Recent content by arthurthinker26

A practical understanding of AI Game Worlds starts with knowing what the system does well, where it is unreliable, and how to validate the result. One important area is learning curve. Define what a good result looks like before changing tools or settings, then test one variable at a time so...

The point about step and real-world is interesting. In practice I would keep the first test simple, record what worked, and only add extra complexity if it solves a specific limitation. It is usually easier to troubleshoot when each change is tested on its own.