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THE BASIC FUNCTIONS OF THE BRAIN
Dorin-Teodor MOISA
moisa@ifin.nipne.ro
ABSTRACT
The basic function of the brain (human or animal) is presented in
the form of a symbolic model. There are presented also the
differences between human and animal brain and some design
deficiencies of the brain. They are analyzed: functional
structure of the brain, thinking system, the paranormal
activities and the normal and pathological brain.
FUNDAMENTAL TERMS
Image-model (or analog-model), symbolic-model, simulation on
model (or developing a model), truth, reality, input-reality,
external-reality, image, statement, symbol, general communication
language (GCL), logical and mathematical language, information,
logic, harmony.
DEFINITIONS
This theory is a symbolic-model. Any symbolic model has a list of
fundamental terms, which must be defined. For a fundamental
theory, the fundamental terms have to be introduced by
description. Also, there are a number of fundamental relations
between the fundamental terms.
Once the simbolic model is given, all the others terms are
defined based on it. It is not allowed to define a term by using
undefined terms.
The fundamental terms of this theory are: image-model,
symbolic-model, truth, simulation on model, reality, input
reality.
There are some terms, which are used without a precise enough
definition; they are "harmony" and
"information".
The terms "image-model", "symbolic-model",
"truth", "simulation on model" are used here
with their already accepted definitions in the positive sciences.
The term "image-model" is used here instead of
"analog-model". In any situation, there is a perfect
interchange between "image-model" and
"analog-model".
As the term "truth" is considered as any result of
simulation on a symbolic-model, this theory extends the
definition, in the same form, at image-models.
The term "reality" is defined by this theory as the
assembly of all the information, which are or could be generated
by a model.
The term "input-reality" means that information which
is obtained by a model from outside of it, to correct itself.
This theory considers the "external-reality" as a
supposition of our brain. The brain has access only to reality,
as it was already defined. The external-reality is treated as a
source of information but it is not a source of information. That
is, a source of information contains information inside. The
external reality is an invention of our brain; it is not a source
of information but it is treated by the brain as a source of
information.
These could be understood in the following logical structure:
1. There is a model M.
2. M obtains some information from outside of it ( from
external-reality or from anothers models).
3. M-model predicts, by simulation, something.
4. M requests some more specific information from outside to
verify the prediction. This can be done by active or passive
methods. An active method means to make an action model to be
used to change something in the external reality. A passive
method means just to observe the external reality or to take some
information from anothers models of the brain. That information
is called "input-reality" and it is used to correct the
model.
5. The process restart from point 2.
The aim of this activity is to have more and more precise
description/prediction on the external-reality.
This process is active all the time for some models of the brain,
in the limits of some unspecified technological limitations.
The term "harmony" is used here without a precise
definition. The musicians, for instance, are able to recognize
and to explain what is the harmony but they have no symbolic
definition on it. This term is used in this theory in connection
with the image-models. So, the process of simulation on
image-models is based on the laws of harmony. An image-model
evolves to become harmonic as a symbolic-model evolves to become
logic. Because some external-realities could be described by the
both types of models, there is some kind of equivalence between
harmony and logic.
Another term to be defined is "information". There are
some descriptions, based on symbolic models, which could be
considered as definition for the term "information".
Unfortunately, there is no similar term for image-models. To
understand it, the analogy with the definition on the
symbolic-models can be used.
The term "statement" has a rather precise definition in
the symbolic-model environment. This term is used here, also, for
image-models. The term has to be understood by analogy with the
definition into the symbolic-model environment.
The term "external-reality" is necessary to be
introduced because it is the only term that connects the
functions of the brain to something which (we suppose) exists
even if the brain disappears. As the theory said, the
"reality" is a product of our active models; if the
being disappears, the reality disappears also. On the other side,
the power of our models is so big than we "know" that
something exists even we disappear. This prediction is a
speculation but we "know" that our models are so
powerful than they can "guarantee" that the external
reality is "really" just what we believe that it is.
Once the theory is given, it can generate an unlimited number of
internal definitions. In the same time, the words of the common
language have already some external definitions (as they are
found in dictionaries, for instance).
We shall give some internal definitions as they are generating by
this theory, for some common words.
W1. To be correct: All predictions of a model, which are already
done, meet the input-reality. Also, all the others models of the
brain support the prediction or are not in contradiction with
them.
Warning: "to be correct" don't say anything about the
external-reality. A "correct" statement in
"correct" only in relation with the models of the
brain, not in relation with the external-reality
W2. To know: There is a correct model and also, all related
models are correct. Any truth generated by such a model is
associated with the expression "I know".
