Hello

We have developed a behaviour’s data driven application: when rules change data model, behaviour changes. Model is some kind of network. Each time system know a new case, we copy some piece of the model in order to rules modifies the copy, but not the model (model is protected from rules). But not all cases will fire rules, so is not efficient to build all the copy each time, when maybe there wont be rules going to fire. So the more efficient way to build the copy is: step to step exploring diferent paths, and being able to predict not succesfull paths and then cancel this not succesfull path in advance. Supposed a rule will fire 4 steps next, so step 1, 2 and 3 partial macthes must be happen. So, for each new path, after every step, I could wacth if new partial matches has happen, and if not, we can cancel this path a go in depth with other path. So the question is: is ther any way to listen partial matches being happens, and can I know number of partial matches from each rule or from a group of rules?

Thank you in advance

Alfonso González

DYNAGENT SOFTWARE