Abstract
The real-world deployment of fair allocation algorithms usually involves a heterogeneous population of users, which makes it challenging for the users to get complete knowledge of the allocation except for their own bundles. Recently, a new fairness notion, maximin-awareness (MMA) was proposed and it guarantees that every agent is not the worst-off one, no matter how the items that are not allocated to this agent are distributed. We adapt and generalize this notion to the case of indivisible chores and when the agents may have arbitrary weights. Due to the inherent difficulty of MMA, we also consider its up to one and up to any relaxations. A string of results on the existence and computation of MMA related fair allocations, and their connections to existing fairness concepts is given. © 2023 International Joint Conferences on Artificial Intelligence.
| Original language | English |
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| Title of host publication | Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence (IJCAI-23) |
| Editors | Edith Elkind |
| Publisher | International Joint Conferences on Artificial Intelligence |
| Pages | 2897-2905 |
| Number of pages | 9 |
| ISBN (Electronic) | 9781956792034 |
| DOIs | |
| Publication status | Published - Aug 2023 |
| Event | 32nd International Joint Conference on Artificial Intelligence (IJCAI 2023) - Sheraton Grand Macao, Macao, China Duration: 19 Aug 2023 → 25 Aug 2023 https://ijcai-23.org/ |
Publication series
| Name | IJCAI International Joint Conference on Artificial Intelligence |
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| Volume | 2023-August |
| ISSN (Print) | 1045-0823 |
Conference
| Conference | 32nd International Joint Conference on Artificial Intelligence (IJCAI 2023) |
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| Abbreviated title | IJCAI-23 |
| Place | Macao, China |
| Period | 19/08/23 → 25/08/23 |
| Internet address |
Funding
Bo Li is supported by NSFC under Grant No. 62102333, HKSAR RGC under Grant No. PolyU 25211321, and CCF-Huawei Populus Grove Fund. Minming Li is supported by the Fundamental Research Funds for the Central Universities. Bo Li is supported by NSFC under Grant No. 62102333, HKSAR RGC under Grant No. PolyU 25211321, and CCFHuawei Populus Grove Fund. Minming Li is supported by the Fundamental Research Funds for the Central Universities.
RGC Funding Information
- RGC-funded