On the other hand, enhancing conformity to the real world implies removing assumptions which build complexity into the model. Therefore, the scope of the model should be defined based on the required level of accuracy and representation – to balance it with an adequate level of complexity – also avoiding intricate models whose assumptions and mechanisms are poorly understood aiming for a satisfactory solution relayed on computational power.