A multi-agent system to predict the outcome of a two-round election

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dc.contributor.authorCharcon D.Y.
dc.contributor.authorMonteiro L.H.A.
dc.date.accessioned2024-03-12T23:45:57Z
dc.date.available2024-03-12T23:45:57Z
dc.date.issued2020
dc.description.abstract© 2020 Elsevier Inc.Here, an agent-based model is developed to forecast the outcome of a three-party election in a two-round voting system. The vote of each agent is determined from four variables related to economic indicators, quality of public services, ethical conduct of the current administration, and political profile of the voting population. In addition, each agent can be influenced by the opinion of the nearest neighbors. Numerical simulations are performed to investigate how these variables affect the elected candidate. The proposed model is also used to reproduce the presidential elections held in Brazil in 2010 and in Uruguay in 2019.
dc.description.volume386
dc.identifier.doi10.1016/j.amc.2020.125481
dc.identifier.issn0096-3003
dc.identifier.urihttps://dspace.mackenzie.br/handle/10899/34867
dc.relation.ispartofApplied Mathematics and Computation
dc.rightsAcesso Restrito
dc.subject.otherlanguageMulti-agent system
dc.subject.otherlanguageOpinion dynamics
dc.subject.otherlanguageSocial network
dc.subject.otherlanguageVoting behavior
dc.titleA multi-agent system to predict the outcome of a two-round election
dc.typeArtigo
local.scopus.citations5
local.scopus.eid2-s2.0-85087392791
local.scopus.subjectAgent-based model
local.scopus.subjectEconomic indicators
local.scopus.subjectNearest neighbors
local.scopus.subjectPresidential election
local.scopus.subjectPublic services
local.scopus.subjectThree-party
local.scopus.subjectUruguay
local.scopus.subjectVoting systems
local.scopus.updated2024-05-01
local.scopus.urlhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85087392791&origin=inward
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