The crucial difference is that when making this choice in a traditional historybased model, the model designer inevitably makes strong independence assumptions because features that are not included are deemed totally irrelevant.
iSBNs can avoid such a priori independence assumptions because information can be passed repeatedly from latent variables to latent variables along the edges of the graphical model.