Fair Mixing

Author:

Aziz Haris1,Bogomolnaia Anna2,Moulin Hervé2

Affiliation:

1. UNSW Sydney and Data61 CSIRO, UNSW Sydney, Australia, NSW

2. University of Glasgow and HSE St Petersburg, Glasgow, UK

Abstract

We consider a setting in which agents vote to choose a fair mixture of public outcomes. The agents have dichotomous preferences: Each outcome is liked or disliked by an agent. We discuss three outstanding voting rules. The Conditional Utilitarian rule, a variant of the random dictator, is strategyproof and guarantees to any group of like-minded agents an influence proportional to its size. It is easier to compute and more efficient than the familiar Random Priority rule. We show, both formally and by numerical experiments, that its inefficiency is low when the number of agents is low. The efficient Egalitarian rule protects individual agents but not coalitions. It is excludable strategyproof : An agent does not want to lie if she cannot consume outcomes she claims to dislike. The efficient Max Nash Product rule offers the strongest welfare guarantees to coalitions, which can force any outcome with a probability proportional to their size. But it even fails the excludable form of strategyproofness.

Funder

UNSW Scientia Fellowship

Publisher

Association for Computing Machinery (ACM)

Subject

Computational Mathematics,Marketing,Economics and Econometrics,Statistics and Probability,Computer Science (miscellaneous)

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