Skip to main content

Estimation of the Owen Value Based on Sampling

  • Chapter
  • First Online:

Part of the book series: Studies in Systems, Decision and Control ((SSDC,volume 142))

Abstract

In this paper we introduce a procedure based on sampling to estimate the Owen value of a cooperative game. It is an adaptation of an analogous procedure for the estimation of the Shapley value, and it is specially useful when dealing with games having large sets of players. We provide some results in order to choose a sample size guaranteeing a bound for the absolute error with a given probability, and illustrate our procedure with an example taken from the game theoretical literature.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   219.99
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

Learn about institutional subscriptions

Notes

  1. 1.

    Alternatively, a TU-game can map each coalition to the cost that its members support when cooperating. In this case, the game is said to be a cost game and is denoted by (Nc).

  2. 2.

    Hoeffding’s inequality: Let \(\sum _{j=1}^rX_j\) be the sum of r independent random variables such that \(a_j\le X_j\le b_j\) for all \(j\in \{1,\dots ,r\}\). Then \(P(|\sum _{j=1}^rX_j-E(\sum _{j=1}^rX_j)|\ge t)\le 2 \exp (\frac{-2t^2}{\sum _{j=1}^r(b_j-a_j)^2})\).

  3. 3.

    (Nv) is a convex game when for every \(i\in N\) and every \(K,T\subseteq N\setminus \{ i\}\) with \(K\subset T\), it holds that \(v(K\cup \{ i\})-v(K)\le v(T\cup \{ i\})-v(T)\). (Nv) is a concave game when \((N,-v)\) is convex.

  4. 4.

    Popoviciu’s inequality on variances: Let M and m be an upper and a lower bound on the values of a bounded random variable X with variance \(\text{ Var }(X)\). Then, \(\text{ Var }(X)\le {\frac{1}{4}}(M-m)^{2}\).

  5. 5.

    The peseta was the official currency in Spain in 1993. One peseta is about 0.006 euros.

References

  1. Castro J, Gómez D, Tejada J (2009) Polynomial calculation of the Shapley value based on sampling. Comput Oper Res 36:1726–1730

    Article  MathSciNet  MATH  Google Scholar 

  2. Costa J (2016) A polynomial expression for the Owen value in the maintenance cost game. Optimization 65:797–809

    Article  MathSciNet  MATH  Google Scholar 

  3. Fiestras-Janeiro MG, García-Jurado I, Mosquera MA (2011) Cooperative games and cost allocation problems. Top 19:1–22

    Article  MathSciNet  MATH  Google Scholar 

  4. González-Díaz J, García-Jurado I, Fiestras-Janeiro MG (2010) An introductory course on mathematical game theory. American Mathematical Society, Providence

    Book  MATH  Google Scholar 

  5. Littlechild SC, Owen G (1973) A simple expression for the Shapley value in a special case. Manag Sci 20:370–372

    Article  MATH  Google Scholar 

  6. Maleki S (2015) Addressing the computational issues of the Shapley value with applications in the smart grid. Ph.D. thesis, Faculty of Physical Sciences and Engineering Electronics and Computer Science, Southampton University, Southampton

    Google Scholar 

  7. Owen G (1977) Values of games with a priori unions. In: Henn R, Moeschlin O (eds) Mathematical economics and game theory. Springer, Berlin

    Google Scholar 

  8. Shapley LS (1953) A value for n-person games. In: Kuhn HW, Tucker AW (eds) Contributions to the theory of games II. Princeton University Press, Princeton

    Google Scholar 

  9. Vázquez-Brage M, van den Nouweland A, García-Jurado I (1997) Owen’s coalitional value and aircraft landing fees. Math Soc Sci 34:273–286

    Article  MathSciNet  MATH  Google Scholar 

Download references

Acknowledgements

This work has been supported by MINECO grants MTM2014-53395-C3-1-P, MTM2014-53395-C3-2-P, MTM2014-53395-C3-3-P, and by the Xunta de Galicia through the ERDF (Grupos de Referencia Competitiva ED431C-2016-015 and ED431C-2016-040, and Centro Singular de Investigación de Galicia ED431G/01). Authors acknowledge J. Costa and P. Saavedra-Nieves for their comments on an earlier version of this paper.

    Ignacio García-Jurado and M. Gloria Fiestras-Janeiro would like to sincerely thank Pedro Gil for his affectionate help and welcome at various moments in their careers. In particular, Pedro Gil was the organizer of the first conference that they attended, held in Gijón, Spain, in 1985.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ignacio García-Jurado .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Saavedra-Nieves, A., García-Jurado, I., Fiestras-Janeiro, M.G. (2018). Estimation of the Owen Value Based on Sampling. In: Gil, E., Gil, E., Gil, J., Gil, M. (eds) The Mathematics of the Uncertain. Studies in Systems, Decision and Control, vol 142. Springer, Cham. https://doi.org/10.1007/978-3-319-73848-2_33

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-73848-2_33

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-73847-5

  • Online ISBN: 978-3-319-73848-2

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics