IJCAI 2024poster9 citations
Guide to Numerical Experiments on Elections in Computational Social Choice
Niclas Boehmer, Piotr Faliszewski, Łukasz Janeczko, Andrzej Kaczmarczyk, Grzegorz Lisowski, Grzegorz Pierczyński, Simon Rey, Dariusz Stolicki
Abstract
We analyze how numerical experiments regarding elections were conducted within computational social choice literature (focusing on papers published in the IJCAI, AAAI, and AAMAS conferences). We analyze the sizes of the studied elections and the methods of generating preference data, thereby making previously hidden standards and practices explicit. In particular, we survey a number of statistical cultures for generating elections and their commonly used parameters.
Game Theory and Economic Paradigms: GTEP: Computational social choice
BibTeX
@inproceedings{ijcai2024p881,
title = {Guide to Numerical Experiments on Elections in Computational Social Choice},
author = {Boehmer, Niclas and Faliszewski, Piotr and Janeczko, Łukasz and Kaczmarczyk, Andrzej and Lisowski, Grzegorz and Pierczyński, Grzegorz and Rey, Simon and Stolicki, Dariusz and Szufa, Stanisław and Wąs, Tomasz},
booktitle = {Proceedings of the Thirty-Third International Joint Conference on
Artificial Intelligence, {IJCAI-24}},
publisher = {International Joint Conferences on Artificial Intelligence Organization},
editor = {Kate Larson},
pages = {7962--7970},
year = {2024},
month = {8},
note = {Survey Track},
doi = {10.24963/ijcai.2024/881},
url = {https://doi.org/10.24963/ijcai.2024/881},
}