75169

Автор(ы): 

Автор(ов): 

1

Параметры публикации

Тип публикации: 

Глава в книге

Название: 

Manipulation by Coalitions in Voting with Incomplete Information

ISBN/ISSN: 

978-3-031-31653-1

DOI: 

https://doi.org/10.1007/978-3-031-31654-8_23

Наименование источника: 

  • Data Analysis and Optimization. Springer Optimization and Its Applications

Город: 

  • Cham

Издательство: 

  • Springer

Год издания: 

2023

Страницы: 

377–395
Аннотация
We consider the problem of coalitional manipulation in collective decision making and a probabilistic approach for solving it. We assume that voters have some information about other voters’ preferences from opinion polls held before voting. There are 5 different types of poll information functions. Coalition members are assumed to have identical preferences. We consider the probability that in a randomly chosen preference profile there exists a coalition which has an incentive to manipulate under a given type of poll information. We answer the following questions. How does coalitional manipulability differ from individual? How do different types of poll information affect coalitional manipulability? We answer these questions via both theoretical investigation and computational experiments.

Библиографическая ссылка: 

Веселова Ю.А. Manipulation by Coalitions in Voting with Incomplete Information / Data Analysis and Optimization. Springer Optimization and Its Applications. Cham: Springer, 2023. С. 377–395.