These are transition-ZMs. When there are some information from the external
reality, the normal activity of the brain is to build a normal ZM-model or to
find the best available ZM to integrate that information.
When the quantity of information is high, the brain has no technical
possibility to follow this normal mode of interaction. It is forced just to
record the information in a string-type mode. Such a record of data is called
a story-type model (S-M).
Note: some persons who already read this book were disturbed by the fact that
there are many sequences which are repeated in different parts of the book.
Unfortunately for such persons, this happened because they make story-type
models instead of a normal model. If they make story-type models and if there
is a repeated sequence, the local-ZM will jump back to the place where the
information was previously met. At that moment, the story-type models are
fragmenting. The person has lost the connection with the story-type model and
is forced to make a new one. Also, the person could try to reconnect the old
model with the new one, but this is difficult. For a person who makes a normal
model, when a sequence is repeated, this sequence will only confirm the
normal model and this is very good for the model.
Story-type models can be used as a source of information to make or develop,
off-line, normal models. Any element of such models can be developed as a
normal model later.
Although many people use this type of interaction with the external reality,
this mode of interaction is not efficient and uses a lot of the limited
resources of the brain.
Indeed, a story-type-model records the information in an explicit way, about
the same way as it is recorded on a tape-recorder. This mode is a very
primitive way of recording data. A normal model can generate a huge quantity
of information by simulation. Such information is not recorded there in an
explicit way.
Even more, a story-type model introduces non-normal relations between some
elements. As we know, a story-type model is made by elements connected between
them in the order of occurrence. So, two elements, which could have no
connection between them, could be recorded with a relation between them if
they occurred together. Anyway, there is no control and no long-range model to
control the recording of a story-type model.
Unfortunately, such models are very spread out all over the world, due to the
fact that there is too much information, and due to some big deficiencies of
the education policy.
So, an education based on normal models will reduce very much the quantity of
information, which has to be processed by a brain. The present education
policy is based on assimilation of external models. That is, the capacity to
build models is not used. So, faced with a huge quantity of information, the
population is forced to make story-type models. This will reduce even more the
capacity of the population to make normal models.
Example: a taxi driver must know any route in a city. There is a huge number
of such routes and he has to learn each, both directions. If the normal model
of the city is learned, then that taxi driver is able to find a route in any
conditions. Except for the normal model of the city, it is not necessary to
learn anything else. By story-type models (to learn routes) he has to increase
the quantity of information with every new route. This is an example, but the
situation is met in almost any field of activity. In practice, both methods
are used.
Story-type models developed as long-range models are very dangerous, because
they can stimulate induced-paranoia (XIP) or a schizophrenic-paranoiac complex
(XSPC). This is so because a story-type model has special relations between
its elements. Such relations are generated by the arbitrary occurrence of the
elements and thus, to transform the story-type model into a family of normal
models becomes difficult (the brain has to build from scratch several new
normal models, based on the information generated by a story-type model, and
this is not easy).
The story-type models are integrated in the normal structure of models and
they are controlled by that structure.