IJCAI 2022poster19 citations
Understanding Distance Measures Among Elections
Niclas Boehmer, Piotr Faliszewski, Rolf Niedermeier, Stanisław Szufa, Tomasz Wąs
Abstract
Motivated by putting empirical work based on (synthetic) election data on a more solid mathematical basis, we analyze six distances among elections, including, e.g., the challenging-to-compute but very precise swap distance and the distance used to form the so-called map of elections. Among the six, the latter seems to strike the best balance between its computational complexity and expressiveness.
Agent-based and Multi-agent Systems: Computational Social Choice
BibTeX
@inproceedings{ijcai2022p15,
title = {Understanding Distance Measures Among Elections},
author = {Boehmer, Niclas and Faliszewski, Piotr and Niedermeier, Rolf and Szufa, Stanisław and Wąs, Tomasz},
booktitle = {Proceedings of the Thirty-First International Joint Conference on
Artificial Intelligence, {IJCAI-22}},
publisher = {International Joint Conferences on Artificial Intelligence Organization},
editor = {Lud De Raedt},
pages = {102--108},
year = {2022},
month = {7},
note = {Main Track},
doi = {10.24963/ijcai.2022/15},
url = {https://doi.org/10.24963/ijcai.2022/15},
}