There is an important difference, though. For people, knowledge must eventually refer back to experience, and people experience the world with their bodies, their brains, their reproductive systems, which computers don't have. Like us, its knowledge has been acquired cumulatively. Once it understands the concept of a leaf cluster, for example, it can make use of that knowledge whenever it needs it. We don't need to understand the principles that govern plant growth in order to recognize and record the difference between a cactus and a willow tree in a drawing.
Similar principles hold for the formation of leaves and leaf clusters.
It begins the generation of each new example with a general model and then branches from it. In part, more knowledge is required to cope with the fact that bodies move around. Conceptually, this isn't as difficult as it may seem, at least for standing positions with one or both feet on the ground. It's just a matter of keeping the center of gravity over the base and, where necessary, using the arms for fine tuning. What I've outlined here constitutes an important part of that necessary knowledge, but not the whole of it.