Planning Models for Two-Way Avoidance and Reversal Learning ?

Reinforcement learning models can explain various aspects of two-way avoidance learning but do not provide a rationale for the relationship found between the dynamics of initial learning and those of reversal learning. Artificial Intelligence planning offers a novel way to conceptualize the learners’ cognitive processes by providing an explicit representation of and reasoning about internal processing stages. Our hybrid planning and plan repair approach demonstrates that the empirically found relationships could be motivated from a consistent theoretical framework.