Communication Leading to Nash Equilibrium Through Robust Messages – S5-Knowledge Model Case –

  • Takashi Matsuhisa
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4616)

Abstract

A communication process in the S5-knowledge model is presented which leads to a Nash equilibrium of a strategic form game through robust messages. In the communication process each player predicts the other players’ actions under his/her private information. The players communicate privately their conjectures through message according to the communication graph, where each recipient of the message learns and revises his/her conjecture. The emphasis is on that each player sends not exact information about his/her individual conjecture but robust information about the conjectures to an accuracy ε.

AMS 2000 Mathematics Subject Classification: Primary 91A35, Secondary 03B45.

Journal of Economic Literature Classification: C62, C78.

Keywords

Communication Robust message Nash equilibrium Protocol Conjecture Non-corporative game S5-knowledge model 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Aumann, R.J., Brandenburger, A.: Epistemic conditions for mixed strategy Nash equilibrium. Econometrica 63, 1161–1180 (1995)MATHCrossRefMathSciNetGoogle Scholar
  2. 2.
    Bacharach, M.: Some extensions of a claim of Aumann in an axiomatic model of knowledge. Journal of Economic Theory 37, 167–190 (1985)MATHCrossRefMathSciNetGoogle Scholar
  3. 3.
    Binmore, K.: Fun and Games. xxx+, p. 642 Lexington, Massachusetts USA: D. C. Heath and Company (1992).Google Scholar
  4. 4.
    Jordan, J.S.: Bayesian learning in normal form games. Games and Economic Behavior 3, 60–81 (1991)MATHCrossRefMathSciNetGoogle Scholar
  5. 5.
    Kalai, E., Lehrer, E.: Rational learning to mixed strategy Nash equilibrium. Econometrica 61, 1019–1045 (1993)MATHCrossRefMathSciNetGoogle Scholar
  6. 6.
    Matsuhisa, T.: Communication leading to mixed strategy Nash equilibrium I. In: Maruyama, T. (ed.) Mathematical Economics, Suri-Kaiseki-Kenkyusyo Kokyuroku, vol. 1165, pp. 245–256 (2000)Google Scholar
  7. 7.
    Matsuhisa, T.: Communication leading to epsilon-mixed strategy Nash equilibrium, Working paper. IMGTA XIV. The extended abstract was presented in the XIV Italian Meeting of Game Theory and Applications (July 11-14, 2001)Google Scholar
  8. 8.
    Matsuhisa, T.: Communication leading to a Nash equilibrium without acyclic condition (S4-knowledge case). In: Bubak, M., van Albada, G.D., Sloot, P.M.A., Dongarra, J.J. (eds.) ICCS 2004. LNCS, vol. 3039, pp. 884–891. Springer, Heidelberg (2004)Google Scholar
  9. 9.
    Matsuhisa, T.: Bayesian communication under rough sets information. In: Butz, C.J., et al. (eds.) IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology. WI-ITA 2006 Workshop Proceedings, pp. 378–381. IEEE Computer Society, Los Alamitos (2006)CrossRefGoogle Scholar
  10. 10.
    Matsuhisa, T., Strokan, P.: Bayesian belief communication leading to a Nash equilibrium in belief. In: Deng, X., Ye, Y. (eds.) WINE 2005. LNCS, vol. 3828, pp. 299–306. Springer, Heidelberg (2005)CrossRefGoogle Scholar
  11. 11.
    Monderer, D., Samet, D.: Approximating common knowledge with common beliefs. Games and Economic Behaviors 1, 170–190 (1989)MATHCrossRefMathSciNetGoogle Scholar
  12. 12.
    Nash, J.F.: Equilibrium points in n-person games. In: Proceedings of the National Academy of Sciences of the United States of America, vol. 36, pp. 48–49 (1950)Google Scholar
  13. 13.
    Parikh, R., Krasucki, P.: Communication, consensus, and knowledge. Journal of Economic Theory 52, 178–189 (1990)MATHCrossRefMathSciNetGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Takashi Matsuhisa
    • 1
  1. 1.Department of Liberal Arts and Sciences, Ibaraki National College of Technology Nakane 866, Hitachinaka-shi, Ibaraki 312-8508Japan

Personalised recommendations