Before revision:  This speaks to the unifying potential of active inference , as the objective optimised during action selection subsumes many important quantities used in decision-making in the physical, engineering, and life sciences .
After revision:  This clarifies the connection between active inference and reinforcement learning, and how both frameworks may benefit from each other .