ZM models are made mainly by direct interaction with the external reality. They generate the knowledge and consciousness. They are self-activated in any situation when they are able to predict in a good way the possible evolution of a given external reality.
A ZM, which interacts directly with the external reality, is also a model, which controls the whole body. They build, activate and deactivate any ZAM, based on a set of goals.
A long-range ZM model also controls a local-ZM. This is able to modify a local-ZM model, based on long-range predictions.
The whole activity is supervised by PSM. Usually the PSM is activated only when all the available ZMs fail to control the interaction with the external reality.
A ZM model has full access to all the resources of the brain. It can take any information from any part of the brain and can make any model based on any available information.
By analyzing the normal activity of the brain, one understands that some activities use only a limited number of models. The access to some models is easier than to others. We can find very fast some information and find more slowly other. This suggests that some models, which are usually employed together, are grouped. We define a quasi-structure of models called MZM. A MZM is a group of models, which are used often together. They can be associated with some specific complex activities (job, hobby, family life, car driving and so on).
STORY-TYPE MODELS
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.