W3. As I know: There is a correct model but the related models
are not good enough to support the main model.
W4. To believe: There is a model but there are some problems to
have a harmonic/logic model. If an artificial element/relation is
added, the model could become harmonic/logic. Because an
artificial element/relation was added, it has to be used the word
"to believe" in front of any truth generated by that
artificially corrected model. So, when this term is used, it is
necessary to specify the artificial element/relation so that the
expression to have a meaning.
W4. To understand: There is a model, which is not good enough. An
information received as input-reality is well integrated in model
and so, the model is better now. "To understand" is
used when the model is improved in this way.
W5. To think: This is the main word associated with the process
of simulation on a symbolic model.
W6. To image: This is the main word associated with the process
of simulation on an image-model.
W7. To dream: This is another word associated with the process of
simulation on an image-model. The word is used also for the
result of this process. The word is used in many situations in
connection with a model, which is not well connected to external
reality.
W8. To love: Somebody/something (a person, an animal, an object,
an idea,..) is a component of the protection structure (PSM) of a
human being. This definition can be extended to animals, too. The
Protection and Surviving Model (PSM) will be described later.
Such internal definitions are about the same in relation with the
activity of animal brain. The only exceptions are the words,
which are related with symbolic-models. The animals are not able
in any way to make symbolic-models.
THE BASIC FUNCTION OF ANY BRAIN
The basic function of any brain (human or animal) is to make
image-models and to simulate the possible evolution of them. This
function of the hardware is active all the time. There are many
such functions, which are active in a brain (in the same time and
in time-sharing).
For the human brain only, there is the possibility to make
symbolic-models in the general frame of the image-models. The
capacity to make symbolic-models seems to be also a hardware
facility. The most important symbolic-model to define a brain, as
a human brain, is the symbolic-model called General Communication
Language (GCL).
The aim of any model is to become harmonic/logic (harmonic for
image-models and logic for symbolic models). That is, any result
of any simulation of the evolution of the model has to confirm
the previously data of the model. To do this, the model has to
correct itself, on an on, to met the harmonic/logic condition of
the model, using or not external information. In fact, this
hardware feature assures the stability of a model (a model
evolves to become stable). As the model becomes stable, it is
integrated in the structure of other models so that, the whole
structure of models becomes stable.
A harmonic/logic model is harmonic/logic within itself. The fact
that a model is harmonic/logic does not means, just due to this
fact, that the model describe, in a good way, the associated
external-reality.
THE FIRST BASIC WAY OF INTERR.
We start with some basics considerations. Face with a
photographic-type image, the brain (human or animal) makes an
image-model of that image. All the information generated by such
model is called reality.
The brain simulates some possible evolution of that model and the
result is a truth of that model. Than, that truth is compared
with the input-reality. In this process, the model is modified on
and on up to the moment when the (almost) all the predictions of
the model will meet the input-reality (the model becomes more and
more harmonic). In this mode, the reality generated by a model is
continuously improved.
By the way, there is a very old question: "why the world is
harmonic/logic?" or "why there are some laws of the
nature?" It is evident from this theory that the thinking
activity is based on the construction of symbolic models and they
must be logic to be stable. Because we think based on reality
(which is generated by our symbolic models), the reality is
logic. When the reality is no more logic, we make another
symbolic-model to find another reality, which, in turn, is also
logic. So, the external-reality cannot be described in any way as
harmonic/logic. Only the reality, as it is generated by our
brain, can be harmonic/logic.
The theory will explain now, the processes, which are happened in
a normal, mature human brain, in inter with a photographic-type
image (as it is generated by eye). Such an image could be called
as external-reality.
An "image" is received "as it is", by some
specialized models of the brain (the models connected in a direct
way at eyes, for instance). Such models generate some information
associated with that image. The information could be
photographic-type but this theory treated sound-patterns or
smell-patterns or anything of this types also as images. Such an
image has to be integrated by the brain, as a new image-model or
as a component of a model, which already exists in the brain.
To do this, any element of the image has to be associated with an
image-model.
In the case of photographic-type image, to discover the elements
of the image, there are some facilities as the stereo-vision or
the relative movement of some elements.
So, once an element is discovered, the model tries to associate
it with some models, which are supposed to exist in that brain.
If the brain don't contain such a model, it looks for a concept
model. If no such a situation is meet, the brain looks for some
similar models that could understand, somehow, that element.
Anyway, the brain has to discover as much elements as it is
possible and to make a suitable model for every element.
