MPI-INF Logo
Campus Event Calendar

Event Entry

What and Who

Approximate Strategyproof Mechanisms for Facility Location Games

Dimitris Fotakis
Max-Planck-Institut für Informatik - D1
AG1 Mittagsseminar (own work)
AG 1, AG 2, AG 3, AG 4, AG 5, RG1, SWS, MMCI  
AG Audience
English

Date, Time and Location

Tuesday, 13 May 2014
13:00
30 Minutes
E1 4
024
Saarbrücken

Abstract

We consider k-Facility Location games, where n strategic agents report their locations in a metric space, and a mechanism maps them to k facilities. The agents seek to minimize their connection cost, namely the distance of their true location to the nearest facility, and may misreport their location. We are interested in (deterministic or randomized) mechanisms that are strategyproof, i.e., ensure that no agent can benefit from misreporting her location, do not resort to monetary transfers, and achieve a good approximation ratio to either the total connection cost or their maximum connection cost of the agents.


We present an elegant characterization of deterministic strategyproof mechanisms with a bounded approximation ratio for 2-Facility Location on the line. In particular, we show that for instances with n \geq 5 agents, any such mechanism either admits a unique dictator, or allocates the facilities to the two extreme locations of the instance. As a corollary, we obtain that the best approximation ratio achievable by deterministic strategyproof mechanisms for the problem of locating 2 facilities on the line to minimize the total connection cost is precisely n-2.

Building on the techniques used for the characterization, we also show that:

-- For every k \geq 3, there do not exist any deterministic anonymous strategyproof mechanisms with a bounded approximation ratio for k-Facility Location on the line, even for simple instances with k+1 agents.

-- There do not exist any deterministic strategyproof mechanisms with a bounded approximation ratio for 2-Facility Location on general metric spaces, which is true even for simple instances with 3 agents located in a star.

On the positive side, we present a randomized mechanism for locating k facilities on the line that achieves an approximation ratio of 2 for the objective of maximum cost and an approximation ratio of n for the objective of total cost.

This is a joint work with Christos Tzamos (CSAIL, MIT)

Contact

Martin Hoefer
--email hidden
passcode not visible
logged in users only

Martin Hoefer, 05/08/2014 18:10
Martin Hoefer, 05/08/2014 14:01
Martin Hoefer, 05/08/2014 14:00 -- Created document.