Once an element is developed as a model, the model can be changed. A changed
model will have other associated truths, so that, when treated as an element
of the main model, it has another set of properties. Thus the properties
cannot be changed in a direct way, but through the changes in the model.
In any case, a main model can operate only with elements, regardless of the
fact that the element is or not already developed as a model.
We already use terms as "long range models" or "short range models". Let's
define them.
A long-range model has already been defined as a model with its own elements
developed as models. But here we will prefer another alternative definition. A
long-range model is a model which reaches its aims by activation and
deactivation of some of its elements. Such elements are already developed as
models.
A short-range model reaches its aims by direct activation.
Example: to switch on the light in a room, a ZM model will make a ZAM. That
ZAM will simulate the action. Based on this simulation it will activate an AZM
which, in turn, will switch on the light. The ZM-model will confirm the
success of the activity of the short-range ZAM model.
Example: To travel from a place to another, a ZM will make a ZAM. The ZAM will
make some ZAMs. These ZAMs will make some others ZAMs. For any specific
activity there will be a ZAM. Once a ZAM has reached its aim, it will be
deactivated by the ZAM-model which activated it, and a new ZAM is activated.
The general control belongs to the main-ZAM. The main-ZAM can be modified by
the main ZM. Long-range models do such activity.
Example: we enter a room and switch on the light. The light really switches
on. A local-ZM gets this information based on IR. But, a long-range ZM, which
contains the local-ZM as an element, understands that the light had been
broken, and now it is on. The local-ZM acts here as a shorter-range model. It
does not understand the general environment. The main-ZM (which contains the
local-ZM as element) is a long-range model.
We already saw that any model can activate any of its elements to self-develop
as a model. Once an element is activated, it develops itself as a model. In
turn, this new model can also activate as a model any of its elements. This
"depth" has only technological limits. In fact, almost any model of the brain
is a long-range model. The definitions, which are already given, respect this
feature.
Now we shall present a list with the main models of a brain:
ZAM: these models are usually long-range models. A ZM model makes them. Their
main function is to change the external reality. They are made for immediate
activation (to drink water from a glass, for instance) or they could be models
that give the orientation of the whole life of a person or anything between
these very large limits.
Public-domain text, read in full here on John Shaqi.
Reviews
Reviews
No reviews yet
Be the first to share your thoughts on this work.
Join the Discussion
Join the discussion
Sign in to leave a comment or review.
Sign InorCreate an account