The Brain, A Decoded Enigma | Page 5

M-model from outside (from external
reality or from other models) to improve its predictions.
If the prediction meets IR, then M will try another prediction to
improve its quality. If one or more predictions do not meet IR, then M
will replace that YR with another, and the process will continue. This
process will continue so that all the entities which are discovered by
M-models will be associated with some YMs and all the predictions of
M must confirm the M-model, unchanged. Such a model is, thus, a
stable model. When M is stable, all YMs are integrated in M in a
harmonic way.
The main function of M-models is to make a preliminary harmonic
model (stable model) associated with an external reality.
Conclusion: a M-model interacts with a section of the external reality.
M will be a model made in an informational way by analogy with that
section of the external reality. Because M is a model, all the elements
are connected between them in a harmonic way, so that the model is
stable. This stability is verified on and on in an automatic way, as long
as a specific external reality is in interaction with the specific M-model.
M-models interact with some other type models, called ZM-models.
ZM-models take some information from one or more M-models and
continue the construction of models associated with the corresponding
external reality. To do this, ZM- models interact with the other
ZM-models of the brain to improve M-models.

M-models are just preliminary models based on YM-models. A ZM
model will take any information from any other M and ZM models of
the brain, to improve it.
Example: an M-model is associated with a bus that transports people. A
ZM- model takes this information and tries to see if this bus transports
tourists or is a public transport vehicle. To do this, it will use
information taken from any other ZM-models and M-models. The aim
is to make a ZM-model, which reflects as well as possible a section of
the external reality. Because ZM is a model, it is stable and because
this model is integrated in a structure of other ZM-models, the structure
of ZM-models is stable too. This problem will be treated later in
details.
ZM-models are long-range models. This term will be explained later.
Here, the "long-range model" is understood as a model, which already
developed its elements as self standing models.
ZM models are the main models, which reflect the external reality.
We define now two very important terms: knowledge and
consciousness.
Knowledge is associated with the facility to predict the evolution of the
external reality based on a structure of harmonic/logic models. This
structure was made by a large number of interactions with many
sections of the external reality and so it already generated a large
number of good predictions. This means that the only guarantee of the
correctness of the knowledge is the confidence in that structure of
models. This issue will be developed in details later in the book.
The consciousness is the facility to make and operate a model,
associated with the external reality, where the person itself is an
element of that model. When such a model is activated, it will also find
the position of the person in the model and so it will predict the
position of the person in the external reality. This issue will also be
developed in detail in another part of the book.
We will now develop some issues associated with the term
"knowledge". We already defined knowledge as the capacity to predict
in a correct way the evolution of the external reality.
Here we use the term "correct". Let's see what it means. This term has
two definitions. One situation is when a model makes a prediction and
the prediction is compared with IR. If the prediction meets IR, then the

prediction is "correct". Unfortunately, there are very few situations
when the comparison between prediction and IR is possible.
For instance, building a bridge. A problem is, for instance, if the bridge
will be stable or not in case of an earthquake. Here we need a guarantee
that the bridge is properly built and there is no possibility to verify this
based on IR.
The second definition of the term "correct" is: the brain will consider as
"correct" any prediction based on a harmonic/logic structure of models.
To be harmonic, the structure was already verified, based on IR in
many other situations. So, the only guarantee of a "correct" prediction
is the confidence in that structure of models.
MDT is associated with the basic hardware functions of the brain. Once
we described the hardware structure, everything what the MDT predicts
is based on what the hardware is able to do. What MDT says about
knowledge is not another theory