Conference item
Truthful fair division without free disposal
- Abstract:
- We study the problem of fairly dividing a heterogeneous resource, commonly known as cake cutting and chore division, in the presence of strategic agents. While a number of results in this setting have been established in previous works, they rely crucially on the free disposal assumption, meaning that the mechanism is allowed to throw away part of the resource at no cost. In the present work, we remove this assumption and focus on mechanisms that always allocate the entire resource. We exhibit a truthful envy-free mechanism for cake cutting and chore division for two agents with piecewise uniform valuations, and we complement our result by showing that such a mechanism does not exist when certain additional assumptions are made. Moreover, we give truthful mechanisms for multiple agents with restricted classes of valuations.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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Access Document
- Files:
-
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(Preview, Accepted manuscript, pdf, 160.2KB, Terms of use)
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- Publisher copy:
- 10.24963/ijcai.2018/9
Authors
- Publisher:
- International Joint Conference on Artificial Intelligence Organization
- Host title:
- IJCAI 2018 Proceedings
- Journal:
- International Joint Conference on Artificial Intelligence More from this journal
- Volume:
- 2018
- Pages:
- 63-69
- Publication date:
- 2018-07-16
- Acceptance date:
- 2018-04-16
- DOI:
- ISSN:
-
1045-0823
- ISBN:
- 9780999241127
- Keywords:
- Pubs id:
-
pubs:922608
- UUID:
-
uuid:82fa3f82-f6a5-4503-a9e7-7b3820a361cb
- Local pid:
-
pubs:922608
- Source identifiers:
-
922608
- Deposit date:
-
2018-11-16
Terms of use
- Copyright holder:
- International Joint Conference on Artificial Intelligence Organization
- Copyright date:
- 2018
- Notes:
- Copyright © 2018 International Joint Conferences on Artificial Intelligence. This is a conference paper presented at International Joint Conferences on Artifical Intelligence (IJCAI), 13-19 July 2018, Stockholm, Sweden. This is the accepted manuscript version. The final version is available online from IJCAI at: https://doi.org/10.24963/ijcai.2018/9
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