TY - GEN
T1 - Strategy-proof mechanism design for facility location games
T2 - 15th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2016
AU - Mei, Lili
AU - Li, Minming
AU - Ye, Deshi
AU - Zhang, Guochuan
N1 - Publisher Copyright:
Copyright © 2016, International Foundation for Autonomous Agents and Multiagent Systems (www.ifaamas.org). All rights reserved.
PY - 2016
Y1 - 2016
N2 - In facility location games, one aims at designing a mechanism to decide the facility location based on the addresses reported by all agents. In the standard facility location game, each agent wants to minimize the distance from the facility, while in the obnoxious facility game, each agent prefers to be as far away from the facility as possible. In this paper we revisit the two games on a line network by finely defining more reasonable agent cost (utility) functions in terms of their satisfaction degree with respect to the facility location. Namely, a happiness factor within [0, 1] is introduced to measure the difference between the best facility location for an agent and the one given by the mechanism. Agents aim at a largest possible happiness factor while the social satisfaction is to maximize the total factors. For the standard facility location game, we observe that the median mechanism [4] is of 3/2-approximation. We then devise a 5/4-approximation group strategy-proof mechanism. For the obnoxious facility game, we show the majority mechanism [1] is best possible with approximation ratio of two.
AB - In facility location games, one aims at designing a mechanism to decide the facility location based on the addresses reported by all agents. In the standard facility location game, each agent wants to minimize the distance from the facility, while in the obnoxious facility game, each agent prefers to be as far away from the facility as possible. In this paper we revisit the two games on a line network by finely defining more reasonable agent cost (utility) functions in terms of their satisfaction degree with respect to the facility location. Namely, a happiness factor within [0, 1] is introduced to measure the difference between the best facility location for an agent and the one given by the mechanism. Agents aim at a largest possible happiness factor while the social satisfaction is to maximize the total factors. For the standard facility location game, we observe that the median mechanism [4] is of 3/2-approximation. We then devise a 5/4-approximation group strategy-proof mechanism. For the obnoxious facility game, we show the majority mechanism [1] is best possible with approximation ratio of two.
KW - Algorithmic mechanism design
KW - Facility location game
KW - Happiness factor
KW - Social satisfaction
UR - https://www.scopus.com/pages/publications/85014282536
M3 - 会议稿件
AN - SCOPUS:85014282536
T3 - Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS
SP - 1463
EP - 1464
BT - AAMAS 2016 - Proceedings of the 2016 International Conference on Autonomous Agents and Multiagent Systems
PB - International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)
Y2 - 9 May 2016 through 13 May 2016
ER -