Table 2 Model selection.

PDG	log L	AIC	MSE [CI]
Fixed treatment
CC	−1209.44	2422.88	0.22 [0.22, 0.23]
MCC	−1014.31	2036.63	0.18 [0.17, 0.19]
BM	−947.67	1901.34	0.16 [0.15, 0.17]
RE	−947.40	1898.81	0.16 [0.15, 0.17]
Mixed treatment
CC	−1137.40	2278.79	0.20 [0.20, 0.21]
MCC	−930.35	1868.70	0.16 [0.15, 0.17]
BM	−757.76	1521.51	0.13 [0.12, 0.14]
RE	−803.37	1610.74	0.13 [0.13, 0.14]
PGG	log L	AIC	MSE [CI]
Fixed treatment
CC	−654.76	1315.51	0.12 [0.11, 0.12]
MCC	−352.50	715.01	0.08 [008, 0.09]
BM	−404.98	819.95	0.09 [0.08, 0.10]
RE	−369.29	744.58	0.09 [0.08, 0.09]
Mixed treatment
CC	−375.37	756.75	0.09 [0.08, 0.09]
MCC	84.88	−159.76	0.05 [0.05, 0.06]
BM	113.97	−217.94	0.05 [0.05, 0.06]
RE	114.03	−222.07	0.05 [0.05, 0.06]

The values in the parentheses are 95% confidential intervals. CC: conditional cooperation. MCC: moody conditional cooperation, BM: Bush-Mosteller model of reinforcement learning. RE: Roth-Erev model of reinforcement learning.

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