AI Game Programming : Bayesian Networks, how to make efficient?
- by Mahbubur R Aaman
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.
Here me, utilizing the monte carlo method and genetic algorithms.
But tooks much time and sometimes crashes due to memory.
Is there any way to implement efficiently?