Multi-agent simulation of voter's behaviour
Albin Soutif, Carole Adam, Sylvain Bouveret

TL;DR
This paper presents a multi-agent simulation framework to model voter behavior in elections, incorporating iterative voting influenced by poll results, with initial basic rules and a single voting method.
Contribution
It introduces a multi-agent simulation approach to analyze voter behavior, enabling future exploration of more complex rules and voting methods.
Findings
Simulated voter behavior influenced by poll results.
Basic rules demonstrate the potential of multi-agent modeling.
Framework allows for future extensions to complex voting scenarios.
Abstract
The goal of this paper is to simulate the voters behaviour given a voting method. Our approach uses a multi-agent simulation in order to model a voting process through many iterations, so that the voters can vote by taking into account the results of polls. Here we only tried basic rules and a single voting method, but further attempts could explore new features.
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Taxonomy
TopicsTransportation Planning and Optimization · Simulation Techniques and Applications
