TY - GEN
T1 - Facility location games with dual preference
AU - Zou, Shaokun
AU - Li, Minming
N1 - Publisher Copyright:
Copyright © 2015, International Foundation for Autonomous Agents.
PY - 2015
Y1 - 2015
N2 - In this paper, we focus on the facility location games with the property of dual preference. Dual preference property indicates that both two preferences of agents, staying close to and staying away from the facility (s), exist in the facility location game. We will explore two types of facility location games with this property, the dual character facility location game and the two-oppositefacility location game with limited distance which model the scenarios in real life. For both of them, we wish to design strategy-proof mechanisms or group strategyproof mechanisms with the objective of optimizing the social utility. For the dual character facility location game, we propose a strategy-proof optimal mechanism when misreporting is restricted to agents' preferences, and give a 1/3-approximation deterministic group strategy-proof mechanism when both location and preference are considered as private information. For the two-opposite-facility location game with limited distance, when the number of agents is even (denoted as 2k), we give a 1/k-approximation deterministic group strategy-proof mechanism, and when the number of agents is odd (denoted as 1/2k - 1), we propose a -approximation deterministic group strategy-proof mechanism. The approximation ratios for both mechanisms are proved to be the best a deterministic strategy-proof mechanism can achieve.
AB - In this paper, we focus on the facility location games with the property of dual preference. Dual preference property indicates that both two preferences of agents, staying close to and staying away from the facility (s), exist in the facility location game. We will explore two types of facility location games with this property, the dual character facility location game and the two-oppositefacility location game with limited distance which model the scenarios in real life. For both of them, we wish to design strategy-proof mechanisms or group strategyproof mechanisms with the objective of optimizing the social utility. For the dual character facility location game, we propose a strategy-proof optimal mechanism when misreporting is restricted to agents' preferences, and give a 1/3-approximation deterministic group strategy-proof mechanism when both location and preference are considered as private information. For the two-opposite-facility location game with limited distance, when the number of agents is even (denoted as 2k), we give a 1/k-approximation deterministic group strategy-proof mechanism, and when the number of agents is odd (denoted as 1/2k - 1), we propose a -approximation deterministic group strategy-proof mechanism. The approximation ratios for both mechanisms are proved to be the best a deterministic strategy-proof mechanism can achieve.
KW - Algorithmic mechanism design
KW - Dual preferences
KW - Facility location
KW - Mechanisms without money
UR - https://www.scopus.com/pages/publications/84945189683
M3 - 会议稿件
AN - SCOPUS:84945189683
T3 - Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS
SP - 615
EP - 623
BT - AAMAS 2015 - Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems
A2 - Elkind, Edith
A2 - Weiss, Gerhard
A2 - Yolum, Pinar
A2 - Bordini, Rafael H.
PB - International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)
T2 - 14th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2015
Y2 - 4 May 2015 through 8 May 2015
ER -