Expanding the Reach of Social Choice Theory

Warut Suksompong

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence

Early Career. Pages 8571-8576.

https://doi.org/10.24963/ijcai.2024/984

PDF BibTeX

Abstract

The field of social choice theory investigates how individual preferences are aggregated to reach collective decisions. While traditional social choice addresses problems such as choosing a winning candidate based on voter rankings or fairly allocating resources among individuals with the same entitlement, the wide range of decision-making scenarios in real-world applications calls for an extension beyond these basic frameworks. In this paper, I present an overview of my efforts to expand the reach of social choice theory in the domains of fair division, voting, and tournaments. Furthermore, I discuss avenues and challenges of bringing the developed theory closer to practice.

Keywords

  • Game Theory and Economic Paradigms: GTEP: Computational social choice
  • Game Theory and Economic Paradigms: GTEP: Fair division
  • Agent-based and Multi-agent Systems: MAS: Resource allocation
  • AI Ethics, Trust, Fairness: ETF: Fairness and diversity
Welcome Future Conferences AI Journal Division IJCAI Proceedings Travel Grant Program IJCAI Awards