Planning Models for Two-Way Avoidance and Reversal Learning

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