Demo 1 · Outcome devaluation
Train a lever-press response over several sessions, then test it when the outcome is still valued or has been devalued (made worthless). Early in training the response is goal-directed and collapses under devaluation; with more training a stimulus–response habit takes over and persists.
Demo 2 · How automaticity grows
Repeating a behavior in a stable context raises its automaticity along a negatively accelerated curve — steep at first, then flattening. Context consistency sets how fast the curve climbs. The model is A(n) = 1 − e−kn, fitted by Lally et al. (2010).
Demo 3 · Which system is in control?
Both controllers are always present; arbitration weights each by its reliability. Over-training makes the habit reliable; a volatile environment makes the goal-directed model unreliable. A softmax over the two reliabilities sets the share of control.