@inbook{518840ee20fa434aa92d0ebd3b58e9cd,
title = "Optimization-Based Voting Rule Design: The Closer to Utopia the Better",
abstract = "In certain situations, such as elections in a Euclidean domain, it is possible to specify clear requirements for the operation of a multiwinner voting rule, for it to provide committees that correspond to some desirable intuitive notions (such as individual excellence of committee members or their diversity). We formally describe several such requirements, which we refer to as “utopias”. Supplied with such utopias, we develop an optimization-based mechanism for constructing committee scoring rules that provide results as close to these utopias as possible; we test our mechanism on weakly separable and OWA-based rules. Using our method we acquire some interesting insights as well as recover some believed connections between known multiwinner voting rules and certain applications and get other interesting insights.",
author = "Piotr Faliszewski and Stanislaw Szufa and Nimrod Talmon",
note = "Funding Information: Acknowledgements Preliminary version of this paper was presented at the AAMAS-2018 conference and at the COMSOC-2018 workshop. The current version contains additional discussions and an extended set of results (including all results for the OWA/Approval-based rules). Further, the current version corrects several mistakes that appeared in the AAMAS-2018 paper. We are very grateful to all the reviewers who commented on this paper. Piotr Faliszewski was supported by the National Science Centre, Poland, under project 2016/21/B/ST6/01509. Nimrod Talmon was supported by the Israel Science Foundation (ISF; Grant No. 630/19). Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.",
year = "2022",
month = jan,
day = "1",
doi = "10.1007/978-3-030-84997-9_2",
language = "English",
isbn = "9783030849979",
series = "Studies in Systems, Decision and Control",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "17--51",
editor = "Tomasz Szapiro and Kacprzyk, {Janusz }",
booktitle = "Collective Decisions: Theory, Algorithms And Decision Support Systems",
address = "Germany",
}