Table 1.

Summary of results from testing the three different learning rules together. (The table details the statistical significance of the three learning rules (payoff-based learning, pro-social learning and conditional cooperation) for the three information treatments (black box, standard and enhanced). ✓, estimators significantly support direction of hypothesis in this treatment. ✗, estimators significantly contradict direction of hypothesis in this treatment, n.s., non-significant. The values represent the estimate of the effects of unit changes in the hypothesis-specific predictor variables on the response variable; positive (negative) parameter estimators support (contradict) the respective hypothesis. Table 2 details the regressions fully.)

	black box	standard	enhanced
payoff-based learning	✓ 0.30*	✓ 0.25*	✓ 0.14*
pro-social learninga	✗ −0.13*	✗ −0.23*	✗ −0.29*
conditional cooperationa	n.s. 0.05	✓ 0.21*	n.s. −0.001

*significance < 0.001.

^aControlling for payoff-based learning.