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On the Distortion Value of Elections with Abstention
Author(s) -
Masoud Seddighin,
Mohammad Latifian,
Mohammad Ghodsi
Publication year - 2021
Publication title -
journal of artificial intelligence research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.79
H-Index - 123
eISSN - 1943-5037
pISSN - 1076-9757
DOI - 10.1613/jair.1.12306
Subject(s) - distortion (music) , voting , value (mathematics) , simple (philosophy) , computer science , measure (data warehouse) , mathematical economics , mathematics , algorithm , data mining , political science , machine learning , law , epistemology , telecommunications , amplifier , philosophy , bandwidth (computing) , politics
In Spatial Voting Theory, distortion is a measure of how good the winner is. It has been proved that no deterministic voting mechanism can guarantee a distortion better than 3, even for simple metrics such as a line. In this study, we wish to answer the following question: how does the distortion value change if we allow less motivated agents to abstain from the election? We consider an election with two candidates and suggest an abstention model, which is a general form of the abstention model proposed by Kirchgässner. Our results characterize the distortion ¨ value and provide a rather complete picture of the model.

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