Skip to main content

Efficient Computation of Power Indices for Weighted Majority Games

  • Conference paper
Algorithms and Computation (ISAAC 2012)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7676))

Included in the following conference series:

  • 1579 Accesses

Abstract

Power indices of weighted majority games are measures of the effects of parties on the voting in a council. Among the many kinds of power indices, the Banzhaf index, the Shapley–Shubik index, and the Deegan–Packel index have been studied well. For computing these power indices, dynamic programming algorithms have been proposed. The time complexities of these algorithms are O(n 2 q), O(n 3 q), and O(n 4 q), respectively. We propose new algorithms for the problems whose time complexities are O(nq), O(n 2 q), and O(n 2 q), respectively.

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

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Aziz, H., Lachish, O., Paterson, M., Savani, R.: Power Indices in Spanning Connectivity Games. In: Goldberg, A.V., Zhou, Y. (eds.) AAIM 2009. LNCS, vol. 5564, pp. 55–67. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  2. Bachrach, Y., Rosenschein, J.S.: Computing the Banzhaf Power Index in Network Flow Games. In: AAMAS 2007 (2007)

    Google Scholar 

  3. Banzhaf III, J.F.: Weighted Voting doesn’t work. Rutgers Law Review 19, 317–343 (1965)

    Google Scholar 

  4. Brams, S.J., Affuso, P.J.: Power and size: a new paradox. Theory and Decision 7, 29–56 (1975)

    Article  MathSciNet  Google Scholar 

  5. Deegan, J., Packel, E.W.: A New Index of Power for Simple n-person Games. International Journal of Game Theory 7, 113–123 (1978)

    Article  MathSciNet  MATH  Google Scholar 

  6. Lucas, W.F.: Measuring Power in Weighted Voting Systems. In: Brams, S.J., Lucas, W.F., Straffin, P.D. (eds.) Political and Related Models, pp. 183–238. Springer (1983)

    Google Scholar 

  7. Matsui, T., Matsui, Y.: A Survey of Algorithms for Calculating Power Indices of Weighted Majority Games. Journal of the Operations Research Society of Japan 43, 71–86 (2000)

    Article  MathSciNet  MATH  Google Scholar 

  8. Shapley, L.S., Shubik, M.: A Method for Evaluating the Distribution of Power in a Committee System. American Political Science Review 48, 787–792 (1954)

    Article  Google Scholar 

  9. Shapley, L.S.: The Shapley value: essays in honor of Lloyd S. Shapley. Cambridge University Press (1988)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Uno, T. (2012). Efficient Computation of Power Indices for Weighted Majority Games. In: Chao, KM., Hsu, Ts., Lee, DT. (eds) Algorithms and Computation. ISAAC 2012. Lecture Notes in Computer Science, vol 7676. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35261-4_70

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-35261-4_70

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-35260-7

  • Online ISBN: 978-3-642-35261-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics