The intrinsic complexity of self-organising multiagent systems calls for the use of formal methods to predict global system evolutions at early stages of the design process. In particular, we evaluate the use of simulations of high-level system models to analyse properties of a design, which can anticipate the detection of wrong design choices and the tuning of system parameters, so as to rapidly converge to given overall requirements and performance factors.