GCL is the first symbolic model generated by the human brain. At the
beginning, only its spoken form existed, later it appeared as a written
language too.
As the purpose of the construction of models is to predict the evolution of
external reality, GCL was always associated directly or indirectly with
external reality.
GCL is a very special symbolic model. It is used both for general
communication and for building other more precise symbolic models.
Examples of developed languages included in GCL: diplomatic language, juridic
language, logical and mathematical language, languages based on gestures and
signs, computer languages.
GCL can be used to build symbolic models that are associated to external
reality, e.g. the positive sciences.
It is supposed that GCL occurs by spontaneous interaction between people but
this is an abnormal mode of occurence. It is not clear to me that a language
can start from scratch, but let's suppose so. The abnormal mode of occurence
is associated with another aspect. The language for any device used to process
information (as the brain is) is made of a collection of terms and relations.
Any element/relation of the symbolic model (language) must be associated with
a component/function of the hardware. That is, the hardware must be known
before the language is built. This is the normal situation, e.g. when a
computer, which has no associated programs, has to be used.
But, as it is believed, the language used by the brain appeared without
knowing the hardware. The main consequence is that all the words, which have
to be associated with the basic feature of the hardware, have no precise
definition.
Thus, we find in dictionaries what I call "external definition" of the words.
That is, such definitions are not based on the hardware. MDT as a theory
associated with the hardware, generates "internal definitions" of the words.
Some such definitions will be given below.
Dictionary of internal definitions for some words:
1. To believe: there is an incomplete (unstable) model. Such a model could
become stable (harmonic/logic) if some artificial elements/relations are
included (artificial means that something is not generated by the interaction
with the external reality). After such changes, the model becomes stable. Any
truth generated by such a model must be associated with the word "to believe".
Also, the artificial changes must be specified before.
2. To know: there is a stable model (harmonic/logic) which is integrated in a
stable structure of models. Any truth generated by such a model can be
associated with "to know". I want to emphasize that from this does not result
in any way that the truth is correct, when compared to the external reality.
"To know" means just that the whole structure of models of the brain supports
that truth, and nothing more! As one can see, "to know" is associated only to
the structure of models, and not to the external reality.
3. As I know: there are some models which support a truth but some other
related models are not good enough to support that truth.
4. Correct, to be correct: this term has at least two meanings.
4a. There is a model generating a prediction in association with the external
reality. This prediction is compared with IR. If the result is positive, then
the truth is correct.
4b. There is a stable structure of models. Such a structure has already
predicted a large number of correct (4a) truths. In such a situation, any
truth generated by the structure is considered to be correct (see also the
definition of the term "to know").
To be correct based on definition 4a means to make an experiment (any
comparison between a prediction and IR is called "experiment"). There are a
very limited situation when an experiment can or may be done (e.g. if the
problem is to verify if a bridge will survive or not in case of an earthquake,
then such a problem cannot be solved based on an experiment).
Let's analize now a little the word "wrong". If a model generates wrong
predictions based on IR, this does not mean usually that the model is wrong.
This word is usually associated to a model, which is not suitable to a
specific external reality.
For instance Newton's Mechanics is wrong for objects, which travel at a speed
comparable with the speed of light, but is correct at low speed.
5. To understand: there is an incomplete model and there is an IR (from
external reality or from other models). The model is selfimproving based on
that IR. The term "understand" is used when a model is improved in such a way.