First, I understand that the JPA (Jump Point Search) family only works efficiently in static environments. This means it requires preprocessing to achieve high efficiency.

What I'm aiming for, however, is a real-time scenario where such preprocessing is not strictly necessary. I want to implement something akin to how many creatures with human-like vision navigate using only partial information, just as humans do in real-life situations.

Currently, trees are appearing and disappearing dynamically. In the future, such situations are expected to occur more frequently, so I am aiming to create a lightweight solution that can handle these changes in real-time.

As you mentioned, for cases like rabbits, their location information is already preprocessed and divided by zones. Since this is a small task, it doesn't impose a significant burden on the system. This information is intended to be used when wolves are searching for rabbits.

Additionally, I have recently been considering processing even smaller zones than the current ones to handle the vision of wolves more effectively.