Skip to main content

Abstract

In resource buying games a set of players jointly buys a subset of a finite resource set E (e.g., machines, edges, or nodes in a digraph). The cost of a resource e depends on the number (or load) of players using e, and has to be paid completely by the players before it becomes available. Each player i needs at least one set of a predefined family \({\mathscr {S}}_i\subseteq 2^E\). Thus, resource buying games can be seen as a variant of congestion games in which the load-dependent costs of the resources can be shared arbitrarily among the players. A strategy of player i in resource buying games is a tuple consisting of one of i’s desired configurations \(S_i\in {\mathscr {S}}_i\) together with a payment vector \(p_i\in {\mathbb R}^E_+\) indicating how much i is willing to contribute towards the purchase of the chosen resources. In this chapter, we study the existence of pure Nash equilibria (PNE, for short) of resource buying games. In contrast to classical congestion games for which equilibria are guaranteed to exist, the existence of equilibria in resource buying games strongly depends on the underlying structure of the families \({\mathscr {S}}_i\) and the behavior of the cost functions. We show that for marginally non-increasing cost functions, matroids are the right structure to consider.

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 54.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 69.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 99.99
Price excludes VAT (USA)
  • Durable hardcover 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

Notes

  1. 1.

    \({\mathscr {B}}_i\subseteq 2^{E_i}\) is an anti-chain (w.r.t. \((2^{E_i}, \subseteq )\)) if \(B,B'\in {\mathscr {B}}_i,~ B\subseteq B'\) implies \(B=B'\).

References

  1. Ackermann, H., Röglin, H., Vöcking, B.: Pure Nash equilibria in player-specific and weighted congestion games. Theor. Comput. Sci. 410(17), 1552–1563 (2009)

    Article  MathSciNet  MATH  Google Scholar 

  2. Anshelevich, E., Caskurlu, B.: Exact and approximate equilibria for optimal group network formation. Theor. Comput. Sci. 412(39), 5298–5314 (2011)

    Article  MathSciNet  MATH  Google Scholar 

  3. Anshelevich, E., Caskurlu, B.: Price of stability in survivable network design. Theory Comput. Syst. 49(1), 98–138 (2011)

    Article  MathSciNet  MATH  Google Scholar 

  4. Anshelevich, E., Caskurlu, B., Hate, A.: Strategic multiway cut and multicut games. Theory Comput. Syst. 52(2), 200–220 (2013)

    Article  MathSciNet  MATH  Google Scholar 

  5. Anshelevich, E., Dasgupta, A., Tardos, É., Wexler, T.: Near-optimal network design with selfish agents. Theory Comput. 4(1), 77–109 (2008)

    Article  MathSciNet  MATH  Google Scholar 

  6. Anshelevich, E., Karagiozova, A.: Terminal backup, 3D matching, and covering cubic graphs. SIAM J. Comput. 40(3), 678–708 (2011)

    Article  MathSciNet  MATH  Google Scholar 

  7. Cardinal, J., Hoefer, M.: Non-cooperative facility location and covering games. Theor. Comput. Sci. 411, 1855–1876 (2010)

    Article  MathSciNet  MATH  Google Scholar 

  8. Epstein, A., Feldman, M., Mansour, Y.: Strong equilibrium in cost sharing connection games. Games Econ. Behav. 67(1), 51–68 (2009)

    Article  MathSciNet  MATH  Google Scholar 

  9. von Falkenhausen, P., Harks, T.: Optimal cost sharing for resource selection games. Math. Oper. Res. 38(1), 184–208 (2013)

    Article  MathSciNet  MATH  Google Scholar 

  10. Harks, T., Peis, B.: Resource buying games. Algorithmica 70(3), 493–512 (2014)

    Article  MathSciNet  MATH  Google Scholar 

  11. Hoefer, M.: Non-cooperative tree creation. Algorithmica 53, 104–131 (2009)

    Article  MathSciNet  MATH  Google Scholar 

  12. Hoefer, M.: Strategic cooperation in cost sharing games. Int. J. Game Theory 42(1), 29–53 (2013)

    Article  MathSciNet  MATH  Google Scholar 

  13. Hoefer, M., Skopalik, A.: On the complexity of Pareto-optimal Nash and strong equilibria. In: Konogiannis, S., Koutsoupias, E., Spirakis, P. (eds.) Proceedings of the 3rd International Symposium Algorithmic Game Theory. Lecture Notes in Computer Science, vol. 6386, pp. 312–322 (2010)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Tobias Harks .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this chapter

Cite this chapter

Harks, T., Peis , B. (2015). Resource Buying Games. In: Schulz, A., Skutella, M., Stiller, S., Wagner, D. (eds) Gems of Combinatorial Optimization and Graph Algorithms . Springer, Cham. https://doi.org/10.1007/978-3-319-24971-1_10

Download citation

Publish with us

Policies and ethics