Appendix 1—figure 4. Recovering the strategy labels of an artificial agent with the dynamic compositional strategy model based on simulated gameplay data.

The confusion matrix between the fitted strategy labels and the ground-truth strategy labels from an artificial agent is shown. The artificial agent used time-varying strategy weights to combine six strategies illustrated in the method. Strategy weights were selected based on two monkeys’ choices at the same game context determined by the location and state of Pac-Man, the pellets, the energizers, and the ghosts. We used the dynamic compositional strategy model to estimate the strategy labels from 2050 rounds of simulated data and produced the confusion matrix. In most cases, the model was able to recover the correct strategy (diagonal boxes).