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. 2023 May 25;2(6):pgad176. doi: 10.1093/pnasnexus/pgad176

Fig. 6.

Fig. 6.

Evolutionary dynamics of unbending strategies in finite populations. Shown are a) the stationary abundance of IPD strategies (as indicated on the x-axis) under the limit of rare mutations and for different selection strengths β and b) the evolutionary pathways in pairwise competition dynamics (the direction of the arrows indicates dominance where the IPD strategy at the end is favored over that at the start; double arrows indicate neutral evolution). We consider a set of prescribed IPD strategies, including members belonging to unbending strategies from class A (the PSO Gambler) and from class D (generous ZD with χ=2). TFT is an extreme boundary case of unbending strategies from class D (cf. point A in Fig. 3c). We use the Moran process for evolutionary updating and study the long-term mutation-selection equilibrium. Parameters: population size N=100, mutation rate μ0, selection strength β=0.01, 0.1, 1, payoff values: R=3, S=0, T=5, P=1.