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game dynamics of infinite populations. The replicator equation, in which general payoffs are inter- preted as contributions to individual fitness (Taylor and Jonker, 1978; Hofbauer et al., 1979; Zeeman, 1980; Schuster and Sigmund, 1983; Hofbauer and Sigmund, 1988, 1998) provides an evolution- ary set
in which having a different behavior than one's partner produces a higher payoff. Doves cooperate by sharing resources but retreat when challenged. Hawks do not cooperate. They are ready to fight to avoid leaving an interaction empty-handed. A Hawk gets the entire resource when facing a Dove but suff
fitness theory (Seger 1981, Grafen 1985, 2006, Queller 1985, Taylor 1992b, Taylor & Frank 1996, Frank 1998, Rousset & Billiard 2000, Rousset 2004, Taylor et al 2000, 2007b). In this paper, we explore the interaction between two strategies, A and B, given by the payoff matrix A B Ara b) B c d (
14 6.2 Mixed games with 2 strategies 119 6.3 Mixed games with two pure strategies 122 6.3.1 A resealed payoff matrix 125 6.3.2 Example: Hawks and Doves 126 6.4 A mixed 3-game: Cooperators, Defectors, Loners 130 6.5 Mixed games with n pure strategies 135 6.6 Conclusion 136 B
e 417, 611-617. [109] Nowak, M.A., Krakauer, D.C., (1999). The evolution of language. P Natl Acad Sci USA 96: 8028-8033. [110] Nowak MA, A Sasaki, C Taylor, D Fudenberg, 2004. Emergence of cooperation and evolutionary stability in finite populations. Nature 428, 646-650. [111] Nowak, M. A. and Sigmund,
. 0, the mixed phase extends to the quarter-plane a > 0, > 0. For large mutation ratesµ —• co, however, the mixed phase disappears. 6.3.2 Example: Hawks and Doves As an example, we consider the Hawk-Dove game (Maynard-Smith 1982, Houston Mcishunara 1988, Houston Sc McNamara 1991, IvIesterton-Gibbons
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