without feedback, the experiment allows a stronger test of "no-feedback learning" as well as a better understanding of the … learning transfers to new games. Current theories of learning model learning as adjustment in behavior in response to feedback … about outcomes and payoffs and largely ignore the possibility that learning may take place in the absence of such feedback …

. They may fail to do so in similar but more demanding settings. Given the opportunity, they transfer learning from the …

'Cournot contest' games and consider the three leading DRs in game theory: payoff-based learning, best-response, and imitation …

periods of varying length that full accounts of subjects' learning requires the consideration of, both, 'period time' and …

-monotonic relationship in the learning-to-forecast experiments and this non-monotonicity persists in the learning-to-optimize design. Third …, convergence in the learning-to-optimize experiment is more challenging to achieve: coordination on the two-cycle is never observed …

In this paper, we discuss learning behavior and the heterogeneity of subjects' ability to perform in real-effort tasks …. Afterwards, we present a novel variant of Erkal et al.'s (2011) encryption real-effort task which aims to minimize learning …-randomization mechanism to minimize learning and heterogeneity. Existing experiments with repeated real-effort tasks find a performance …

We test the population rule learning model for symmetric normal-form games, and strongly reject: (i) no rule learning …

collective learning. The present paper provides a summary of this research. …

accuracy is conducive to unstable best-response dynamics. We define the barrier to learning as the minimum level of noise which … the role of strategy restrictions in reducing or amplifying barriers to learning …

We study learning by privately informed forward-looking agents in a simple repeated-action setting of social learning …