Epstein Secrets

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

covered numerous situations in which cooperative or otherwise helping behaviors are detrimental t0 the individual or selectively disad- vantageous (Hofbauer and Sigmund, 1998; Mesterton-Gibbons. 2000; Cressman, 2005; Schecter and Gintis, 2016). It has been shown using a variety of models that such behav

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 (

uction can be genetic or cultural. The traditional approach to evolutionary game theory is based on the replicator equation (Taylor & .Jonker 1978, Hofbauer et al 1979, Zeeman 1980, Hofbauer & Sigmund 1988,1998, 2003, Cressman 2003), which examines deterministic dynamics in infinitely large, well-mixed

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,

es over it (Nowak & Sigmund 2004). The classical approach to evolutionary game dynamics is based on the replicator equation (Taylor Sc Jonker 1978, Hofbauer et at 1979, Zeeman 1980, Hofbauer & Sigmund 1988, 1998). The population is well-mixed and infinitely large. Any two individuals are equally likely t