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In 1876, Lewis Carroll proposed a voting system in which the winner is the candidate who with the fewest changes in voters' preferences becomes a Condorcet winner---a candidate who beats all other candidates in pairwise majority-rule…

计算复杂性 · 计算机科学 2007-05-23 Edith Hemaspaandra , Lane A. Hemaspaandra , Joerg Rothe

With the Dodgson rule, cloning the electorate can change the winner, which Young (1977) considers an "absurdity". Removing this absurdity results in a new rule (Fishburn, 1977) for which we can compute the winner in polynomial time (Rothe…

组合数学 · 数学 2010-08-10 John C. McCabe-Dansted

In 1977, Young proposed a voting scheme that extends the Condorcet Principle based on the fewest possible number of voters whose removal yields a Condorcet winner. We prove that both the winner and the ranking problem for Young elections is…

计算复杂性 · 计算机科学 2016-08-16 Jörg Rothe , Holger Spakowski , Jörg Vogel

Conflict of interest is the permanent companion of any population of agents (computational or biological). For that reason, the ability to compromise is of paramount importance, making voting a key element of societal mechanisms. One of the…

人工智能 · 计算机科学 2016-08-10 Arne Recknagel , Tarek R. Besold

We investigate issues related to two hard problems related to voting, the optimal weighted lobbying problem and the winner problem for Dodgson elections. Regarding the former, Christian et al. [CFRS06] showed that optimal lobbying is…

计算机科学与博弈论 · 计算机科学 2007-05-23 Gabor Erdelyi , Lane A. Hemaspaandra , Joerg Rothe , Holger Spakowski

Election systems based on scores generally determine the winner by computing the score of each candidate and the winner is the candidate with the best score. It would be natural to expect that computing the winner of an election is at least…

计算机科学与博弈论 · 计算机科学 2019-11-21 Zack Fitzsimmons , Edith Hemaspaandra

We provide deterministic, polynomial-time computable voting rules that approximate Dodgson's and (the ``minimization version'' of) Young's scoring rules to within a logarithmic factor. Our approximation of Dodgson's rule is tight up to a…

计算机科学与博弈论 · 计算机科学 2008-12-18 Jason Covey , Christopher Homan

To make a joint decision, agents (or voters) are often required to provide their preferences as linear orders. To determine a winner, the given linear orders can be aggregated according to a voting protocol. However, in realistic settings,…

计算复杂性 · 计算机科学 2010-05-03 Nadja Betzler , Britta Dorn

Predicting the winner of an election is a favorite problem both for news media pundits and computational social choice theorists. Since it is often infeasible to elicit the preferences of all the voters in a typical prediction scenario, a…

数据结构与算法 · 计算机科学 2016-04-21 Arnab Bhattacharyya , Palash Dey

The Possible Winner problem asks, given an election where the voters' preferences over the candidates are specified only partially, whether a designated candidate can become a winner by suitably extending all the votes. Betzler and Dorn [1]…

计算复杂性 · 计算机科学 2011-11-29 Dorothea Baumeister , Joerg Rothe

In this paper we give a mathematical proof of Dodgson algorithm [1]. Recently Zeilberger [2] gave a bijective proof. Our techniques are based on determinant properties and they are obtained by induction.

组合数学 · 数学 2007-12-04 Kouachi Said , Abdelmalek Salem , Rebiai Belgacem

The Possible-Winner problem asks, given an election where the voters' preferences over the set of candidates is partially specified, whether a distinguished candidate can become a winner. In this work, we consider the computational…

计算机科学与博弈论 · 计算机科学 2018-02-27 Batya Kenig

This paper considers elections in which voters choose one candidate each, independently according to known probability distributions. A candidate receiving a strict majority (absolute or relative, depending on the version) wins. After the…

数据结构与算法 · 计算机科学 2024-01-22 Lisa Hellerstein , Naifeng Liu , Kevin Schewior

The computational complexity of winner determination is a classical and important problem in computational social choice. Previous work based on worst-case analysis has established NP-hardness of winner determination for some classic voting…

计算机科学与博弈论 · 计算机科学 2022-10-18 Lirong Xia , Weiqiang Zheng

We consider the approval-based model of elections, and undertake a computational study of voting rules which select committees whose size is not predetermined. While voting rules that output committees with a predetermined number of winning…

计算机科学与博弈论 · 计算机科学 2017-11-20 Piotr Faliszewski , Arkadii Slinko , Nimrod Talmon

Charles L. Dodgson, also known as Lewis Carroll, in his book "Pillow problems" from 1893 asked for the likelihood of a random triangle to be obtuse. Clearly, the answer to Dodgson's question depends strongly on the assumed random…

概率论 · 数学 2025-08-27 Theodore D. Drivas , Michael Retakh

We investigate the problem of computing the probability of winning in an election where voter attendance is uncertain. More precisely, we study the setting where, in addition to a total ordering of the candidates, each voter is associated…

计算机科学与博弈论 · 计算机科学 2021-02-01 Aviram Imber , Benny Kimelfeld

We consider the problem of predicting winners in elections, for the case where we are given complete knowledge about all possible candidates, all possible voters (together with their preferences), but where it is uncertain either which…

计算机科学与博弈论 · 计算机科学 2016-03-27 Krzysztof Wojtas , Krzysztof Magiera , Tomasz Miąsko , Piotr Faliszewski

In 1866, Charles Ludwidge Dodgson published a paper concerning a method for evaluating determinants called the condensation method. His paper documented a new method to calculate determinants that was based on Jacobi's Theorem. The…

历史与综述 · 数学 2016-07-20 Mitch Main , Micah Donor , R. Corban Harwood

The major finding, of this article, is an ensemble method, but more exactly, a novel, better ranked voting system (and other variations of it), that aims to solve the problem of finding the best candidate to represent the voters. We have…

人工智能 · 计算机科学 2021-10-15 Gabriel-Claudiu Grama
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