dynamics considerably differ between gain and loss domains. For gains, learning to be comparably ambiguity averse increases the …

-control available for persevering later. Automatic decisions follow a reinforcement-based process, while controlled ones are utility …

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 …

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 …

results are extended to a model of learning, in which type k plays a k times iterated best response the average of past play … Reasoning ; Evolution ; Learning ; Level-k ; Fictitious Play ; Cognitive Hierarchy …

-cue probability learning to obtain a direct measure for overweighting private information. We find that overweighting private …