Shortlisting Rules and Incentives in an End-to-End Model for Participatory Budgeting
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence. Main Track. Pages 370-376.
https://doi.org/10.24963/ijcai.2021/52
Keywords
- Agent-based and Multi-agent Systems: Computational Social Choice
- Agent-based and Multi-agent Systems: Voting
Abstract
We introduce an end-to-end model for participatory
budgeting grounded in social choice theory. Our
model accounts for the interplay between the two
stages commonly encountered in real-life partici-
patory budgeting. In the first stage participants pro-
pose projects to be shortlisted, while in the second
stage they vote on which of the shortlisted projects
should be funded. Prior work of a formal nature has
focused on analysing the second stage only. We in-
troduce several shortlisting rules for the first stage
and analyse them in both normative and algorith-
mic terms. Our main focus is on the incentives of
participants to engage in strategic behaviour during
the first stage, in which they need to reason about
how their proposals will impact the range of strate-
gies available to everyone in the second stage.
@inproceedings{ijcai2021p52,
title = {Shortlisting Rules and Incentives in an End-to-End Model for Participatory Budgeting},
author = {Rey, Simon and Endriss, Ulle and de Haan, Ronald},
booktitle = {Proceedings of the Thirtieth International Joint Conference on
Artificial Intelligence, {IJCAI-21}},
publisher = {International Joint Conferences on Artificial Intelligence Organization},
editor = {Prof. Zhi-Hua Zhou},
pages = {370--376},
year = {2021},
month = {8},
note = {Main Track},
doi = {10.24963/ijcai.2021/52},
url = {https://doi.org/10.24963/ijcai.2021/52},
}
TY - CPAPER TI - Shortlisting Rules and Incentives in an End-to-End Model for Participatory Budgeting AU - Rey, Simon AU - Endriss, Ulle AU - de Haan, Ronald T2 - Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21 PB - International Joint Conferences on Artificial Intelligence Organization PY - 2021 SP - 370 EP - 376 DO - 10.24963/ijcai.2021/52 UR - https://doi.org/10.24963/ijcai.2021/52 ER -Copied
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