Skip to main content
Log in

On the dynamics of word of mouth learningwith and without anticipations

  • Published:
Annals of Operations Research Aims and scope Submit manuscript

Abstract

We analyze the learning behavior of two populations engaged in playing a “battle of thesexes” game. The boundedly rational players change their strategy with some positive probabilityif they learn, via direct communication with other players, about a strategy whichcurrently has a higher payoff than their own. In games with no risk‐dominant equilibrium,this learning rule leads to convergence towards one of the pure strategies' coordinationequilibria if the initial population distributions are asymmetric. For symmetric initialpopulation distributions, depending on the players' propensity to adopt new strategies, convergencetowards the mixed strategies' equilibrium or periodic and complex behavior mightoccur. The introduction of anticipations leads to the emergence of stable fixed points of thelearning process, which are no Nash equilibria, via a fold and a transcritical bifurcation. Ifone equilibrium is risk dominant, this equilibrium has a larger basin of attraction than theother coordination state for both the dynamics with and without anticipations. However, theintroduction of anticipations increases the basin of attraction of the risk‐dominated equilibrium.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. M. Amir and S.K. Berninghaus, Another approach to mutation and learning in games, Games and Economic Behavior 14(1996)19-43.

    Google Scholar 

  2. A. Banjeree and D. Fudenberg, A Bayesian model of word-of-mouth learning, Working Paper, 1994.

  3. J. Björnerstedt and J. Weibull, Nash equilibrium and evolution by imitation, in: The Rational Foundations of Economic Behavior, eds. K. Arrow et al. Macmillan, London, 1996.

    Google Scholar 

  4. L.E. Blume, Population games, Working Paper, Cornell University, 1995.

  5. G.W. Brown, Iterative solution of games by fictitious play, in: Activity Analysis of Production and Allocation, ed. T.C. Koopmans, Cowles Commision Monographs 13, New York, 1951.

  6. H. Dawid, Learning of equilibria by a population with minimal information, Journal of Economic Behavior and Organization 31(1997)1-18.

    Google Scholar 

  7. H. Dawid, On the stability of the discrete time replicator dynamics with inertia, Mathematical Social Sciences 37(1999)265-280.

    Google Scholar 

  8. H. Dawid, Word of mouth learning in the battle of the sexes, Working Paper, University of Vienna, 1997.

  9. G. Ellison, Learning, local interaction and coordination, Econometrica 61(1993)1047-1072.

    Google Scholar 

  10. G. Ellison and D. Fudenberg, Word-of-mouth communication and social learning, Quaterly Journal of Economics 110(1995)93-125.

    Google Scholar 

  11. J.C. Harsanyi and R. Selten, A General Theory of Equilibrium Selection in Games, MIT Press, Cambridge, 1988.

    Google Scholar 

  12. J. Hofbauer, Imitation dynamics for games, Working Paper, University of Vienna, 1995.

  13. M. Kandori, G.J. Mailath and R. Rob, Learning, mutation, and long run equilibria in games, Econometrica 61(1993)29-56.

    Google Scholar 

  14. M. Kandori and R. Rob, Evolution of equilibria in the long run: A general theory and applications, Journal of Economic Theory 65(1995)383-414.

    Google Scholar 

  15. R. Karandikar, D. Mookherjee, D. Ray and F. Vega-Redondo, Evolving aspiration and cooperation, Journal of Economic Theory 80(1998)292-331.

    Google Scholar 

  16. V. Krishna, Learning in games with strategic complementarities, Working Paper No. 92-073, Harvard Business School, 1991.

  17. T. Li and J. Yorke, Period three implies chaos, American Mathematical Monthly 82(1975)985-992.

    Google Scholar 

  18. H.W. Lorenz, Nonlinear Dynamical Economics and Chaotic Motion, Springer, Berlin, 1993.

    Google Scholar 

  19. A. Matsui and K. Matsuyama, An approach to equilibrium selection, Journal of Economic Theory 65(1995)415-434.

    Google Scholar 

  20. R.B. Myerson, Game Theory: Analysis of Conflict, Harvard University Press, Cambridge, MA, 1991.

    Google Scholar 

  21. L. Samuelson, Stochastic stability in games with alternative best replies, Journal of Economic Theory 64(1994)35-65.

    Google Scholar 

  22. K. Schlag, Why imitate, and, if so, how? A bounded rational approach to multi-armed bandits, Journal of Economic Theory 78(1998)130-156.

    Google Scholar 

  23. T. Li and J. Yorke, Period three implies chaos, American Mathematical Monthly 82(1975) 985–992.

    Google Scholar 

  24. F. Vega-Redondo, Expectations, drift, and volatility in evolutionary games, Games and Economic Behavior 11(1995)391-412.

    Google Scholar 

  25. J. Weibull, Evolutionary Game Theory, MIT Press, Cambridge, MA, 1995.

    Google Scholar 

  26. P. Young, The evolution of conventions, Econometrica 61(1993)57-84.

    Google Scholar 

Download references

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Dawid, H. On the dynamics of word of mouth learningwith and without anticipations. Annals of Operations Research 89, 273–295 (1999). https://doi.org/10.1023/A:1018983808923

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1023/A:1018983808923

Keywords

Navigation