Several applications of the network simulation language, SLN, to medical decision problems are described. The SLN language approach, elaborated in an article previously reviewed [1], is based on a logical network in which a probability is assigned to each branch from a node. SLN is the language used to input the resulting network. Thus, a network may be built to simulate the medical treatment of chronic stable angina, for instance. It is claimed that using SLN is easy and has the effect of “enfranchising” a number of users who would otherwise not consider such a technique. While the aim of making such a technique more widely available may be laudable, it is a pity that the franchise offered by SLN is limited to one single type of modeling. Furthermore, there is much research currently being carried out in the areas of programming environments and graphical interfaces for simulation, which should soon make much of the work described here seem outdated.