In this paper we introduce four new learning models: impulse balance learning, impulse matching learning, action … reinforcement learning, we conduct simulations over 12 different 2×2 games and compare the results with experimental data obtained …-sampling learning and impulse matching learning successfully replicate the experimental data on the aggregate, they fail in describing …

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

This paper extends several existing learning models to investigate their fixed points (their long run predictions of …

Experimental data is used to test a variety of learning models using a model that extends several of the existing … learning models. Generally, the parameter estimate are in the expected ranges. Individual agent parameter estimates indicate … experienced over those not experienced). We reject the rote learning version of the model in favour of a (weak) belief learning …

evolution, is often a negligible factor in the experiment. Behaviour is predominantly driven by reinforcement learning. …This study disentangles experimentally imitation, reinforcement, and reciprocity in repeated prisoners' dilemmas. We … estimate parameters of a learning model. We find that imitation, while assumed to be a driving force in many models of spatial …

ambiguous lotteries. In the second experiment the sample averages do not converge.If we define fictive learning in an experiment …, then we expect fictive learning in the first experiment, but no fictive learning in the second experiment. The surprising … finding in this paper is the presence of fictive learning in the second experiment. We attribute this counterintuitive result …

results are extended to a model of learning, in which type k plays a k times iterated best response the average of past play …