# AI Game Programming : Bayesian Networks, how to make efficient?

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 genetic algorithms.

• But this take too much time and sometimes crashes due to memory.

Is there any way to implement this efficiently?

• Care to give an example as to what goal you wish to achieve using this system, where will this AI be implemented? Just curious – AturSams Sep 25 '12 at 14:06