Skip to main content

The Price of Anarchy of Generic Valid Utility Systems

  • Conference paper
  • First Online:
Combinatorial Optimization and Applications (COCOA 2021)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 13135))

  • 852 Accesses

Abstract

In this paper we introduce an (ab)-generic valid utility system, a class of non-cooperative games with n players. The social utility of an outcome is measured by a submodular function. The private utility of a player is at most a times the change in social utility that would occur if the player declines to participate in the game. For any outcome, the total amount of the utility of all players is at most b times the social utility. We show that the price of anarchy of the system is at least \(\frac{a}{a+b}\) if there exist pure strategy Nash equilibria. For the case that there does not exist a pure strategy Nash equilibrium, we design a mechanism to output an outcome that gives a social utility within \(\frac{a}{2bn+a-b}\) times of the optimal.

This research was supported in part by the National Natural Science Foundation of China under grant number 12171444 and 11871442, and was also supported in part by the Natural Science Foundation of Shandong Province under grant number ZR2019MA052.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 89.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 119.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Bharathi, S., Kempe, D., Salek, M.: Competitive influence maximization in social networks. In: Deng, X., Graham, F.C. (eds.) WINE 2007. LNCS, vol. 4858, pp. 306–311. Springer, Heidelberg (2007). https://doi.org/10.1007/978-3-540-77105-0_31

    Chapter  Google Scholar 

  2. Christodoulou, G., Koutsoupias, E.: The price of anarchy of finite congestion games. In: Proceedings of the Thirty-Seventh Annual ACM Symposium on Theory of Computing, pp. 67–73. Association for Computing Machinery, New York (2005)

    Google Scholar 

  3. Goemans, M., Mirrokni, V., Vetta, A.: Sink equilibria and convergence. In: 46th Annual IEEE Symposium on Foundations of Computer Science (FOCS 2005), pp. 142–151 (2005)

    Google Scholar 

  4. Grimsman, D., Seaton, H.-J., Marden, R.-J., Brown, N.-P.: The cost of denied observation in multiagent submodular optimization. In: 2020 59th IEEE Conference on Decision and Control (CDC), pp. 1666–1671 (2020)

    Google Scholar 

  5. Hartline, J., Hoy, D., Taggart, S.: Price of anarchy for auction revenue. In: Proceedings of the Fifteenth ACM Conference on Economics and Computation, pp. 693–710 (2014)

    Google Scholar 

  6. He, X., Kempe, D.: Price of anarchy for the N-player competitive cascade game with submodular activation functions. In: Chen, Y., Immorlica, N. (eds.) WINE 2013. LNCS, vol. 8289, pp. 232–248. Springer, Heidelberg (2013). https://doi.org/10.1007/978-3-642-45046-4_20

    Chapter  Google Scholar 

  7. Johari, R., Tsitsiklis, N.-J.: Efficiency loss in a network resource allocation game. Math. Oper. Res. 29(3), 407–435 (2004)

    Article  MathSciNet  Google Scholar 

  8. Koutsoupias, E., Papadimitriou, C.: Worst-case equilibria. In: Meinel, C., Tison, S. (eds.) STACS 1999. LNCS, vol. 1563, pp. 404–413. Springer, Heidelberg (1999). https://doi.org/10.1007/3-540-49116-3_38

    Chapter  Google Scholar 

  9. Law, M.-L., Huang, J.-W., Liu, M.-Y.: Price of anarchy for congestion games in cognitive radio networks. IEEE Trans. Wireless Commun. 11(10), 3778–3787 (2012)

    Article  Google Scholar 

  10. Lucier, B., Borodin, A.: Price of anarchy for greedy auctions. In: Proceedings of the Twenty-First Annual ACM-SIAM Symposium on Discrete Algorithms, pp. 537–553 (2010)

    Google Scholar 

  11. Ma, Q., Yeh, E., Huang, J.: Selfish caching games on directed graphs. IEEE/ACM Trans. Netw. PP(99), 1–14 (2021)

    Google Scholar 

  12. Mirrokni, V.S., Vetta, A.: Convergence issues in competitive games. In: Jansen, K., Khanna, S., Rolim, J.D.P., Ron, D. (eds.) APPROX/RANDOM -2004. LNCS, vol. 3122, pp. 183–194. Springer, Heidelberg (2004). https://doi.org/10.1007/978-3-540-27821-4_17

    Chapter  Google Scholar 

  13. Nash, J.: Non-cooperative games. Ann. Math. 54(2), 286–95 (1951)

    Article  MathSciNet  Google Scholar 

  14. Roughgarden, T., Tardos, \(\acute{\text{E}}\).: How bad is selfish routing? J. ACM 49(2), 236–259 (2002)

    Google Scholar 

  15. Vetta, A.: Nash equilibria in competitive societies, with applications to facility location, traffic routing and auctions. In: 43rd Annual IEEE Symposium on Foundations of Computer Science, pp. 416–425 (2002)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Qingqin Nong .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Yang, Y., Nong, Q., Gong, S., Du, J., Liang, Y. (2021). The Price of Anarchy of Generic Valid Utility Systems. In: Du, DZ., Du, D., Wu, C., Xu, D. (eds) Combinatorial Optimization and Applications. COCOA 2021. Lecture Notes in Computer Science(), vol 13135. Springer, Cham. https://doi.org/10.1007/978-3-030-92681-6_19

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-92681-6_19

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-92680-9

  • Online ISBN: 978-3-030-92681-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics