2024 IJCAI IJCAI 2024

Guide to Numerical Experiments on Elections in Computational Social Choice

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.

🌉 Interdisciplinary Bridge — Artificial Intelligence and Mathematics & Optimization
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🐝 Cross-Pollinator — Artificial Intelligence, Machine Learning, Mathematics & Optimization