Temporal Elections: Welfare, Strategyproofness, and Proportionality
Edith Elkind, Tzeh Yuan Neoh, Nicholas Teh

TL;DR
This paper analyzes the computational complexity and strategic properties of sequential decision-making mechanisms aimed at maximizing utilitarian and egalitarian welfare, revealing hardness results and proposing efficient solutions under certain conditions.
Contribution
It provides a comprehensive complexity analysis of welfare maximization in sequential elections, introduces approximation algorithms, and examines strategyproofness and proportionality constraints.
Findings
Maximizing utilitarian welfare is computationally easy.
Maximizing egalitarian welfare is NP-complete, even in restricted cases.
Mechanisms maximizing utilitarian welfare are strategyproof, but egalitarian maximizers face non-obvious manipulability issues.
Abstract
We investigate a model of sequential decision-making where a single alternative is chosen at each round. We focus on two objectives -- utilitarian welfare (Util) and egalitarian welfare (Egal) -- and consider the computational complexity of maximizing these objectives, as well as their compatibility with strategyproofness and proportionality. We observe that maximizing Util is easy, but the corresponding decision problem for Egal is NP-complete even in restricted cases. We complement this hardness result for Egal with parameterized complexity analysis and an approximation algorithm. Additionally, we show that, while a mechanism that outputs an outcome that maximizes Util is strategyproof, all deterministic mechanisms for computing outcomes that maximize Egal fail a very weak variant of strategyproofness, called non-obvious manipulability (NOM). However, we show that when agents have…
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Taxonomy
TopicsSocial Policy and Reform Studies · Electoral Systems and Political Participation
MethodsFocus
