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Avtomatika i Telemekhanika, 2016, Issue 3, Pages 7–32 (Mi at14399)  

This article is cited in 2 scientific papers (total in 2 papers)

Surveys

Computational complexity of manipulation: a survey

Yu. A. Veselovaab

a National Research University Higher School of Economics, Moscow, Russia
b Trapeznikov Institute of Control Sciences, Russian Academy of Sciences, Moscow, Russia
Full-text PDF (242 kB) Citations (2)
References:
Abstract: In situations when a group of people has to make a decision based on the set of individual preferences, they use a certain aggregation method, in particular, voting. One of the main problems for any non-dictatorial social choice rule is the possibility for the voters to achieve a more preferable outcome of the voting by misrepresenting their preferences. Such actions on behalf of the voters are called manipulation, or strategic voting. One approach used to compare social choice rules in terms of how hard they are to manipulate is to find the complexity classes of manipulation problems for a given aggregation method. In this work, we present a survey of the studies of complexity classes of manipulation problems under various model assumptions and constraints.
Presented by the member of Editorial Board: D. A. Novikov

Received: 21.11.2014
English version:
Automation and Remote Control, 2016, Volume 77, Issue 3, Pages 369–388
DOI: https://doi.org/10.1134/S0005117916030012
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: Yu. A. Veselova, “Computational complexity of manipulation: a survey”, Avtomat. i Telemekh., 2016, no. 3, 7–32; Autom. Remote Control, 77:3 (2016), 369–388
Citation in format AMSBIB
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\by Yu.~A.~Veselova
\paper Computational complexity of manipulation: a~survey
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\issue 3
\pages 7--32
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\transl
\jour Autom. Remote Control
\yr 2016
\vol 77
\issue 3
\pages 369--388
\crossref{https://doi.org/10.1134/S0005117916030012}
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Linking options:
  • https://www.mathnet.ru/eng/at14399
  • https://www.mathnet.ru/eng/at/y2016/i3/p7
  • This publication is cited in the following 2 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Avtomatika i Telemekhanika
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    Abstract page:323
    Full-text PDF :207
    References:58
    First page:49
     
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