We know that AI is one of the most important part of Game Programming. Bayesian networks is one of the core part of AI at Game Programming.
Bayesian networks are graphs that compactly represent the relationship between random variables for a given problem. These graphs aid in performing reasoning or decision making in the face of uncertainty.
I am utilizing the
monte carlo method and
- But this take too much time and sometimes crashes due to memory.
Is there any way to implement this efficiently?