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Truthful Approximations To Range Voting

Aris Filos-Ratsikas ( Aarhus University )

We consider the fundamental mechanism design problem of approximate social welfare maximization under general cardinal preferences on a finite number of alternatives and without money. The well-known range voting scheme can be thought of as a non-truthful mechanism for exact social welfare maximization in this setting. With m being the number of alternatives, we exhibit a randomized truthful-in-expectation ordinal mechanism with approximation ratio \Omega(m^{-3/4}). On the other hand, we show that for sufficiently many agents, the approximation ratio of any truthful-in-expectation ordinal mechanism is O(m^{-2/3}). We supplement our results with an upper bound for any truthful mechanism. We get tighter bounds for the natural special case of $m = 3$, and in that case furthermore obtain separation results concerning the approximation ratios achievable by natural restricted classes of truthful-in-expectation mechanisms. In particular, we show that the best cardinal truthful mechanism strictly outperforms all ordinal ones.

Speaker bio

Aris Filos-Ratsikas is a PhD Student at the Department of Computer Science at Aarhus University, Denmark, working on Algorithmic Mechanism Design and Algorithmic Game Theory, particularly voting and social choice and assignment problems. He is part of the Mathematical Computer Science group and works under the supervision of Peter Bro Miltersen. He obtained his MSc degree on Computer Science from the University of Patras, Greece.

 

 

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