Which is the fairest (rent division) of them all? (Extended abstract)

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    1 Scopus citations

    Abstract

    What is a fair way to assign rooms to several housemates, and divide the rent between them? This is not just a theoretical question: many people have used the Spliddit website to obtain envy-free solutions to rent division instances. But envy freeness, in and of itself, is insufficient to guarantee outcomes that people view as intuitive and acceptable. We therefore focus on solutions that optimize a criterion of social justice, subject to the envy freeness constraint, in order to pinpoint the "fairest" solutions. We develop a general algorithmic framework that enables the computation of such solutions in polynomial time. We then study the relations between natural optimization objectives, and identify the maximin solution, which maximizes the minimum utility subject to envy freeness, as the most attractive. We demonstrate, in theory and using experiments on real data from Spliddit, that the maximin solution gives rise to significant gains in terms of our optimization objectives. Finally, a user study with Spliddit users as subjects demonstrates that people find the maximin solution to be significantly fairer than arbitrary envy-free solutions; this user study is unprecedented in that it asks people about their real-world rent division instances. Based on these results, the maximin solution has been deployed on Spliddit since April 2015.

    Original languageEnglish
    Title of host publication26th International Joint Conference on Artificial Intelligence, IJCAI 2017
    EditorsCarles Sierra
    PublisherInternational Joint Conferences on Artificial Intelligence
    Pages4841-4843
    Number of pages3
    ISBN (Electronic)9780999241103
    DOIs
    StatePublished - 1 Jan 2017
    Event26th International Joint Conference on Artificial Intelligence, IJCAI 2017 - Melbourne, Australia
    Duration: 19 Aug 201725 Aug 2017

    Publication series

    NameIJCAI International Joint Conference on Artificial Intelligence
    Volume0
    ISSN (Print)1045-0823

    Conference

    Conference26th International Joint Conference on Artificial Intelligence, IJCAI 2017
    Country/TerritoryAustralia
    CityMelbourne
    Period19/08/1725/08/17

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 10 - Reduced Inequalities
      SDG 10 Reduced Inequalities

    ASJC Scopus subject areas

    • Artificial Intelligence

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