If an element of the image is associated with a model, then that
element of the external-reality exists only as a model, into the
brain. All the models (associated with different elements of the
image) are assembled into a harmonic way so that a general
image-model is generated. This model is, in this way, associated
with that photographic-type image.
Now what is seen is what that model says that it is seen. This is
the reality associated with that image.
Face with the same photographic-type image, any brain generate
its own image-model and so, its own reality.
Such models can understand and predict the evolution of the
external reality. To do this, the brain simulates on that model
some possible evolution. The input-reality is used to
verify/correct the model, on and on. In every moment, there will
be a reality associated with that image (external-reality).
As the model is developed, some others models could be activated,
in time, so that the new model to be integrated in the structure
of the models of the brain.
This procedure doesn't guarantee that the model is correct in an
"absolute" way; it just says that the model gives good
predictions on the external reality.
As the new model is integrated in the structure of models, it
could be slightly modified to be compatible with that structure.
In this theory, the main design aim of the brain is to predict
the evolution of the external reality.
This procedure is, basically, the same for human and animal
brains.
For an external-reality, which has to be integrated in a symbolic
model (human only), the procedure is different. The difference is
the fact that the input-reality is not image-type but symbolic
ones. That is, there is already a symbolic definition or even a
symbolic-model associated with every element, which is obtained
by the brain from external reality. The elements have not to be
discovered because they are already identified, in an explicit
way (the words of a text, for instance). Even more, there is also
a model to integrate that elements (a language which integrates
the words, for instance).
In a real interaction with the external reality, in a
symbolic-model environment, it is possible that the above
conditions to be not true in some situations. Than, the brain can
use its qualities in the field of image-models to understand the
situation. Once an image-model is done, it can be translated to a
symbolic form, to be integrated by a symbolic-model.
So, the hardware is based on a single basic device. It considers
that there is a source of primary information (external-reality
or another model), there is a facility to obtain information from
this source (it generates Input-reality) and a model which have
to reproduce in a specific way that source of information. Once
the device reproduced somehow that source of information, it
predict the possible evolution of it. The input-reality is used
to "see" if the prediction meet the input-reality. If
not, the model is changed on and on up to the moment when that
source of informatin is reproduced in a good way.
The whole brain is made around this basic device. There are many
such devices which are active in any brain, depending of the
technological implementation.
The aim of the activity of such structure is to generate the
reality, as it was already defined.
THE SECOND BASIC WAY OF INTERR.
We just described the first basic way of inter between a brain
(human or animal) and the external-reality. It assures the
generation of the reality.
The second basic way of inter is to act on the external reality.
To do this, a model will generate a collection of truths. Such
truths are used to make an action model. The action model
interact with external reality. The input reality, generated in
such interaction, is used by the main model to improve itself, in
an active way. The basic hardware device is the same as before
but it is used in a reverse mode. Now, instead the source of
information is placed a action model and in the position of the
model is the external reality. So, the external reality has to be
modified on and on to meet the specification of the action model.
This basic facility is also common to human and animal beings.
The animals, usually, use some action models, which already
exists when the animal is born. The animals have a limited
capacity to make, on their own, a specific action model. For
human brain to make an action-model and to act based on it, it is
very common.
ANIMAL BRAIN VERSUS HUMAN BRAIN (INTRODUCTION)
It is evident that there are some similarities between some of
the function of the human brain and some function of the animal
brain. These similarities put the problem of a possible common
origin and also the problem of a possible evolution from animal
brain toward human brain.
For any kind of external-reality, the brain makes a model. It is
possible that many models to be similar (for instance, the models
into the brain of a dog that are associated with some other dogs
of the external-reality). The first level of evolution is to make
a concept-model (a model which fits to a number of others similar
models).
Example: a dog have to make a specific model for every others
dogs meet by it. Instead to make a specific model for every dog,
it is possible to make a concept model. Then, for any specific
dog, some specific characteristics could be added in the frame of
that concept-model. Human brains reach also this level, of
course.
The next step of evolution is to label a model. The label
becomes, in this mode, a symbol because the associated model is,
in fact, its definition. This step is reached also by some
animals.
When an animal receive that symbol, the associated model can be
activated. In this mode, the animals can communicate in a
primitive way. For many animals these symbols are smell-patterns
or sound-patterns.
It is important to see that a specific, let's say, smell-pattern
could be associated by a specific dog to a specific model. From
this thing does not result that all the dogs have the same
smell-pattern associated with the same model.
