Epstein Secrets

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

30 40 60 60 70 80 Number of Iterations, n Fag. 0. Values °IG(n) — c(n) and b(n) — d(n) over n = 1...80 iterations for two games which begin as Prisoner's Dilemmas at n = I. In both cases, the loner survival probabilities are ck, = 4 = 0.9. PanelA: a = 0.97.6 = 0.94. c = 0.99,d = 0.95; these are the

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

asier it is for cooperators to outcompete defectors. We give a simple relationship between a and the critical benefit-to-cost ratio in a simplified Prisoner's Dilemma game. (War +1 a — (NW —1. This shows that for the purpose of establishing strategy dominance, in the limit of weak selection, it suffice

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

rs on Cooperators and Defectors. Then in 5.3.2 we show how mutation alone can make a strategy more abundant. Finally in 5.3.3 we study the repeated Prisoner's Dilemma game. 5.3.1 Cooperators, Defectors, Loners To see the difference between our weak selection and a traditional game-theoretic approach, l