AAAI Publications, Thirty-Second AAAI Conference on Artificial Intelligence

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Rank Maximal Equal Contribution: A Probabilistic Social Choice Function
Haris Aziz, Pang Luo, Christine Rizkallah

Last modified: 2018-04-25

Abstract


When aggregating preferences of agents via voting, two desirable goals are to incentivize agents to participate in the voting process and then identify outcomes that are Pareto efficient. We consider participation as formalized by Brandl, Brandt, and Hofbauer (2015) based on the stochastic dominance (SD) relation. We formulate a new rule called RMEC (Rank Maximal Equal Contribution) that is polynomial-time computable, ex post efficient and satisfies the strongest notion of participation. It also satisfies many other desirable fairness properties. The rule suggests a general approach to achieving very strong participation, ex post efficiency and fairness.

Keywords


algorithms; game theory; social choice theory; probabilistic social choice; voting mechanisms; random serial dictatorship; ex post efficient; participation; fairness

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