Guide to Numerical Experiments on Elections in Computational Social Choice

Open Access
Authors
  • N. Boehmer
  • P. Faliszewski
  • Ł. Janeczko
  • A. Kaczmarczyk
  • G. Lisowski
  • G. Pierczyński
  • S. Rey
  • D. Stolicki
  • S. Szufa
  • T. Wąs
Publication date 2024
Host editors
  • K. Larson
Book title Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence
Book subtitle Jeju, Korea : 3-9 August 2024
ISBN
  • 9798331304058
ISBN (electronic)
  • 9781956792041
Series IJCAI
Event 33rd International Joint Conference on Artificial Intelligence, IJCAI 2024
Volume | Issue number 10
Pages (from-to) 7962-7970
Publisher Marina del Rey, CA: International Joint Conferences on Artificial Intelligence
Organisations
  • Interfacultary Research - Institute for Logic, Language and Computation (ILLC)
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.
Document type Conference contribution
Language English
Published at https://doi.org/10.24963/ijcai.2024/881
Other links https://www.proceedings.com/76457.html
Downloads
0881 (Final published version)
Permalink to this page
Back