TY - GEN
T1 - Strategyproof Facility Location for Three Agents on a Circle
AU - Meir, Reshef
N1 - Publisher Copyright: © 2019, Springer Nature Switzerland AG.
PY - 2019
Y1 - 2019
N2 - We consider the facility location problem in a metric space, focusing on the case of three agents. We show that selecting the reported location of each agent with probability proportional to the distance between the other two agents results in a mechanism that is strategyproof in expectation, and dominates the random dictator mechanism in terms of utilitarian social welfare. We further improve the upper bound for three agents on a circle to (Formula Presented) (whereas random dictator obtains (Formula Presented) ); and provide the first lower bounds for randomized strategyproof facility location in any metric space, using linear programming.
AB - We consider the facility location problem in a metric space, focusing on the case of three agents. We show that selecting the reported location of each agent with probability proportional to the distance between the other two agents results in a mechanism that is strategyproof in expectation, and dominates the random dictator mechanism in terms of utilitarian social welfare. We further improve the upper bound for three agents on a circle to (Formula Presented) (whereas random dictator obtains (Formula Presented) ); and provide the first lower bounds for randomized strategyproof facility location in any metric space, using linear programming.
UR - http://www.scopus.com/inward/record.url?scp=85075243029&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-30473-7_2
DO - 10.1007/978-3-030-30473-7_2
M3 - منشور من مؤتمر
SN - 9783030304720
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 18
EP - 33
BT - Algorithmic Game Theory - 12th International Symposium, SAGT 2019, Proceedings
A2 - Fotakis, Dimitris
A2 - Markakis, Evangelos
T2 - 12th International Symposium on Algorithmic Game Theory, SAGT 2019
Y2 - 30 September 2019 through 3 October 2019
ER -