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. 2016 Feb 5;371(1687):20150099. doi: 10.1098/rstb.2015.0099

Table 1.

Simulation results. Evolution in a finite ILGR population simulation with 106 groups was simulated for 1100 time periods. Initially, frequency of type A was p0 and groups were formed at random. Population regulation was given by the logistic Inline graphic Inline graphic and δ = 0.01. There were three pay-off functions that gave the incremental effect of social behaviour on the expected number of offspring of types A and N in a group in which As had frequency x. Linear: Inline graphic and Inline graphic. Threshold: for Inline graphic Inline graphic and Inline graphic, and for Inline graphic Inline graphic and Inline graphic Iterated Public Goods Game (IPG): for Inline graphic Inline graphic and Inline graphic, and for Inline graphic Inline graphic and Inline graphic The observed value of Q is the average of values in the interval [100,1100] calculated using (33) in the electronic supplementary material. The first 100 time periods were ignored to allow the population to reach demographic quasi-equilibrium. The predicted value of Q is given by (3.4). The observed moments of the distribution of x were calculated using the empirical distribution of x at t = 1100 and the predicted ones were calculated using the beta(lp,lq) distribution for the values of p and Inline graphic calculated from the empirical distribution of x at t = 1100. This is the beta distribution that has the first two moments identical to the observed ones, and for these reason those first two moments are omitted from the table. The observed value of p1100 was calculated from the distribution of x at time t = 1100, and the predicted value was calculated by iterating the recursion for pt given in (3.2) and (3.3), where the betas are calculated using Inline graphic for period t, and Q is given by (3.4), beginning at time 100 with the value of p100 calculated from the simulation at time 100.

population parameters
moments of distribution of x
n0 m r0 a p0 pay-off function Q 3rd 4th 5th 6th 7th p1100
80 0.05 1 0.5 0.1 linear pred. −0.822 0.00313 0.00101 0.000388 0.000167 7.90 × 10−5 0.0697
obs. −0.816 0.00319 0.00104 0.000402 0.000174 8.30 × 10−5 0.0700
thresh. pred. −0.822 0.0439 0.0211 0.0111 0.00621 0.00368 0.283
obs. −0.821 0.0444 0.0214 0.0113 0.00641 0.00383 0.283
IPG pred. −0.822 0.00327 0.00106 0.000404 0.000173 8.12 × 10−5 0.0714
obs. −0.819 0.00338 0.00111 0.000427 0.000186 8.93 × 10−5 0.0730
320 0.05 1 0.5 0.1 linear pred. −0.822 0.00535 7.31 × 10−5 1.17 × 10−5 2.13 × 10−6 4.40 × 10−7 0.0570
obs. −0.826 0.00553 7.66 × 10−5 1.24 × 10−5 2.31 × 10−6 4.77 × 10−7 0.0568
thresh. pred. −0.822 0.0145 0.00416 0.00128 0.00417 0.000144 0.221
obs. −0.822 0.0146 0.00428 0.00131 0.00428 0.000148 0.221
IPG pred. −0.822 0.000885 0.000132 2.27 × 10−5 4.39 × 10−6 9.44 × 10−7 0.0710
obs. −0.822 0.000911 0.000137 2.39 × 10−5 4.71 × 10−6 1.03 × 10−6 0.0717
20 0.05 1 0.5 0.1 linear pred. −0.822 0.0345 0.0234 0.0172 0.0133 0.0107 0.133
obs. −0.798 0.0352 0.0241 0.0179 0.0140 0.0114 0.131
thresh. pred. −0.822 0.170 0.131 0.107 0.0901 0.0771 0.366
obs. −0.801 0.171 0.133 0.109 0.0923 0.0803 0.397
IPG pred. −0.822 0.0180 0.0118 0.00846 0.00641 0.00510 0.0740
obs. −0.797 0.0184 0.0121 0.00881 0.00681 0.00543 0.0787
40 0.05 1 1 0.1 linear pred. −0.903 0.00784 0.00381 0.00211 0.00127 0.000822 0.0771
obs. −0.903 0.00808 0.00396 0.00221 0.00135 0.000885 0.0740
thresh. pred. −0.903 0.0515 0.0300 0.0191 0.0130 0.00926 0.261
obs. −0.902 0.0525 0.0308 0.0198 0.0136 0.00978 0.250
40 0.1 1 0.5 0.1 linear pred. −0.681 0.00480 0.00170 0.000700 0.000320 0.000160 0.0842
obs. −0.664 0.00475 0.00165 0.000670 0.000305 0.000152 0.0861
thresh. pred. −0.681 0.0908 0.0512 0.0308 0.0196 0.0129 0.380
obs. −0.673 0.0908 0.0511 0.0308 0.0196 0.0131 0.384
80 0.05 0.5 0.5 0.1 linear pred. −0.698 0.00393 0.00132 0.000513 0.000225 0.000108 0.0802
obs. −0.686 0.00408 0.00138 0.000546 0.000243 0.000118 0.0805
thresh. pred. −0.698 0.0794 0.0431 0.0249 0.0152 0.00978 0.361
obs. −0.700 0.0801 0.0435 0.0254 0.0156 0.0101 0.367
80 0.05 1 0.05 0.1 linear pred. −0.316 0.00774 0.00279 0.00116 0.00531 0.000265 0.120
obs. −0.315 0.00800 0.00291 0.00122 0.00566 0.000285 0.120
thresh. pred. −0.316 0.172 0.110 0.0740 0.0515 0.0414 0.504
obs. −0.318 0.174 0.112 0.0755 0.0529 0.0383 0.507
80 0.05 1 0.5 0.9 linear pred. −0.822 0.668 0.600 0.544 0.497 0.458 0.858
obs. −0.818 0.669 0.602 0.547 0.501 0.462 0.860
thresh. pred. −0.822 0.856 0.821 0.790 0.762 0.738 0.942
obs. −0.780 0.856 0.822 0.791 0.763 0.740 0.943