A Natural Adaptive Process for Collective Decision-Making

Fuente: arXiv
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Hauptverfasser: Brandl, Florian, Brandt, Felix
Format: Preprint
Veröffentlicht: 2021
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author Brandl, Florian
Brandt, Felix
author_facet Brandl, Florian
Brandt, Felix
contents Consider an urn filled with balls, each labeled with one of several possible collective decisions. Now, let a random voter draw two balls from the urn and pick her more preferred as the collective decision. Relabel the losing ball with the collective decision, put both balls back into the urn, and repeat. Once in a while, relabel a randomly drawn ball with a random collective decision. We prove that the empirical distribution of collective decisions produced by this process approximates a maximal lottery, a celebrated probabilistic voting rule proposed by Peter C. Fishburn (Rev. Econ. Stud., 51(4), 1984). In fact, the probability that the collective decision in round $n$ is made according to a maximal lottery increases exponentially in $n$. The proposed procedure is more flexible than traditional voting rules and bears strong similarities to natural processes studied in biology, physics, and chemistry as well as algorithms proposed in machine learning.
format Preprint
id arxiv_https___arxiv_org_abs_2103_14351
institution arXiv
publishDate 2021
record_format arxiv
spellingShingle A Natural Adaptive Process for Collective Decision-Making
Brandl, Florian
Brandt, Felix
Theoretical Economics
Dynamical Systems
Consider an urn filled with balls, each labeled with one of several possible collective decisions. Now, let a random voter draw two balls from the urn and pick her more preferred as the collective decision. Relabel the losing ball with the collective decision, put both balls back into the urn, and repeat. Once in a while, relabel a randomly drawn ball with a random collective decision. We prove that the empirical distribution of collective decisions produced by this process approximates a maximal lottery, a celebrated probabilistic voting rule proposed by Peter C. Fishburn (Rev. Econ. Stud., 51(4), 1984). In fact, the probability that the collective decision in round $n$ is made according to a maximal lottery increases exponentially in $n$. The proposed procedure is more flexible than traditional voting rules and bears strong similarities to natural processes studied in biology, physics, and chemistry as well as algorithms proposed in machine learning.
title A Natural Adaptive Process for Collective Decision-Making
topic Theoretical Economics
Dynamical Systems
url https://arxiv.org/abs/2103.14351