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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

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

We consider election scenarios with incomplete information, a situation that arises often in practice. There are several models of incomplete information and accordingly, different notions of outcomes of such elections. In one well-studied…

计算机科学与博弈论 · 计算机科学 2016-10-27 Palash Dey , Neeldhara Misra

Scoring systems are an extremely important class of election systems. A length-$m$ (so-called) scoring vector applies only to $m$-candidate elections. To handle general elections, one must use a family of vectors, one per length. The most…

计算机科学与博弈论 · 计算机科学 2014-04-18 Edith Hemaspaandra , Lane A. Hemaspaandra , Henning Schnoor

Scoring protocols are a broad class of voting systems. Each is defined by a vector $(\alpha_1,\alpha_2,...,\alpha_m)$, $\alpha_1 \geq \alpha_2 \geq >... \geq \alpha_m$, of integers such that each voter contributes $\alpha_1$ points to…

计算机科学与博弈论 · 计算机科学 2007-05-23 Edith Hemaspaandra , Lane A. Hemaspaandra

Consider elections where the set of candidates is partitioned into parties, and each party must nominate exactly one candidate. The Possible President problem asks whether some candidate of a given party can become the winner of the…

计算机科学与博弈论 · 计算机科学 2025-02-06 Ildikó Schlotter , Katarína Cechlárová

The Possible Winner (PW) problem, a fundamental algorithmic problem in computational social choice, concerns elections where voters express only partial preferences between candidates. Via a sequence of investigations, a complete…

计算机科学与博弈论 · 计算机科学 2020-03-26 Vishal Chakraborty , Phokion G. Kolaitis

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 consider a spatial voting model where both candidates and voters are positioned in the $d$-dimensional Euclidean space, and each voter ranks candidates based on their proximity to the voter's ideal point. We focus on the scenario where…

计算机科学与博弈论 · 计算机科学 2025-05-20 Hadas Shachnai , Rotem Shavitt , Andreas Wiese

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

Various voting rules are based on ranking the candidates by scores induced by aggregating voter preferences. A winner (respectively, unique winner) is a candidate who receives a score not smaller than (respectively, strictly greater than)…

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

Usually a voting rule requires agents to give their preferences as linear orders. However, in some cases it is impractical for an agent to give a linear order over all the alternatives. It has been suggested to let agents submit partial…

计算机科学与博弈论 · 计算机科学 2014-01-17 Lirong Xia , Vincent Conitzer

We study the Possible President problem and the Necessary President problem for Schulze voting, a rule that, due to its many desirable axiomatic properties, is popular in practice. In both problems, we are given an election with the…

计算机科学与博弈论 · 计算机科学 2026-04-15 Katarína Cechlárová , Jörg Rothe , Šimon Schierreich , Ildikó Schlotter

When voter preferences are known in an incomplete (partial) manner, winner determination is commonly treated as the identification of the necessary and possible winners; these are the candidates who win in all completions or at least one…

计算机科学与博弈论 · 计算机科学 2020-02-24 Aviram Imber , Benny Kimelfeld

We revisit the recent breakthrough result of Gkatzelis et al. on (single-winner) metric voting, which showed that the optimal distortion of 3 can be achieved by a mechanism called Plurality Matching. The rule picks an arbitrary candidate…

计算机科学与博弈论 · 计算机科学 2025-02-05 Fatih Erdem Kizilkaya , David Kempe

We consider spatial voting where candidates are located in the Euclidean $d$-dimensional space, and each voter ranks candidates based on their distance from the voter's ideal point. We explore the case where information about the location…

计算机科学与博弈论 · 计算机科学 2024-08-21 Aviram Imber , Jonas Israel , Markus Brill , Hadas Shachnai , Benny Kimelfeld

We consider the complexity of deciding the winner of an election under the Slater rule. In this setting we are given a tournament $T = (V, A)$, where the vertices of V represent candidates and the direction of each arc indicates which of…

计算复杂性 · 计算机科学 2021-12-28 Michael Lampis

Consider an election where the set of candidates is partitioned into parties, and each party must choose exactly one candidate to nominate for the election held over all nominees. The Necessary President problem asks whether a candidate, if…

计算机科学与博弈论 · 计算机科学 2026-02-12 Katarína Cechlárová , Ildikó Schlotter

The metric distortion framework posits that n voters and m candidates are jointly embedded in a metric space such that voters rank candidates that are closer to them higher. A voting rule's purpose is to pick a candidate with minimum total…

计算机科学与博弈论 · 计算机科学 2023-07-03 Fatih Erdem Kizilkaya , David Kempe

We study the election control problem with multi-votes, where each voter can present a single vote according different views (or layers, we use "layer" to represent "view"). For example, according to the attributes of candidates, such as:…

计算复杂性 · 计算机科学 2023-07-03 Fengbo Wang , Aizhong Zhou , Jianliang Xu
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