Let's Agree to Agree: Targeting Consensus for Incomplete Preferences Through Majority Dynamics
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.
Cite
Text
Botan et al. "Let's Agree to Agree: Targeting Consensus for Incomplete Preferences Through Majority Dynamics." International Joint Conference on Artificial Intelligence, 2022. doi:10.24963/IJCAI.2022/18Markdown
[Botan et al. "Let's Agree to Agree: Targeting Consensus for Incomplete Preferences Through Majority Dynamics." International Joint Conference on Artificial Intelligence, 2022.](https://mlanthology.org/ijcai/2022/botan2022ijcai-let/) doi:10.24963/IJCAI.2022/18BibTeX
@inproceedings{botan2022ijcai-let,
title = {{Let's Agree to Agree: Targeting Consensus for Incomplete Preferences Through Majority Dynamics}},
author = {Botan, Sirin and Rey, Simon and Terzopoulou, Zoi},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {2022},
pages = {123-129},
doi = {10.24963/IJCAI.2022/18},
url = {https://mlanthology.org/ijcai/2022/botan2022ijcai-let/}
}