The next step, reached only by human brain, is to use such
symbols without the associated models (the symbols don't activate
the associated model but some of its truths). Even more, it is
possible that a symbol to have no model associated with it.
All the symbols of this type could be the elements of a new kind
of models: the symbolic models.
The first symbolic model created by the human brains is, of
course, the general common language (GCL).
In fact, the evolution is based on the efficient utilization of
the information. An image-model needs usually a huge quantity of
information. The concept-models reduce the quantity of
information and the symbolic-models reduce even more the quantity
of information, which is requested to be processed by the brain.
The presence of a common-language (a symbolic model) into a brain
can be used to define a brain as a human brain.
We must not to forget that the common language is a
symbolic-model but very many elements of the model (mainly the
nouns) can be or continue to be associated with some
image-models. As I saids, some symbols could activates just some
truths of the model but the full image model could continues to
exists even it is not activated in any situation.
Examples of elements of a symbolic model:
"this apple" is a pure image model,
"apple" is a concept model,
"energy" is associated with some symbolic definition.
"quark" (from quantum mechanics) can be associated only
with some mathemathical formulas.
After GCL, the next step of the evolution of the human brain is
the creation of new languages, of higher precision (e.g.
law-language or diplomatic-language). In such languages there are
used, on larger scale, some logical relations and also, some
elements, which are no more associated with image-models.
Now, the same external reality can be described by an image model
or by a symbolic ones. The laws of harmony from image-models can
be extended to the relations between the elements of the symbolic
models. This extension created the laws of logic, as a natural
process of evolution from image-models to symbolic models.
The evolution continues with another class of language: the
logical and mathematical language. All the elements of this
language are no more based on image-models. For instance, in the
symbolic model called The Mechanics of Newton (a positive
science), the fundamental elements are mass, space and time. None
of these elements could be associated with image-models. Even so,
as a design deficiency of the brain, some persons try to
associate them, somehow, with some image-models.
The last step (up to this moment) of the evolution of the brain
is the creation of the pure symbolic-models. The elements of
these models have absolutely no connection with any kind of
image-models. The Quantum Mechanics is one example of this type.
Example: in connection with the Quantum Mechanics, in common
life, there is a "classical" problem generated in the
frame of the positive sciences: the nature of the light. The
students learn at school that the light has a "dual
nature": wave and particle. There are experiments, which
prove that the light is a wave and there are experiments, which
prove that the light is made of particle. Even the biggest
physicists propagate this aberration (the dual nature of the
light). The thinking activity seems to be blocked because the
logic seems to fail.
My theory gives a very good answer to this problem. The problem
is not a problem of physics but a problem of the thinking
process: the nature of the light is already well explained by the
physicists in the frame of Quantum Mechanics. The problem occurs
in the moment when they try to explain us what's happening,
because in that moment they try to use image-models. The
translation from a pure symbolic-model to an image-model is no
more possible (by definition). The terms as "wave" and
"particle" are associated in the common language with
some image-models. On the other side, in Quantum Mechanics, the
same terms are defined in the frame of a pure symbolic-model.
There is no connection between the two fields (worlds). If
someone forces such a translation than, it is no wonder that such
aberration could occur. So, the physicists must stay in the
Quantum Mechanics model when they want to communicate.
THE DESIGN DEFICIENCIES OF THE HUMAN BRAIN
XD1. The tendency to associate image-models to any kind of
external realities.
XD2. There is no hardware protection facility to prevent the
uncontrolled jump from a model to another. This deficiency could
be corrected by software, i.e. to control in every moment the
model where we are.
XD3. This deficiency is a basic deficiency (it cannot be
corrected without to change the principle of work of the brain).
It has to be described, based on an example. So, the brain
interacts with an external reality and finds, for instance, three
elements. The brain makes a harmonic model with these three
elements. If the external reality has, in fact, four elements,
the missing element cannot be discovered based on the model with
three elements. Even more, the model with three elements is
harmonic made and could give many good predictions on the
evolution of the external reality. The mistake could be
discovered, eventually, because the predictions of the model
fails in some situations.
If the external-reality is very complex (it has, for instance,
several tens of elements), the mistake will be very difficult to
be discovered. Even more, if a model with, let's say, 100
elements is proven to be wrong because there is a 101'th element
which was missing, to correct the model could be very hard to be
done, sometimes it could be a technical impossibility for the
brain.
XD4. This deficiency is a basic deficiency of any image-model.
