IJCAI 2024poster1 citations

Optimizing Viscous Democracy

Ben Armstrong, Shiri Alouf-Heffetz, Nimrod Talmon

Abstract

Viscous democracy is a generalization of liquid democracy, a social choice framework in which voters may transitively delegate their votes. In viscous democracy, a "viscosity" factor decreases the weight of a delegation the further it travels, reducing the chance of excessive weight flowing between ideologically misaligned voters. We demonstrate that viscous democracy often significantly improves the quality of group decision-making over liquid democracy. We first show that finding optimal delegations within a viscous setting is NP-hard. However, simulations allow us to explore the practical effects of viscosity. Across social network structures, competence distributions, and delegation mechanisms we find high viscosity reduces the chance of ``super-voters'' attaining large amounts of weight and increases the number of voters that are able to affect the outcome of elections. This, in turn, improves group accuracy as a whole. As a result, we argue that viscosity should be considered a core component of liquid democracy.

Game Theory and Economic Paradigms: GTEP: Computational social choiceAgent-based and Multi-agent Systems: MAS: Agent-based simulation and emergenceMultidisciplinary Topics and Applications: MTA: Web and social networks
BibTeX
@inproceedings{ijcai2024p292,
  title     = {Optimizing Viscous Democracy},
  author    = {Armstrong, Ben and Alouf-Heffetz, Shiri and Talmon, Nimrod},
  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     = {2643--2650},
  year      = {2024},
  month     = {8},
  note      = {Main Track},
  doi       = {10.24963/ijcai.2024/292},
  url       = {https://doi.org/10.24963/ijcai.2024/292},
}
Optimizing Viscous Democracy · IJCAI 2024