted manuscript, pdf, 243.8KB, Terms of use)
-
- Publisher copy:
- 10.24963/ijcai.2017/20
Authors
- 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
Terms of use
- Copyright holder:
- International Joint Conferences on Artificial Intelligence
- Copyright date:
- 2017
- Notes:
- This paper was presented at IJCAI'17: 26th International Joint Conference on Artificial Intelligence, Melbourne, Australia, 19-25 August 2017. This is the accepted manuscript version of the article. The final version is available online at: [10.24963/ijcai.2017/20]
If you are the owner of this record, you can report an update to it here: Report update to this record