The image-models have no possibility to find the importance of
any element or property of an element. So, when the prediction of
an image-model is wrong, the model can be corrected in many ways,
just by changing the importance of some properties of some
elements. One of the consequences of this deficiency is the fact
that, face with the same external reality, about any person has
its own "correct" image-model. As I said, this is due
to the fact that there is no refference of the importance of some
elements or proprieties of the elements, on any image-model. Even
worst, any such model is harmonic and gives sometimes good
predictions of the evolution of that external reality.
The symbolic-models have no such deficiency.
THE FUNCTIONAL FACILITIES OF THE BRAIN
These facilities are normally activate about all the time. Even
if, in some situations, they stops to work, they reactivates by
theirself, in an automatic way.
Basic Facilities
BL1. The creation of the image-models, based or not on external-
reality.
Any information received by the brain has to be integrated into
an already existing model. If no model can integrate that
information than, the PSM is activated. The PSM try to solve
somehow the situation, by using its facilities but then, it makes
a new model. There are, also, situations when the brain records
that information in the form of a story-type model. This is
happened, for instance, when the quantity of information exceeds
the normal capability of recording based on construction of
normal models.
Another situation when the brain make a new model is when a
Main-Active-Model (MAM) has to develop an element as a model. The
definition of a Main Active Model (MAM) will be given later. Here
the term MAM can be understood as any model based on direct
interr with external-reality.
BL2. The simulation of the evolution of an image-model.
A model can evolve on its own, regardless of the status of the
model (it can be activated or not by a MAM).
There is a MAM, which activates, in time, some specific models to
meet its aims. Any specific model, which controls in a direct way
the inter with the external reality, is called "control
processor" (CP). If necessary, the MAM can switch very fast
from a CP to another so that, in time-sharing, many activities to
be performed in the same time.
Because the creation of models and the simulation of the possible
evolution of them are a hardware facilities, any other active
type model can run, into background. This explains, for instance,
why we have ideas even if an unsolved problem seems to be
forgotten for a while.
BL3. The comparison between the reality and the input-reality to
develop and/or to update a model. The theory considers that any
model is able to develop itself (that is, to take information
from outside). How, exactly, the process is happen depends on the
technological implementation of the principle of work. In fact,
because this is a general theory, it cannot say too much about
how exactly a brain works. A general theory, as any general
theory, creates a frame of basic terms and basic functions.
BL4. The tendency of a model to become harmonic/logic. The
harmony/logic parameter just indicates the level of stability of
a model. A model evolves up to the moment when it becomes
harmonic/logic i.e. stable. That is, any result of any simulation
process meets the specifications of the model. This status has no
connection with the correctness of a model. A perfect
harmonic/logic model could be totally correct or totally wrong or
any intermediate status, in inter with external reality.
For a normal, mature human brain, a model cannot be separated by
the whole structure. When a model is harmonic/logic, it is
already integrated in a harmonic/logic way in the structure of
models of the brain.
BL5. The tendency of all the models to be harmonic/logic between
them. As the brain contains a very big number of models, any
particular model has to integrate in this structure, in a
harmonic/logic way. This condition have to be controlled on and
on by the normal activity of the brain (updating activity). The
supposition is that this activity has to be done mainly during
the sleep time.
BL6. The facility to switch from a MAM to another when, for
instance, the external reality is changing. So, the MAM becomes
that one, which give the best prediction of the evolution of the
actual external- reality.
BL7. The facility of any Main Active Model to switch on or off
any model of the brain and also to activate as a control
processor (CP) any of its models.
The theory says that there is a single model to control the inter
of the brain with the external-reality in a given moment of time.
The supposition is that, in the actual technological
implementation, there is a single channel to feed information
from external reality to the structure of models.
So, in time sharing, the MAM can do many jobs in the same time
but as we know, this possibility is not done easily and,
sometimes it fails. The theory explains this by some problems to
switch from a model to another.
When a model become CP, the first should be to update itself with
the initial conditions of the external reality. The MAM gives to
CP some predictions about the new state before the activation,
based on predictions. A new activated CP could act based on
updating process (this take time because it has to obtain a lot
of specific information from external reality) or based on
prediction (this could be wrong). The brain uses the both
solutions.
BL8. The general protection/surviving facility. The aim of this
facility is to protect the being in any situation, regardless of
the actual MAM and to assure that the being will survive
unconditionally, forever. This facility is implemented by the
Protection and Surviving Model (PSM) which is the main model of
any brain. This model is ready-made when a being is born. It is
activated, normally, when no normal model of the brain could
understand the external-reality.
