Dynamic Games and Applications

, Volume 7, Issue 1, pp 93–111 | Cite as

Fixation Probabilities of Strategies for Bimatrix Games in Finite Populations

Article

Abstract

Recent developments in stochastic evolutionary game theory in finite populations yield insights that complement the conventional deterministic evolutionary game theory in infinite populations. However, most studies of stochastic evolutionary game theory have investigated dynamics of symmetric games, although not all social and biological phenomena are described by symmetric games, e.g., social interactions between individuals having conflicting preferences or different roles. In this paper, we describe the stochastic evolutionary dynamics of two-player \(2 \times 2\) bimatrix games in finite populations. The stochastic process is modeled by a frequency-dependent Moran process without mutation. We obtained the fixation probability that the evolutionary dynamics starting from a given initial state converges to a specific absorbing state. Applying the formula to the ultimatum game, we show that evolutionary dynamics favors fairness. Furthermore, we present two novel concepts of stability for bimatrix games, based on our formula for the fixation probability, and demonstrate that one of the two serves as a criterion for equilibrium selection.

Keywords

Bimatrix games Equilibrium selection Finite population Fixation probability Stability Stochastic evolution 

References

  1. 1.
    Antal T, Traulsen A, Ohtsuki H, Tarnita CE, Nowak MA (2009) Mutation-selection equilibrium in games with multiple strategies. J Theor Biol 258:614–622MathSciNetCrossRefGoogle Scholar
  2. 2.
    Bornstein G, Budescu D, Zamir S (1997) Cooperation in intergroup, N-person, and two-person games of chicken. J Conflict Resolut 41:384–406CrossRefGoogle Scholar
  3. 3.
    Bøe T (1997) Evolutionary game theory and the battle of sexes. Chr. Michelsen Institute working paperGoogle Scholar
  4. 4.
    Chiang YS (2008) A path toward fairness: preferential association and the evolution of strategies in the ultimatum game. Ration Soc 20:173–201CrossRefGoogle Scholar
  5. 5.
    Cressman R (2003) Evolutionary dynamics and extensive form games. MIT Press, CambridgeMATHGoogle Scholar
  6. 6.
    Camerer CF (2003) Behavioral game theory: experiments on strategic interaction. Princeton University Press, PrincetonGoogle Scholar
  7. 7.
    Forber P, Smead R (2014) The evolution of fairness through spite. Proc Biol Sci 281:1–8CrossRefGoogle Scholar
  8. 8.
    Gale J, Binmore K, Samuelson L (1995) Learning to be imperfect: the ultimatum game. Games Econ Behav 8:56–90MathSciNetCrossRefMATHGoogle Scholar
  9. 9.
    Gaunersdorfer A, Hofbauer J, Sigmund K (1991) On the dynamics of asymmetric games. Theor Popul Biol 39:345–357MathSciNetCrossRefMATHGoogle Scholar
  10. 10.
    Güth W, Schmittberger R, Schwarze B (1982) An experimental analysis of ultimatum bargaining. J Econ Behav Organ 3:367–388CrossRefGoogle Scholar
  11. 11.
    Hammerstein P (1981) The role of asymmetries in animal contests. Anim Behav 29:193–205CrossRefGoogle Scholar
  12. 12.
    Harsanyi JC, Selten R (1988) A general theory of equilibrium selection in games. MIT Press, CambridgeMATHGoogle Scholar
  13. 13.
    Hauert C, Traulsen A, Brandt H, Nowak MA, Sigmund K (2007) Via freedom to coercion: the emergence of costly punishment. Science 316:1905–1907MathSciNetCrossRefMATHGoogle Scholar
  14. 14.
    Hauert C, Traulsen A, Brandt H, Nowak MA, Sigmund K (2008) Public goods with punishment and abstaining in finite and infinite populations. Biol Theory 3:114–122CrossRefGoogle Scholar
  15. 15.
    Hofbauer J (1996) Evolutionary dynamics for bimatrix games: a hamiltonian system? J Math Biol 34:675–688MathSciNetCrossRefMATHGoogle Scholar
  16. 16.
    Hofbauer J, Schuster P, Sigmund K (1979) A note on evolutionary stable strategies and game dynamics. J Theor Biol 81:609–612MathSciNetCrossRefGoogle Scholar
  17. 17.
    Hofbauer J, Sigmund K (1998) Evolutionary games and population dynamics. Cambridge University Press, CambridgeCrossRefMATHGoogle Scholar
  18. 18.
