2015
DOI: 10.1016/j.mathsocsci.2015.03.006
|View full text |Cite
|
Sign up to set email alerts
|

Complexity of manipulation and bribery in judgment aggregation for uniform premise-based quota rules

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
27
0

Year Published

2015
2015
2021
2021

Publication Types

Select...
5
3

Relationship

0
8

Authors

Journals

citations
Cited by 31 publications
(27 citation statements)
references
References 44 publications
(81 reference statements)
0
27
0
Order By: Relevance
“…Voting with constraints will be touched upon towards the end of the paper. Research in binary voting and judgment aggregation focused on the (non-)manipulability of judgment aggregation rules (Dietrich and List, 2007c;Botan et al, 2016) and its computational complexity (Endriss et al, 2012;Baumeister et al, 2015), but a fully-fledged theory of non-cooperative games in this setting has not yet been developed and that is our focus here.…”
Section: Contribution and Scientific Contextmentioning
confidence: 99%
See 1 more Smart Citation
“…Voting with constraints will be touched upon towards the end of the paper. Research in binary voting and judgment aggregation focused on the (non-)manipulability of judgment aggregation rules (Dietrich and List, 2007c;Botan et al, 2016) and its computational complexity (Endriss et al, 2012;Baumeister et al, 2015), but a fully-fledged theory of non-cooperative games in this setting has not yet been developed and that is our focus here.…”
Section: Contribution and Scientific Contextmentioning
confidence: 99%
“…The field of computational social choice has extensively studied decision problems involved with various forms of election control (see (Faliszewski and Rothe, 2016), for a recent overview) such as: lobbying (Christian et al, 2007;Bredereck et al, 2014), bribery (Baumeister et al, 2015;Hazon et al, 2013), modelled from the single agent perspective of a lobbyist or briber who tries to influence voters' decisions through monetary incentives, or from the perspective of a coalition of colluders (Bachrach et al, 2011). Here we study a form of control akin to bribery, but where any voter can 'bribe' any other voter.…”
Section: Election Controlmentioning
confidence: 99%
“…Research on election control has also affected research on related fields. For example, Baumeister et al [3] studied control in judgment aggregation.…”
Section: Related Workmentioning
confidence: 99%
“…Many algorithmic ideas of Faliszewski et al [20] are useful in our setting as well. Bribery was later studied by various researchers [8,22,24,39,49], sometimes in settings other than those regarding elections [3,40,45] (these references are meant as examples only, see the survey of Faliszewski, Hemaspaandra, and Hemaspaandra [21] for some more discussion). In particular, Faliszewski [19] and Elkind et al [15,16] introduced the idea of voter prices that depend on the extent to which a given vote is affected.…”
Section: Related Workmentioning
confidence: 99%
“…As argued by Faliszewski et al [FST17], such values can be far more informative than the score differences between the drivers. Bribery problems also appear in the contexts of lobbying [BEF + 07, BEF + 14], rating systems [GST18], or in combinatorial domains [BEER15].…”
Section: Introductionmentioning
confidence: 99%