TY - GEN
T1 - How Should We Vote? A Comparison of Voting Systems within Social Networks
AU - Alouf-Heffetz, Shiri
AU - Armstrong, Ben
AU - Larson, Kate
AU - Talmon, Nimrod
N1 - Publisher Copyright:
© 2022 International Joint Conferences on Artificial Intelligence. All rights reserved.
PY - 2022/1/1
Y1 - 2022/1/1
N2 - Voting is a central methodology for eliciting and combining agents' preferences and information across many applications. Just as there are numerous voting rules exhibiting different properties, we also see many different voting systems. In this paper we investigate how different voting systems perform as a function of the characteristics of the underlying voting population and social network. In particular, we compare direct democracy, liquid democracy, and sortition in a ground truth voting context. Through simulations - using both real and artificially generated social networks - we illustrate how voter competency distributions and levels of direct participation affect group accuracy differently in each voting mechanism. Our results can be used to guide the selection of a suitable voting system based on the characteristics of a particular voting setting.
AB - Voting is a central methodology for eliciting and combining agents' preferences and information across many applications. Just as there are numerous voting rules exhibiting different properties, we also see many different voting systems. In this paper we investigate how different voting systems perform as a function of the characteristics of the underlying voting population and social network. In particular, we compare direct democracy, liquid democracy, and sortition in a ground truth voting context. Through simulations - using both real and artificially generated social networks - we illustrate how voter competency distributions and levels of direct participation affect group accuracy differently in each voting mechanism. Our results can be used to guide the selection of a suitable voting system based on the characteristics of a particular voting setting.
UR - http://www.scopus.com/inward/record.url?scp=85137920405&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85137920405
T3 - IJCAI International Joint Conference on Artificial Intelligence
SP - 31
EP - 38
BT - Proceedings of the 31st International Joint Conference on Artificial Intelligence, IJCAI 2022
A2 - De Raedt, Luc
A2 - De Raedt, Luc
PB - International Joint Conferences on Artificial Intelligence
T2 - 31st International Joint Conference on Artificial Intelligence, IJCAI 2022
Y2 - 23 July 2022 through 29 July 2022
ER -