    Imhof LA, Fudenberg D, Nowak MA (2006) Evolutionary cycles of cooperation and defection. Proc Natl Acad Sci USA 102:10797–10800CrossRefGoogle Scholar
  19. 19.
    Kandori M, Mailath GJ, Rob R (1993) Learning, mutation, and long run equilibria in games. Econometrica 61:29–56MathSciNetCrossRefMATHGoogle Scholar
  20. 20.
    Kurokawa S, Ihara Y (2009) Emergence of cooperation in public goods games. Proc R Soc B Biol Sci 276:1379–1384CrossRefGoogle Scholar
  21. 21.
    Lehmann L, Rousset F (2009) Perturbation expansions of multilocus fixation probabilities for frequency-dependent selection with applications to the Hill-Robertson effect and to the joint evolution of helping and punishment. Theor Popul Biol 76:35–51CrossRefMATHGoogle Scholar
  22. 22.
    Maynard-Smith J (1982) Evolution and the theory of games. Cambridge University Press, CambridgeCrossRefMATHGoogle Scholar
  23. 23.
    Maynard-Smith J, Price GR (1973) The logic of animal conflicts. Nature 246:15–18CrossRefGoogle Scholar
  24. 24.
    Nowak MA (2006) Evolutionary dynamics: exploring the equations of life. Harvard University Press, CambridgeMATHGoogle Scholar
  25. 25.
    Nowak MA, Page K, Sigmund K (2000) Fairness versus reason in the ultimatum game. Science 289:1773–1775CrossRefGoogle Scholar
  26. 26.
    Nowak MA, Sasaki A, Taylor C, Fudenberg D (2004) Emergence of cooperation and evolutionary stability in finite populations. Nature 428:646–650CrossRefGoogle Scholar
  27. 27.
    Ohtsuki H (2010) Stochastic evolutionary dynamics of bimatrix games. J Theor Biol 264:136–142MathSciNetCrossRefGoogle Scholar
  28. 28.
    Page KM, Nowak MA, Sigmund K (2000) The spatial ultimatum game. Proc R Soc B Biol Sci 267:2177–2182CrossRefGoogle Scholar
  29. 29.
    Rand DG, Tarnita CE, Ohtsuki H, Nowak MA (2013) Evolution of fairness in the one-shot anonymous ultimatum game. Proc Natl Acad Sci USA 110:2581–2586MathSciNetCrossRefMATHGoogle Scholar
  30. 30.
    Rousset F (2003) A minimal derivation of convergence stability measures. J Theor Biol 221:665–668CrossRefGoogle Scholar
  31. 31.
    Rousset F (2004) Genetic structure and selection in subdivided populations. Princeton University Press, PrincetonGoogle Scholar
  32. 32.
    Samuelson L (1997) Evolutionary games and equilibrium selection. MIT Press, CambridgeMATHGoogle Scholar
  33. 33.
    Samuelson L, Zhang J (1992) Evolutionary stability in asymmetric games. J Econ Theory 57:363–391MathSciNetCrossRefMATHGoogle Scholar
  34. 34.
    Seleten R (1975) Reexamination of the perfectness concept for equilibrium points in extensive games. Int J Game Theory 4:25–55MathSciNetCrossRefGoogle Scholar
  35. 35.
    Selten R (1978) The chain-store paradox. Theory Decis 9:127–159MathSciNetCrossRefMATHGoogle Scholar
  36. 36.
    Sekiguchi T (2013) General conditions for strategy abundance through a self-referential mechanism under weak selection. Phys A 392:2886–2892MathSciNetCrossRefGoogle Scholar
  37. 37.
    Shirata Y (2012) The evolution of fairness under an assortative matching rule in the ultimatum game. Int J Game Theory 41:1–21MathSciNetCrossRefMATHGoogle Scholar
  38. 38.
    Taylor PD, Jonker LB (1978) Evolutionarily stable strategies and game dynamics. Math Biosci 40:145–156Google Scholar
  39. 39.
    Wakeley J (2009) Coalescent theory: an introduction. Roberts and Company Publishers, ColoradoGoogle Scholar
  40. 40.
    Weibull J (1995) Evolutionary game theory. MIT Press, CambridgeMATHGoogle Scholar
  41. 41.
    Wild G, Taylor PD (2004) Fitness and evolutionary stability in game theoretic models of finite populations. Proc R Soc Lond B Biol Sci 271:2345–2349CrossRefGoogle Scholar
  42. 42.
    Zhang Y, Gao X (2015) Stochastic evolutionary selection in heterogeneous populations for asymmetric games. Comput Econ 45:501–515CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media New York 2015

Authors and Affiliations

  1. 1.Japan Society for the Promotion of ScienceTokyoJapan
  2. 2.Department of Evolutionary Studies of Biosystems, School of Advanced SciencesSOKENDAI (The Graduate University for Advanced Studies)HayamaJapan

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