Poll-Confident Voters in Iterative Voting
Wilczynski, Anaelle (2019), Poll-Confident Voters in Iterative Voting, 33rd AAAI Conference on Artificial Intelligence (AAAI-19), 2019-01, Honolulu, Hawaii, United States
TypeCommunication / Conférence
External document linkhttps://hal.archives-ouvertes.fr/hal-02948562
Conference title33rd AAAI Conference on Artificial Intelligence (AAAI-19)
Conference cityHonolulu, Hawaii
Conference countryUnited States
MetadataShow full item record
Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
Abstract (EN)This article deals with strategic voting under incomplete information. We propose a descriptive model, inspired by political elections, where the information about the vote intentions of the electorate comes from public opinion polls and a social network, modeled as a graph over the voters. The voters are assumed to be confident in the poll and they update the communicated results with the information they get from their relatives in the social network. We consider an iterative voting model based on this behavior and study the associated “poll-confident” dynamics. In this context, we ask the question of manipulation by the polling institute.
Subjects / Keywordsvote
Showing items related by title and author.
Beynier, Aurélie; Chevaleyre, Yann; Gourvès, Laurent; Harutyunyan, Ararat; Lesca, Julien; Maudet, Nicolas; Wilczynski, Anaëlle (2019) Article accepté pour publication ou publié