We start by assuming that we are only dealing with 'raw' information, i.e. as it comes from perception and as it is required for bodily action.
We need to account for how action might be adapted to better fit current circumstances such as the prey turning right rather than left, for requiring more steps than in the original action.
The remembered action presumably has associated perceptions, such as the nearness of the prey, or whether the prey turns right or left. If the present action does not match the perceptions of the remembered action we should be able to use a simple variant of the learning approach to splice in an action segment that deals with this discrepancy.