Some models created during the life of a person could be
integrated into PSM. The main difference between a model
integrated into PSM and a normal model is the fact that once a
model is in PSM, it cannot be changed by any normal activity of
the brain (or the changes could be produced only in very special
conditions). This means, for instance, that if an information
received as input reality cannot be connected in a harmonic way
with PSM, than the input reality is changed, rather that PSM !!!
The Protection and Surviving Model (PSM) monitors in every moment
the overall inter between the brain and the external reality,
regardless of any CP or MAM. When there is no model to understand
the external reality, the PSM takes the control of the brain and
uses its short range and long range models to meet its goals.
Also, it blocks any model, which is on the way to interfere with
its goals. As we know, a model is created forever; the PSM has no
hardware or software facilities to destroy a model. This seems to
be a technological feature.
BL9. The facility to add some statements or models to the brain.
That is, when activated, the PSM makes a new element and defines
this element by some properties/aims. Than, the PSM could
activate this element to evolve as a model. That new model
develops itself to reach the aim. When a new situation, as that
one which has activated the PSM is met, the PSM will not activate
but that specific model which was created at the previous
activation. So, for a mature person, the PSM is activated only in
very special situation. This situation could be associated with
the word "experience".
BL 10: Any model of the brain can develop any of its elements as
model. This new model can develop also any of its elements as
models, basically speaking, without restriction. There is no
theoretical limit of this nested structure of models.
BL11: Any CP or any MAM have full acces to any model of the
brain. A MAM can activate as CP any model of the brain,
regardless of the position of the model (inside or outside of the
MAM). This facility will be described later.
BL12: a model can make an action model, based on some of its
predictions. This action model is used to act on the external
reality. This activity can be done to test, in an active mode,
some of the prediction of the main model or can be used to modify
the external reality to meet some specifications.
These facilities are described, mainly, for the human brain. They
are, basically speaking, the same for the animals. The exceptions
are the facilities in connection with the symbolic models (the
animals are not able to make symbolic models by definition).
SECOND LEVEL FUNCTIONAL FEATURES
The brain can create and develop an unlimited numbers of models.
The hardware try to meet two conditions of stability: any model
must be harmonic/logic and the assembly of models has to be
harmonic/logic.
The following second-level facilities are based on them. These
second-level facilities have contributions to the so-called
"personality" of a being. They are also generated by
the hardware but the quality and the conditions of activation
could be different from a person to other.
SL1. When there is a difference between the reality, as it is
generated by a model and the input-reality, than, the MAM has
some possibilities:
SL11: to change the model (knowledge)
SL12: to change the external reality (creativity)
SL13: to record the input-reality in a story-type model.
SL2. When a model is correct ( all the prediction meet the input
reality) but it cannot be connected to the structure of models,
there are some possibilities:
SL21: to make a shielding model (pathological zone:
external-reality is considered wrong)
SL22: to update all the models that block the connection
(knowledge at any cost but sometimes this is impossible from
technical point of view)
SL23: to modify the model (this is close to pathological zone)
SL24: to ignore the model (It is recorded as a story-type model
and wait to see more).
SL3. When the external-reality have no model to integrate it,
there are three possibilities:
SL31: to throw out the information (the brain does not understand
that there is a new external reality)
SL32: to ignore it (it is memorized in a story-type model)
SL33: to make a new model (the normal solution)
THE TYPES OF MODELS
Some types of models have been already explained. Here, they are
explained in detail.
ACTIVE-TYPE MODELS
They are generated by direct inter with the external-reality.
They are integrated in the structure of models so that, they are
harmonic/logic in relation with all the others active models of
the brain.
The brain updates all the active-type models from time to time,
including during the sleep time. In this mode, any model is
controlled by the whole structure of models of the brain (there
are a lot of crosschecks).
Face with a new external-reality, it will be activated that model
which gives the best prediction of evolution of that new
external-reality.
The Control Processor is that active-type model which control in
a given moment of time, the inter of the being with the external
reality.
Because the external reality around us has a structure, the
structure of models of any brain will reproduce somehow this
structure. For instance, a section of human life could be
"Family life" or "Job" or "Hobby".
Some of our models are good in any section; another models are
specific for a single section. The structure of models will
reproduce, as I said, this structure. So, a model, which contains
mainly the models associated with the section "Job",
could be one of the Main Active Models (JOB-MAM, for instance).
The MAM is able to optimize the activity in its section. On the
other hand, any MAM and generally speaking, any active-type model
can activate and deactivate any active-type model of the brain
(they can be included in that MAM or not).
A MAM is a long range model which can optimize the activity in a
section of inter with the external reality. A MAM is just a
complex model, which could activate and deactivate easier some
models of the brain.
