Rename and False-Name Manipulations in Discrete Facility Location with Optional Preferences

Tomohiro Ono, Taiki Todo, Makoto Yokoo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationPRIMA 2017
Subtitle of host publicationPrinciples and Practice of Multi-Agent Systems - 20th International Conference, Proceedings
EditorsAna Bazzan, Serena Villata, Bo An, Joao Leite, Leendert van der Torre
PublisherSpringer Verlag
Pages163-179
Number of pages17
ISBN (Print)9783319691305
DOIs
Publication statusPublished - 2017
Event20th International Conference on Principles and Practice of Multi-Agent Systems, PRIMA 2017 - Nice, France
Duration: Oct 30 2017Nov 3 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10621 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other20th International Conference on Principles and Practice of Multi-Agent Systems, PRIMA 2017
Country/TerritoryFrance
CityNice
Period10/30/1711/3/17

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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