This is MoQ wimple model N1. Each layer within it will be called layer N1(1,2,3, or 4). Here I have attempted to attribute model N1 by breaking down all life into 4 categories. In choosing to label layer (1) as micro-life, I have included all bateria, virus and other microscopic life forms. Layer (2) will contain all insects, including spiders. Layer (3) will contain all plant life, and layer N1(4) will contain all plant life, and layer (4) will contain all animal life.
Lets say we wish to know what layer human beings belong in. We will construct MoQ wimple model N1(4), which contains all animals, and see where humans should be attributed in it.
Here I have divided up all animals into four attributes and assigned them to MoQ wimple model N1(4). By looking at the model, we know that to find where humans are attributed, we will have to construct another model and name it N1(4)(4) to continue our search. I am not going to do that now, but I wanted to demonstrate the way in which the MoQ wimple model is used to quantify knowledge in a meaningful way that relates directly to observations.