This facility has to be understood as a technological facility. I
mean, this theory is a general theory; it tells few things about
technological implementation of the functions described by it.
The feeling that the MAMs exist, it is supported by observations
on the current activities of the humans and animals brain.
Also, the observations show that any model has access to any
other model of the brain. This access could be easier when we are
in a section where some models are often used and the access to
the same models is not so easy if we are in a section where that
models are, usually, not used. So, the term MAM has to be
understood in this way.
One of the most important activity of any active-type model is to
find the starting parameters when activate. This is also a
hardware function (it is activated in an automatic mode). For
instance, when a person is in a place (a building, a town
) any activated active-type model must know the position of the
person in model. As any model generates a reality, the activated
active-type-model must find the position of the person in
reality. Without this starting point, any prediction could fail.
For any being (human or animal), when the position in model
(reality) is lost, the PSM is activated automatically, trying to
find it. In the first moments the PSM uses some internal models
and then it make a new model to solve this problem.
STORY TYPE MODELS
There are some special active-type models which contains
list-type information. This is happened when the external reality
is too complex to integrate it in a specific model. They are
story-type models.
They contains information which are connected in a pipe-line
mode. Such models are considered as transition-models. They are
not connected to the whole structure of models in a proper way
(the harmonic-logic condition is not met). They are used for fast
recording of the external-reality. That information will be used
off-line to improve some others models in a normal way.
A person which contains too much story-type models is considered
as a low quality person.
The story-type models can be also created by a model, to be used
as action models.
SHIELDING MODELS
Any active-type model evolves on its own, to solve all the
problems which are produced during its normal activity (it has
tendency to be harmonic/logic or to regain this quality after any
change generated by input-reality).
There are problems without solution (the harmony/logic cannot be
met) but the model works on and on to solve it. In some
situations, such activity could activate infinite loop processes,
which can be dangerous for the brain.
The most important problem, which has no solution, is the death
(human only). A long-range model predicts the death of any
person. But, this prediction activates the PSM because one of the
most important aim of the PSM is to assure that the being
survives, unconditionally, forever (this is a hardware feature).
Such repeated activation of the PSM could be very dangerous for
the brain.
In such situation the solution is to make a "shielding
model". A shielding model is made to intercept some truths
that can activate the PSM. These shielding-models have to
transmit to the PSM a message, which don't activate it. The most
known shielding model is the religion.
A shielding model is not based on external-reality. Should it be
based on the external-reality, the main active model integrates
it.
The shielding models could be made in any situation, when a main
active model has unsolved problems. In such situation, a
shielding model masks a disharmony so that the brain gains some
peace of mind. The shielding models could be dangerous or very
dangerous for the human being if they are ignored in inter with
the external reality. One word, which can be used in connection
with the shielding models, is "illusion".
The shielding models are integrated in the structure of
active-type models and so, they can be controlled in a normal
way.
WOULD-BE ACTIVE MODELS
A Main Active Model predicts a possible inter with a new
external-reality, which was never met up to that moment. The MAM
cannot predict the result of such situation.
So, the MAM makes another model called "How to face a new
external reality". Such model is, so, not based on the inter
with the external reality. When that new external reality is met,
the MAM uses that model.
Such WBAM is acting as shielding-model up to the last moment
before the activation. When that external reality is meet, it
controls the inter of the brain with that external reality, as a
normal active-type model.
So, the human brain can make an active-type model based or not on
the inter with the external reality. Of course, an active-type
model becomes active-model only after inter with the
external-reality.
The WBAMs are integrated into the normal structure of the models
of the brain.
UNDERGROUND MODELS
All the types of models described up to this moment are
integrated in the normal structure of models. The assembly has
the tendency to become harmonic/logic.
There are models that could lose their contact with the assembly.
They are generated in many ways.
One possibility is when a normal active model is too big. The
model could forget some of its components due to some
technological problems of the brain.
Another possibility is when a normal active-type model is not
finished because its inter with the external reality did not
happened since very long time. For instance, if a person have had
a car accident, the PSM make a model on that specific external
reality. That external reality could be never meet again.
Another possibility is when there is a problem, which have no
solution and the brain makes a low quality shielding model or no
shielding model (the word "obsession" could be
associate with this situation).
Anyway, such models are not, or no more, components of the normal
structure of models and so, such models can evolve in
uncontrolled way. Any MAM and also PSM itself don't detect such
models; so, they are "underground models".
