The Communication Complexity of Instant-Runoff Voting
Proceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence. Main Track. Pages 3376-3384.
https://doi.org/10.24963/ijcai.2026/375
Keywords
- Game Theory and Economic Paradigms: Computational social choice
Abstract
The communication complexity of a voting rule is the worst-case number of bits that n voters must transmit to a central authority under the most efficient elicitation protocol in an election with m candidates. We study the communication complexity of Instant-Runoff Voting (IRV). Conitzer and Sandholm [2005] established an upper bound of O(n (log m)^2), but did not provide a matching lower bound beyond Omega(n log m). We resolve this open problem by raising the lower bound to Omega(n (log m)^2) using the fooling set technique, thereby showing that the communication complexity of IRV is Theta(n (log m)^2). We further show that this complexity drops to Theta(n log m) under the single-peakedness restriction, and that both the IRV-Average variant and Single Transferable Vote (STV), the multiwinner extension of IRV, have the same asymptotic communication complexity as IRV. (Extended version with appendices: https://shs.hal.science/hal-05566718. Short video: https://youtu.be/gTXV3R2DS6o.)
@inproceedings{ijcai2026p375,
title = {The Communication Complexity of Instant-Runoff Voting},
author = {de Panafieu, Élie and Durand, François and Lang, Jérôme},
booktitle = {Proceedings of the Thirty-Fifth International Joint Conference on
Artificial Intelligence, {IJCAI-26}},
publisher = {International Joint Conferences on Artificial Intelligence Organization},
editor = {Diego Calvanese},
pages = {3376--3384},
year = {2026},
month = {8},
note = {Main Track},
doi = {10.24963/ijcai.2026/375},
url = {https://doi.org/10.24963/ijcai.2026/375},
}
TY - CPAPER TI - The Communication Complexity of Instant-Runoff Voting AU - de Panafieu, Élie AU - Durand, François AU - Lang, Jérôme T2 - Proceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence, IJCAI-26 PB - International Joint Conferences on Artificial Intelligence Organization PY - 2026 SP - 3376 EP - 3384 DO - 10.24963/ijcai.2026/375 UR - https://doi.org/10.24963/ijcai.2026/375 ER -Copied
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