Heterogeneous Facility Location Games

05/06/2020 ∙ by Eleftherios Anastasiadis, et al. ∙ 0

We study heterogeneous k-facility location games. In this model there are k facilities where each facility serves a different purpose. Thus, the preferences of the agents over the facilities can vary arbitrarily. Our goal is to design strategy proof mechanisms that place the facilities in a way to maximize the minimum utility among the agents. For k=1, if the agents' locations are known, we prove that the mechanism that places the facility on an optimal location is strategy proof. For k ≥ 2, we prove that there is no optimal strategy proof mechanism, deterministic or randomized, even when k=2 there are only two agents with known locations, and the facilities have to be placed on a line segment. We derive inapproximability bounds for deterministic and randomized strategy proof mechanisms. Finally, we focus on the line segment and provide strategy proof mechanisms that achieve constant approximation. All of our mechanisms are simple and communication efficient. As a byproduct we show that some of our mechanisms can be used to achieve constant factor approximations for other objectives as the social welfare and the happiness.

READ FULL TEXT
POST COMMENT

Comments

There are no comments yet.

Authors

page 1

page 2

page 3

page 4

This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.