Strategy-Proof Facility Location for Concave Cost Functions
Dimitris Fotakis, Christos Tzamos

TL;DR
This paper introduces a randomized, strategyproof facility location mechanism that guarantees bounded approximation ratios for social and maximum costs across any number of facilities and agents, for concave cost functions.
Contribution
It presents the Equal Cost mechanism, the first to achieve bounded approximation ratios for any number of facilities and agents with concave costs, and analyzes its properties.
Findings
Equal Cost is group strategyproof with approximation ratio at most 2 for Max Cost.
Equal Cost achieves an approximation ratio at most n for Social Cost.
A negative result excludes similar mechanisms for strictly convex costs.
Abstract
We consider k-Facility Location games, where n strategic agents report their locations on the real line, and a mechanism maps them to k facilities. Each agent seeks to minimize his connection cost, given by a nonnegative increasing function of his distance to the nearest facility. Departing from previous work, that mostly considers the identity cost function, we are interested in mechanisms without payments that are (group) strategyproof for any given cost function, and achieve a good approximation ratio for the social cost and/or the maximum cost of the agents. We present a randomized mechanism, called Equal Cost, which is group strategyproof and achieves a bounded approximation ratio for all k and n, for any given concave cost function. The approximation ratio is at most 2 for Max Cost and at most n for Social Cost. To the best of our knowledge, this is the first mechanism with a…
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