The paradigm of the proxel ("probability element") was recently introduced in order to provide a new algorithmic approach to analysing discrete-state stochastic models such as are represented by stochastic Petri nets or queueing systems. Proxel-based simulation is not related to either of the standard simulation approaches: it is in no way analogous to discrete-event simulation, and, although it is based on the model’s underlying stochastic process, it does not require the use of differential equations. Instead, the proxels dynamically trace the movement of probability from one state of the model to another using discretized time steps. Since the method is new, it still needs to be studied and experiments must be performed in order to fully understand its properties and behaviour. Results of such experiments will be presented and analysed in this paper. 1 Goals of the Paper Proxels are a new method for the simulation of discrete-state stochastic models. The goal of this pa...