@inproceedings{0c8e10141a9c41868241da649c35458e,
title = "Iterative Deliberation via Metric Aggregation",
abstract = "We investigate an iterative deliberation process for an agent community wishing to make a joint decision. We develop a general model consisting of a community of n agents, each with their initial ideal point in some metric space (X, d), such that in each iteration of the iterative deliberation process, all agents move slightly closer to the current winner, according to some voting rule R. For several natural metric spaces and suitable voting rules for them, we identify conditions under which such an iterative deliberation process is guaranteed to converge.",
keywords = "Deliberation, Iterative process, Metric aggregation, Social choice",
author = "Zvi, {Gil Ben} and Eyal Leizerovich and Nimrod Talmon",
note = "Publisher Copyright: {\textcopyright} 2021, Springer Nature Switzerland AG.; 7th International Conference on Algorithmic Decision Theory, ADT 2021 ; Conference date: 03-11-2021 Through 05-11-2021",
year = "2021",
month = jan,
day = "1",
doi = "10.1007/978-3-030-87756-9_11",
language = "English",
isbn = "9783030877552",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "162--176",
editor = "Dimitris Fotakis and {R{\'i}os Insua}, David",
booktitle = "Algorithmic Decision Theory - 7th International Conference, ADT 2021, Proceedings",
address = "Germany",
}