Balancing Lexicographic Fairness and a Utilitarian Objective With Application to Kidney Exchange
DOI:
https://doi.org/10.1609/aaai.v32i1.12139Keywords:
fair division, multiagent systems, game theoryAbstract
In this work, we close an open theoretical problem regarding the price of fairness in modern kidney exchanges. We then propose a hybrid fairness rule that balances a lexicographic preference ordering over agents, with a utilitarian objective. This rule has one parameter which controls a bound on the price of fairness. We apply this rule to real data from a large kidney exchange and show that our hybrid rule produces more reliable outcomes than other fairness rules.
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Published
2018-04-29
How to Cite
McElfresh, D., & Dickerson, J. (2018). Balancing Lexicographic Fairness and a Utilitarian Objective With Application to Kidney Exchange. Proceedings of the AAAI Conference on Artificial Intelligence, 32(1). https://doi.org/10.1609/aaai.v32i1.12139
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Student Abstract Track