IJCAI 2022poster1 citations

Let’s Agree to Agree: Targeting Consensus for Incomplete Preferences through Majority Dynamics

Sirin Botan, Simon Rey, Zoi Terzopoulou

Abstract

We study settings in which agents with incomplete preferences need to make a collective decision. We focus on a process of majority dynamics where issues are addressed one at a time and undecided agents follow the opinion of the majority. We assess the effects of this process on various consensus notions—such as the Condorcet winner—and show that in the worst case, myopic adherence to the majority damages existing consensus; yet, simulation experiments indicate that the damage is often mild. We also examine scenarios where the chair of the decision process can control the existence (or the identity) of consensus, by determining the order in which the issues are discussed.

Agent-based and Multi-agent Systems: Computational Social Choice
BibTeX
@inproceedings{ijcai2022p18,
  title     = {Let’s Agree to Agree: Targeting Consensus for Incomplete Preferences through Majority Dynamics},
  author    = {Botan, Sirin and Rey, Simon and Terzopoulou, Zoi},
  booktitle = {Proceedings of the Thirty-First International Joint Conference on
               Artificial Intelligence, {IJCAI-22}},
  publisher = {International Joint Conferences on Artificial Intelligence Organization},
  editor    = {Lud De Raedt},
  pages     = {123--129},
  year      = {2022},
  month     = {7},
  note      = {Main Track},
  doi       = {10.24963/ijcai.2022/18},
  url       = {https://doi.org/10.24963/ijcai.2022/18},
}
Let’s Agree to Agree: Targeting Consensus for Incomplete Preferences through Majority Dynamics · IJCAI 2022