Vorträge und Posterpräsentationen (mit Tagungsband-Eintrag):
M. Lackner, J. Maly, S. Rey:
"Fairness in Long-Term Participatory Budgeting";
Vortrag: IJCAI 2021 - 30th International Joint Conference on Artificial Intelligence,
Montreal, Canada;
19.08.2021
- 27.08.2021; in: "Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, {IJCAI} 2021, Virtual Event / Montreal, Canada, 19-27 August 2021",
(2021),
S. 299
- 305.
Kurzfassung englisch:
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. We investigate under which conditions these criteria can be satisfied, and analyze the computational complexity of verifying whether they hold
Schlagworte:
Agent-based and Multi-agent Systems: Computational Social Choice Agent-based and Multi-agent Systems: Voting
"Offizielle" elektronische Version der Publikation (entsprechend ihrem Digital Object Identifier - DOI)
http://dx.doi.org/10.24963/ijcai.2021/42
Zugeordnete Projekte:
Projektleitung Reinhard Pichler:
SuDeMa
Erstellt aus der Publikationsdatenbank der Technischen Universität Wien.