skip to main content
10.1007/978-3-030-57602-8_23guideproceedingsArticle/Chapter ViewAbstractPublication PagesConference Proceedingsacm-pubtype
Article

Multiple Facility Location Games with Envy Ratio

Published: 10 August 2020 Publication History

Abstract

We study deterministic mechanism design without money for k-facility location games with envy ratio on a real line segment, where a set of strategic agents report their locations and a social planner locates k facilities for minimizing the envy ratio. The objective of envy ratio, which is defined as the maximum over the ratios between any two agents’ utilities, is derived from fair division to measure the fairness with respect to a certain facility location profile.
The problem is studied in two settings. In the homogeneous k-facility location game where k facilities serve the same purpose, we propose a -approximate deterministic group strategyproof mechanism which is also the best deterministic strategyproof mechanism. In the heterogeneous k-facility location game where each facility serves a different purpose, when k is even, we devise the optimal and group strategyproof mechanism; when k is odd, we provide a -approximate deterministic group strategyproof mechanism.

References

[1]
Alon N, Feldman M, Procaccia AD, and Tennenholtz M Strategyproof approximation of the minimax on networks Mathematics of Operations Research 2010 35 3 513-526
[2]
Anastasiadis, E., Deligkas, A.: Heterogeneous Facility Location Games. In Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 623–631 (2018)
[3]
Cai, Q., Filos-Ratsikas, A., Filos, A., Tang, P.: Facility Location with Minimax Envy. In Proceedings of the 25th International Joint Conference on Artificial Intelligence, 137–143 (2016)
[4]
Chen, X., Hu, X., Jia, X., Li, M., Tang, Z., Wang, C.: Mechanism design for two-opposite-facility location games with penalties on distance. In Proceedings of the 11th International Symposium, 256–260 (2018)
[5]
Cheng Y, Wu W, and Zhang G Strategyproof approximation mechanisms for an obnoxious facility game on networks Theoretical Computer Science 2013 497 154-163
[6]
Ding, Y., Liu, W., Chen, X., Fang Q., Nong, Q.: Facility location game with envy ratio. Working paper, Ocean University of China (2020)
[7]
Duan, L., Li, B., Li, M., Xu, X.: Heterogenious two-facility location games with minimum distance requirement. In Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 1461–1469 (2019)
[8]
Feigenbaum, I., Sethuraman, J.: Strategyproof Mechanisms for One-Dimensional Hybrid and Obnoxious Facility Location Models. In Workshop on Incentive and Trust in E-Communities at the 29th AAAI Conference on Artificial Intelligence, 8–13 (2015)
[9]
Foley D Resource allocation and the public sector Yale Economics Essays 1967 7 45-98
[10]
Fong, K., Li, M., Lu, P., Todo, T., Yokoo, T.: Facility lcation games with fractional preferences. In Proceedings of the 32nd AAAI Conference on Artificial Intelligence, 1039–1046 (2018)
[11]
Fotakis, D., Tzamos, C.: On the power of deterministic mechanisms for facility location games. ACM Transactions on Economics and Computation 2(4), Article 15 (2014)
[12]
Li, M., Mei, L., Xu, Y., Zhang, G., Zhao, Y.: Facility location games with externalities. In Proceedings of the 18th International Conference on Autonomous Agents and Multiagent Systems, 1443–1451 (2019)
[13]
Lipton, R., Markakis, E., Mossel, E., Saberi, A.: On approximately fair allocations of indivisible goods. In Proceedings of the 5th ACM conference on Electronic commerce, 125–131 (2004)
[14]
Lu, P., Wang, Y., Zhou, Y.: Tighter bounds for facility games. In Proceedings of the 5th International Workshop on Internet and Network Economics, 137–148 (2009)
[15]
Lu, P., Sun, X., Wang, Y., Zhu, Z.: Asymptotically optimal strategy-proof mechanisms for two-facility games. In Proceedings of the 11th ACM conference on Electronic commerce, 315–324 (2010)
[16]
Mei L, Li M, Ye D, and Zhang G Facility location games with distinct desires Discrete Applied Mathematics 2019 264 148-160
[17]
Moulin H On strategy-proofness and single peakedness Public Choice 1980 35 4 437-455
[18]
Procaccia, A. D., Tennenholtz, M.: Approximate mechanism design without money. In Proceedings of the 10th ACM conference on Electronic commerce, 177–186 (2009)
[19]
Schummer J and Vohra R Strategy-proof location on a network Journal of Economic Theory 2002 104 2 405-428
[20]
Serafino P and Ventre C Heterogeneous facility location without money Theoretical Computer Science 2016 636 27-46
[21]
Varian H Equity, envy and efficiency Journal of Economic Theory 1974 9 63-91
[22]
Yuan, H., Wang, K., Fong, K., Zhang, Y., Li, M.: Facility location games with optional preference. Proceedings of the Twenty-second European Conference on ArtificialIntelligence 1520–1527, (2016)
[23]
Zhang Qiang and Li Minming Strategyproof mechanism design for facility location games with weighted agents on a line Journal of Combinatorial Optimization 2013 28 4 756-773
[24]
Zou, S., Li, M.: Facility location games with dual preference. In Proceedings of the 14th International Conference on Autonomous Agents and Multiagent Systems, 615–623 (2015)

Recommendations

Comments

Information & Contributors

Information

Published In

cover image Guide Proceedings
Algorithmic Aspects in Information and Management: 14th International Conference, AAIM 2020, Jinhua, China, August 10–12, 2020, Proceedings
Aug 2020
651 pages
ISBN:978-3-030-57601-1
DOI:10.1007/978-3-030-57602-8
  • Editors:
  • Zhao Zhang,
  • Wei Li,
  • Ding-Zhu Du

Publisher

Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 10 August 2020

Author Tags

  1. Mechanism design
  2. Facility location
  3. Strategyproof
  4. Fairness
  5. Envy ratio

Qualifiers

  • Article

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • 0
    Total Citations
  • 0
    Total Downloads
  • Downloads (Last 12 months)0
  • Downloads (Last 6 weeks)0
Reflects downloads up to 16 Jan 2025

Other Metrics

Citations

View Options

View options

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media