Can someone tell me if the following makes sense? I want to use Bayesian networks for sysops. What I have in mind is hooking logging, process information (e.g. resource usage), and other information as nodes to a Bayesian network and then training it in a production environment. From my admittedly small understanding, it seems like a properly configured network like that will be able to triage issues and even infer causes and take potential actions to correct them. Of course you would need to limit it's ability to act so it doesn't decide to hose your entire system. Since it has the power in some sense to observe, it can even train itself by observing the results of its actions.<p>Anyone know of anything like this being used or have ideas why this would be stupid to do outside of it being difficult to get right?
See also Bayesian Networks Without Tears[1]<p>[<a href="http://www.cs.ubc.ca/~murphyk/Bayes/Charniak_91.pdf" rel="nofollow">http://www.cs.ubc.ca/~murphyk/Bayes/Charniak_91.pdf</a>]