A review of the approaches to the qualitative modelling of complex systems

Much work has been done in developing basic representational paradigms for the qualitative representation of complex systems. This work, however, is just the beginning. Much more needs to be done in determining the relationship between the various approaches so that the systems modeller can select the most appropriate method for the particular problem under study. Also, further work on developing other quantity spaces that reduce the qualitative ambiguity and hence result in less spurious behaviors needs to be done. Finally, realistic applications need to be tack led to determined whether these techniques will 'scale-up' to real size practical applications.