Handbook of Computational Social Choice 2016
DOI: 10.1017/cbo9781107446984.003
|View full text |Cite
|
Sign up to set email alerts
|

Introduction to the Theory of Voting

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
66
0

Year Published

2016
2016
2021
2021

Publication Types

Select...
8

Relationship

0
8

Authors

Journals

citations
Cited by 68 publications
(66 citation statements)
references
References 0 publications
0
66
0
Order By: Relevance
“…First, it may be interpreted as demonstrating a lack of fairness of the plurality rule: even though a majority of voters believes A to be inferior to one of the other options (namely B), A still wins. This and other fairness properties of voting rules are reviewed in Chapter 2 (Zwicker, 2016). Second, Pliny's anecdote is an instance of what nowadays is called election control by deleting candidates.…”
Section: Early Ideas: Rules and Paradoxesmentioning
confidence: 99%
See 2 more Smart Citations
“…First, it may be interpreted as demonstrating a lack of fairness of the plurality rule: even though a majority of voters believes A to be inferior to one of the other options (namely B), A still wins. This and other fairness properties of voting rules are reviewed in Chapter 2 (Zwicker, 2016). Second, Pliny's anecdote is an instance of what nowadays is called election control by deleting candidates.…”
Section: Early Ideas: Rules and Paradoxesmentioning
confidence: 99%
“…Even if option C had not been removed, the supporters of C could have manipulated the election by pretending that they support B rather than C, thereby ensuring a preferred outcome, namely B rather than A. Manipulation is discussed in depth in Chapters 2 (Zwicker, 2016) and 6 (Conitzer and Walsh, 2016).…”
Section: Early Ideas: Rules and Paradoxesmentioning
confidence: 99%
See 1 more Smart Citation
“…We could declare any vote that is not single-peaked invalid, but this just comes down to forcing voters to manipulate. For more discussion of single-peaked preferences, see Chapter 2 (Zwicker, 2015).…”
Section: Non-computational Avenues Around Gibbard-satterthwaitementioning
confidence: 99%
“…See also Chapter 2 (Zwicker, 2015). Abraham et al (2007b) derived a neat characterisation of popular matchings, leading to an O(m) algorithm to check whether a given matching M in I is popular.…”
Section: Popular Matchingsmentioning
confidence: 99%