Trial-by-trial evolution of learning.

<p>For the experimental data we averaged over subjects to compute the probability that the correct action was chosen on the basis of the fraction of subjects that chose the correct action in each trial. For the model we determined the probability of choosing the correct action by computing the probability of choosing the correct action given the action and observation stream of each subject and again averaged over subjects. All curves were smoothed with a Savitzky-Golay-Filter of polynomial order 1 and length 11.