Whereas the human brain is well suited for finding complex relationships, it is only such computer simulations that are adept at tracing numerous dynamic relationships simultaneously over time. Unfortunately the theories and simulations are based on data series established and accepted in the past. New events, or configurations of crises, not envisaged by the theories and for which no theoretically acceptable data exists, cannot be rapidly incorporated into such models. The models may even have to be totally redesigned to handle such data which cross, interlink, and call into question, existing categories. As in warfare, there is a limit to the degree to which reliance can be placed on simulation of the evolution of a battle.
Unforeseen situations require another form of data.
In response to the competition between global models, modellers have been encouraged to specialize. The authors also draw attention to the growing domination of economists in modelling initiatives. Seigmann stresses that world modelling continues to be scattered across a variety of fields. This affects both the consolidation of world modelling into a scholarly discipline, and the establishment of its usefulness to policy-makers and other possible sponsors of global modelling. This project is an effort to offer an alternative to this tendency.