A basic functional facility of the brain is that any model can develop any of
its elements as a model. Once a model activates an element, that element is
able to develop itself as a model, by direct interaction with the external
reality and with any other model of the brain.
Another functional facility is described here. We see that a model can
activate any of its elements to develop itself as a model. But, even if an
element is already developed as a model, the main model continues to treat it
as an element. This important feature will be developed below.
So, a main model has an element. This element has some properties. To
integrate that element, the main model uses these properties. Now, the
problems could be like: "why that element has such properties?" or "how such
properties can be changed?" To answer such questions, the main model has to
develop the element as a model. Once an element is developed as a model, its
properties appear to be truths generated by the model. So, depending of the
point of view, referring to the same entity, we discuss about an element with
some properties, or about a model with some associated truths.
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.
Such models are not changed by direct interaction with the external reality.
If a ZAM fails to do something, the upper ZAM or the local-ZM will build and
activate another ZAM.
During their activity, they have full access to any resource of the brain
(internal or external, by a ZM model).
AZM: these short-range models are direct-action models. They are connected
directly to different organs which can act on the external reality (hands,
legs..) They keep precise information about such organs. When a ZAM model has
to make a simulation of a specific action, the AZM models have to give precise
information about every feature of the associated organs.
Referring to ZAM and AZM models, any action on the external reality is based
on a simulation. Without a successful simulation, the brain is not able to do
any activity.
Once a simulation is a success, the main ZAM will activate the action (in
connection with local-ZM). The action will be the same as the simulated
action. This procedure is followed by any ZAM in any activity.
There are some exceptions. When the PSM takes control, some reflex-models are
activated without initialization and without simulation. The reason is the
highest speed of action, even if the action is not the right one.