Re: [rules-users] Planning Under Uncertainty

drools-planner + drools-chance = planning under uncertainty I am looking forward to the first alpha release of drools-chance, so I can experiment with "planning under uncertainty" examples, such as "investment portfolio optimization" etc. If you want to do it today, you got 2 options as I see it: 1) Use drools-chance in your score DRL (and contribute to and fix drools-chance)   https://github.com/droolsjbpm/drools-chance 2) Write the uncertainty calculations yourself in your score DRL Both ways require you to fully understand the math behind "uncertainty calculations", which in your case are "probability calculations" I think. Here's just the beginning of the begin (Bayes' Rule etc):   http://www.khanacademy.org/video/probability--part-6   http://www.khanacademy.org/video/probability--part-7   http://www.khanacademy.org/video/probability--part-8  From a drools-planner perspective, there is no uncertainty: The score DRL's need to produce a Score for a solution which is comparable the Score of another solution of the same problem. Even if the Score instance contains probability parts (which is allowed), Planner doesn't care: you still need to define which of the 2 Score instances is better (by compareTo), something which is domain specific (and might even depend on input data like how much risk you're willing to take). -- With kind regards, Geoffrey De Smet