arrow
Return

Robustness among multiwinner voting rules

delete2021-01-01
delete10
delete
OA
AI
R
Robert Bredereck
P
Piotr Faliszewski
K
Kaczmarczyk, Andrzej *
R
Rolf Niedermeier
P
Piotr Skowron
T
Talmon, Nimrod
DOI:10.1016/j.artint.2020.103403delete
deleteOriginal
deleteShare
deleteSave
View PDF
Abstract

Abstract

En 中文
We investigate how robust the results of committee elections are with respect to small changes in the input preference orders, depending on the voting rules used. We find that for typical rules the effect of making a single swap of adjacent candidates in a single preference order is either that (1) at most one committee member might be replaced, or (2) it is possible that the whole committee will be replaced. We also show that the problem of computing the smallest number of swaps that lead to changing the election outcome is typically NP-hard, but there are natural FPT algorithms. Finally, for a number of rules we assess experimentally the average number of random swaps necessary to change the election result. (C) 2020 Elsevier B.V. All rights reserved.
Keywords:
Computational social choice
Computational complexity
Parameterized complexity
Winner determination
STV
Copeland
Committee scoring rules
Robustness radius
Robustness level
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Artificial Intelligence Review cover
Artificial Intelligence Review
IF:
13.9
Papers:
6.1K
Citations:
1.9W

Organization

A
AGH University of Krakow
Scholars:
9.2K
Papers: 9.4K
Citations: 1.2W
U
University of Warsaw
Scholars:
1.2W
Papers: 1.1W
Citations: 1.1W
B
ben gurion university
Scholars:
1.3W
Papers: 1.0W
Citations: 5
T
Technical University of Berlin
Scholars:
1.3W
Papers: 1.1W
Citations: 18
researcher View more organizations