 On paper, at least, static and sequential decision models look very different. The static model has familiar tabular or normal form, with each row representing an available act/option, and columns representing the different possible states of the world that yield a given outcome for each act. The sequential decision model, on the other hand, has tree or extensive form (such as in  Figure 1).  It depicts a series of anticipated choice points, where the branches extending from a choice point represent the options at that choice point. Some of these branches lead to further choice points, often after the resolution of some uncertainty due to new evidence.