ENDNOTES

This book can create problems to the majority of readers. The main problem is

connected to the assimilation mode of new knowledge. The usual way, promoted

by the educational system at all levels is assimilation of story-type models

(logically structured or not)in an image type environment.

This book offers no chance to those who expect a story-type model associated

with image models. It cannot be in any way associated to any image model. The

book presents a single symbolic model; it has to be understood as it is, as a

whole, based on logic.

The basic requirement is to have the capacity to build and operate symbolic

models. People who work in positive sciences (physicists, mathematicians,

engineers...) are favoured, while others have little chance to understand

anything.

Some 'test' readers of the book were displeased by the repetition of several

issues in different contexts. This method is mandatory when a new symbolic

model has to be assimilated.

The persons who have the tendency to build story-type models will be very much

disturbed by the repetitions, as the repetition sends them back to the point

where the statement appeared for the first time. This will fragment the story-

type model. Once fragmented, it cannot be continued and a new story-type model

has to be built. This produces irritation in this category of readers.

On the contrary, those who build normal models will consider repetion as

positive, as it reconfirms the correctness of the assimilated normal model.

The model is logical and thus can be developed by anybody who has abilities in

building and operating symbolic models.

A short summary has been given at the beginning of the book. Based only on

this summary and a few observations based on external reality, anybody could

rewrite, maybe even better than I, this whole book. The reason is that any

symbolic model is developed univocally based on logic.

Another aspect I want to underline is that this is a fundamental model. Based

on it, one can build an unlimited number of local models associated with

specific problems. Anybody who has assimilated the model can develop it with

his/her own resources for specific problems. E.g. this fundamental model can

generate a new positive science called "psychology".

Children starting with age 12 can understand the book. At this age, children

can build and operate relatively complex symbolic models, including computer

programming.

Humans have a basic problem related to the perception of the external reality.

I have discussed with several people who have not been disturbed by the fact

that, e.g. in psychology, the terms used have no normal definitions (only

descriptive ones). There are people who believe that a positive science is a

science that uses apparata and gives precise results of some measurements.

Even among physicists problems exist, most don't even realize that what they

are doing is integrated into symbolic models. They know very well the models

they build and operate, but some do not know the term 'symbolic model'. Many

do not realize that any symbolic model is integrated into another symbolic

one, until a fundamental symbolic model can be reached.

Example: Many will be surprised to find out that any computer program is a

symbolic model. A program written e.g. in Java, is a symbolic model. The Java

language itself is a symbolic model. Java is probably included in the symbolic

model called C++. C++ itself is included in Assembler, which on its turn is

included, together with all the programs, which have ever been written, and

any program which will ever be created, in the fundamental symbolic model

called machine language.

Whatever the level we are on, a computer program starts with the construction

of the symbolic model. This means that we need to declare the elements, their

properties and the fundamental relations in between them. This is valid for

languages based or not on algorithms. Anything which follow is called

simulation on models. Properties of elements or of relations can be changed,

and we can see what happens. Once this symbolic model is stable (has no

logical contradictions), it has to be calibrated, i.e. needs to be verified on

cases where the result is known. In most cases, the calibration implies a

larger effort than building the model.

What we obtain from any computer program is a prediction of the model. If the

program is stable (logical) and if it passed the calibration tests, then its

predictions will be compared with the external reality. We remind here that

the assembly of all predictions of a symbolic model is called reality

associated to the model.

It is not at all surprising that, in the same way as with the brain, terms as

truth or reality can be associated to a computer program, with the definitions

from MDT theory of the brain. The reason is easily understandable: we extend

to the exterior our own structure of models of the brain. Seems to be

impossible to do anything except this!

The above statement is interesting also under another aspect. Thus, no

connection exists between the basic functions of the brain and a computer.

However, we use computers to extend to the exterior the functions of our

brain.

MDT makes a few predictions that are very difficult to accept. The educational

system is based on assimilation of image and symbolic models, and verifying of

the assimilation in specific tests.

This method has a problem. Based on the theory, those who have abilities to

assimilate models have reduced qualities in building new models. The problem

is related to the fact that the level of consciousness depends on the capacity

to build new models. Thus, school has the tendency to promote individuals with

reduced level of consciousness.

MDT shows that there are people knowledge-oriented and action-oriented. The

action-oriented are not favourised by the educational system, and the ones

oriented to knowledge are overappreciated. The action-oriented people move the

society forward, and the educational system does not understand this many

times.

The theory defines schizophrenia as the incapacity to build and operate long-

range models. Long-range models are required not only for the formation of

consciousness but also for the prediction of problems that might occur in the

future. The schizophrenic method is to solve the problems as they appear, one

step at a time. An 'elaborate' form of schizophrenia is called pragmatism.

The normal way of interaction with external reality is to have long-range

models associated with the external reality. These models can predict the

occurence of future problems which can be prevented before their appearance.

Here is the English version of my book "Creierul o Enigma Descifrata" (in

Romanian) which is also available in the frame of Gutenberg Project. I want to

thank to Dr. Angela Vasilescu and Adrian Moisa for their help in the

translation.

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