Participatory Budgeting Project Strength via Candidate Control
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence. Main Track. Pages 3821-3829.
https://doi.org/10.24963/ijcai.2025/425
Keywords
- Game Theory and Economic Paradigms: GTEP: Computational social choice
Abstract
We study the complexity of candidate control in participatory budgeting elections. The goal of constructive candidate control is to ensure that a given candidate wins by either adding or deleting candidates from the election (in the destructive setting, the goal is to prevent a given candidate from winning). We show that such control problems are NP-hard to solve for many participatory budgeting voting rules, including Phragmén and Equal-Shares, but there are natural cases with polynomial-time algorithms. We also argue that control by deleting candidates is a useful tool for assessing the performance (or, strength) of initially losing projects, and we support this view with experiments on real-life PB instances.
@inproceedings{ijcai2025p425,
title = {Participatory Budgeting Project Strength via Candidate Control},
author = {Faliszewski, Piotr and Janeczko, Łukasz and Knop, Dušan and Pokorný, Jan and Schierreich, Šimon and Słuszniak, Mateusz and Sornat, Krzysztof},
booktitle = {Proceedings of the Thirty-Fourth International Joint Conference on
Artificial Intelligence, {IJCAI-25}},
publisher = {International Joint Conferences on Artificial Intelligence Organization},
editor = {James Kwok},
pages = {3821--3829},
year = {2025},
month = {8},
note = {Main Track},
doi = {10.24963/ijcai.2025/425},
url = {https://doi.org/10.24963/ijcai.2025/425},
}
TY - CPAPER TI - Participatory Budgeting Project Strength via Candidate Control AU - Faliszewski, Piotr AU - Janeczko, Łukasz AU - Knop, Dušan AU - Pokorný, Jan AU - Schierreich, Šimon AU - Słuszniak, Mateusz AU - Sornat, Krzysztof T2 - Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, IJCAI-25 PB - International Joint Conferences on Artificial Intelligence Organization PY - 2025 SP - 3821 EP - 3829 DO - 10.24963/ijcai.2025/425 UR - https://doi.org/10.24963/ijcai.2025/425 ER -Copied
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