We report experiments designed to test between Nash equilibria that are stable and unstable under learning. The 'TASP … equilibrium under fictitious play like learning processes. We use two 4 x 4 games each with a unique mixed Nash equilibrium; one … is stable and one is unstable under learning. Both games are versions of Rock-Paper-Scissors with the addition of a …

number of standard learning algorithms. The learning theories are (unbeknown to subjects) a best response process, fictitious … play, imitation, reinforcement learning, and a trial & error process. We test whether subjects try to influence those … and that all learning algorithms are subject to exploitation with the notable exception of imitation. The experiment was …

Our study analyzes theories of learning for strategic interactions in networks. Participants played two of the 2 x 2 … order shown by Selten and Chmura. This result supports our view that learning in networks is different from learning in …

, simple payoff-based learning rules eventually lead to equilibrium. Such rules have previously been documented for some forms … laboratory setting and finds strong confirmation for key features of payoff-based learning that distinguish it from classical …

performance. Measured performance equals actual performance plus noise. We compare a stable environment where the noise is small … with a volatile environment where the noise is large. Subjects exert significantly more effort in the volatile environment …

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

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