Guide to Numerical Experiments on Elections in Computational Social Choice
Computer Science and Game Theory
2024-02-20 v1
Abstract
We analyze how numerical experiments regarding elections were conducted within the 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 used for 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.
Cite
@article{arxiv.2402.11765,
title = {Guide to Numerical Experiments on Elections in Computational Social Choice},
author = {Niclas Boehmer and Piotr Faliszewski and Łukasz Janeczko and Andrzej Kaczmarczyk and Grzegorz Lisowski and Grzegorz Pierczyński and Simon Rey and Dariusz Stolicki and Stanisław Szufa and Tomasz Wąs},
journal= {arXiv preprint arXiv:2402.11765},
year = {2024}
}