TY - GEN
T1 - Rename and False-Name Manipulations in Discrete Facility Location with Optional Preferences
AU - Ono, Tomohiro
AU - Todo, Taiki
AU - Yokoo, Makoto
N1 - Funding Information:
Acknowledgement. This work was partially supported by JSPS KAKENHI Grants Number 17H00761 and 17H04695.
Publisher Copyright:
© 2017, Springer International Publishing AG.
PY - 2017
Y1 - 2017
N2 - We consider the problem of locating facilities on a discrete acyclic graph, where agents’ locations are publicly known and the agents are requested to report their demands, i.e., which facilities they want to access. In this paper, we study the effect of manipulations by agents that utilize vacant vertices. Such manipulations are called rename or false-name manipulations in game theory and mechanism design literature. For locating one facility on a path, we carefully compare our model with traditional ones and clarify their differences by pointing out that some existing results in the traditional model do not carry over to our model. For locating two facilities, we analyze the existing and new mechanisms from a perspective of approximation ratio and provide non-trivial lower bounds. Finally, we introduce a new mechanism design model where richer information is available to the mechanism designer and show that under the new model false-name-proofness does not always imply population monotonicity.
AB - We consider the problem of locating facilities on a discrete acyclic graph, where agents’ locations are publicly known and the agents are requested to report their demands, i.e., which facilities they want to access. In this paper, we study the effect of manipulations by agents that utilize vacant vertices. Such manipulations are called rename or false-name manipulations in game theory and mechanism design literature. For locating one facility on a path, we carefully compare our model with traditional ones and clarify their differences by pointing out that some existing results in the traditional model do not carry over to our model. For locating two facilities, we analyze the existing and new mechanisms from a perspective of approximation ratio and provide non-trivial lower bounds. Finally, we introduce a new mechanism design model where richer information is available to the mechanism designer and show that under the new model false-name-proofness does not always imply population monotonicity.
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U2 - 10.1007/978-3-319-69131-2_10
DO - 10.1007/978-3-319-69131-2_10
M3 - Conference contribution
AN - SCOPUS:85034248849
SN - 9783319691305
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 163
EP - 179
BT - PRIMA 2017
A2 - Bazzan, Ana
A2 - Villata, Serena
A2 - An, Bo
A2 - Leite, Joao
A2 - van der Torre, Leendert
PB - Springer Verlag
T2 - 20th International Conference on Principles and Practice of Multi-Agent Systems, PRIMA 2017
Y2 - 30 October 2017 through 3 November 2017
ER -