Affiliation:
1. National Technical University of Athens, Athens, Greece
2. Massachusetts Institute of Technology, Cambridge, MA
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 mechanisms that are strategyproof, that is, ensure that no agent can benefit from misreporting her location, do not resort to monetary transfers, and achieve a bounded approximation ratio to the total connection cost of the agents (or to the
L
p
norm of the connection costs, for some
p
∈ [1, ∞) or for
p
= ∞).
Our main result is 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
≥ 5 agents, any such mechanism either admits a unique dictator or always places the facilities at the leftmost and the rightmost location 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. Another rather surprising consequence is that the Two-Extremes mechanism of Procaccia and Tennenholtz [2009] is the only deterministic anonymous strategyproof mechanism with a bounded approximation ratio for 2-Facility Location on the line.
The proof of the characterization employs several new ideas and technical tools, which provide new insights into the behavior of deterministic strategyproof mechanisms for
K
-Facility Location games and may be of independent interest. Employing one of these tools, we show that for every
K
≥ 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. Moreover, building on the characterization for the line, we show that there do not exist any deterministic strategyproof mechanisms with a bounded approximation ratio for 2-Facility Location and instances with
n
≥ 3 agents located in a star.
Funder
European Social Fund
Greek national funds
Operational Program “Education and Lifelong Learning” of the National Strategic Reference Framework (NSRF) -- Research Funding Program: THALES
project Algorithmic Game Theory
Publisher
Association for Computing Machinery (ACM)
Subject
Computational Mathematics,Marketing,Economics and Econometrics,Statistics and Probability,Computer Science (miscellaneous)
Cited by
42 articles.
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