Abstract
Participatory Budgeting (PB) processes are usually designed to span several years, with referenda for new budget allocations taking place regularly. This paper presents a first formal framework for long-term PB, based on a sequence of budgeting problems as main input. We introduce a theory of fairness for this setting, focusing on three main concepts that apply to types (groups) of voters: (i) achieving equal welfare for all types, (ii) minimizing inequality of welfare (as measured by the Gini coefficient), and (iii) achieving equal welfare in the long run. For different notions of welfare, we investigate under which conditions these criteria can be satisfied, and analyze the computational complexity of verifying whether they hold.
Originalsprache | Englisch |
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Titel des Sammelwerks | Proceedings of the 30th International Joint Conference on Artificial Intelligence (IJCAI 2021) |
Untertitel des Sammelwerks | Montreal, 19-27 August 2021 |
Herausgeber*innen | Zhi-Hua Zhou |
Verlag | IJCAI |
Seiten | 299-305 |
Seitenumfang | 7 |
ISBN (elektronisch) | 9780999241196 |
DOIs | |
Publikationsstatus | Veröffentlicht - 2021 |
Extern publiziert | Ja |
Veranstaltung | 30th International Joint Conference on Artificial Intelligence, IJCAI 2021 - Virtual, Online, Kanada Dauer: 19 Aug. 2021 → 27 Aug. 2021 |
Publikationsreihe
Reihe | IJCAI International Joint Conference on Artificial Intelligence |
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ISSN | 1045-0823 |
Konferenz
Konferenz | 30th International Joint Conference on Artificial Intelligence, IJCAI 2021 |
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Land/Gebiet | Kanada |
Ort | Virtual, Online |
Zeitraum | 19/08/21 → 27/08/21 |
Bibliographische Notiz
Publisher Copyright:© 2021 International Joint Conferences on Artificial Intelligence. All rights reserved.