The existence of such models can be revealed, for instance,
during a hypnosis practice. Another clue on them is meet when
some "normal" persons act in illogical way (including
from their point of view), as it is happened with many criminals.
The underground models explain also the sleepwalker phenomenon;
an underground model becomes a MAM. It can activate any other
model, for instance "how to walk"-model.
Also, the underground models can explain about all the so-called
"paranormal activities" of the brain. For instance, the
"telepathy" or "clairvoyance" is explained
very easy by this theory, based on underground models.
ACTION MODELS
Such models could be short range or long range. They are made to
act on the external reality. The aim is to change the external
reality to meet the specification of the corresponding action
model. They are in close connection with the MAM which made it.
They can be changed easily, by the associated MAM, to met the
general specifications of the MAM.
EXPLANATIONS OF PARANORMAL PHENOMENA
The telepathy seems to be a direct transmission of information
from a brain to another brain. Unfortunately, such a transmission
is impossible (it put into discussion the fundaments of the laws
of the nature). Such transmission means that there is a field of
forces, which propagate through any kind of materials at very
long distances. Such field of forces does not exist and any
reasonable prediction shows that such a field cannot exist.
Ones can "jump over" this interdiction and to say that
there are another method of transmission of the information
without to transmit energy at distance. Such affirmation put into
discussion just the fundaments of the laws of the nature.
Anyway, this theory explains the so-called "telepathy",
without transmission of information at distance, based on
underground models.
Indeed, a person could have a special interest for another person
(they could be close relatives as a mother and a child). The
mother, in this example, can make an underground model on hers
child in tens of years of direct inter. On such model could be
simulated a lot of situations of interaction between the child
and the external reality. When, after such a process, the
underground model find a bad situation, the underground model can
transmit a message to the actual active model of her. The mother
did not know even that the underground model exists. She has no
indication on the source of such message.
Of course, it could be persons with some special abilities to
make underground models and to simulate some possible evolution
of them.
The "telepathic messages" are the result of a process
of simulation on an underground model. There is no guarantee that
such messages have any connection with the external reality. All
such models are out of the normal control of the assembly of
models and also, the result is only a probable or possible one.
When the subject of the underground model is a component of the
external environment (a field to find water or a person to find
an illness), then the whole field of clairvoyance could be, also,
explained in this way.
Let's see some general characteristic to develop the
"paranormal" abilities, as they are understood by my
theory.
The person must obtain as much information (from the external
reality) as it is possible. Because such underground models are
image-type, the information has to be also image-type. The word
"feeling" could be associated with this process.
Of course, the symbolic information (based on language) could be
also used but it has to be translated (by a translation model) in
an image-type model.
The education based on image-models is also a big advantage to
develop the paranormal abilities.
Another important characteristic to develop the
"paranormal" capacities is to have a reduced tendency
to control the "thinking" process.
THE NORMAL BRAIN
This section should be a local theory on the subject, based on
the main theory but it is, instead, only an exercise to evaluate
the problem. It has to be understood as a starting point on the
subject.
Based on the main theory, a brain has to meet three main
criteria:
C1. The PSM must do its job of protection and to assure the
surviving, unconditionally, forever, of the being.
The PSM must include some statements as the user (e.g. the
society) requests them. They have to be included during
childhood.
When a model generates some statements which interferes or are on
the way to interfere with the PSM-statements, than, the PSM must
block the bad model to become active. This function must be
active in every moment for every being.
PSM must not include ordinary models.
C2. Any model must be harmonic/logic.
C3. All the models of the brain must be harmonic/logic between
them.
Using these three conditions as a starting point, let's develop,
a little, the subject.
The usual characteristics of a person, to be considered a normal
person, are the general abilities to integrate in society. So, we
have to know which are the requirements of the society.
Some of these requirements are "never to kill another
person", "never to steal" and many others. It is
out of the field covered by this theory to find them. The theory
just say that the main requirements must be, also, components of
the PSM so that the person to meet C1 criteria.
Let's now consider that a person make, for instance, a model to
kill somebody but if C1 is met, that person is a normal person.
This is true because when a model of the brain is on the way to
interfere with the PSM, the PSM blocks the model to become
active. As we know, a model is made forever; the PSM cannot
destroy any model.
At C1 is specified that PSM must not contain ordinary models.
This statement is necessary because paranoia-illness is explained
by this theory as the result of the including in PSM of an
ordinary model. So, if an ordinary model is a component of the
PSM than, that model cannot be changed, regardless of the
information obtained from external reality. Any attempt to change
such model will interfere with the whole protection structure of
that being. A paranoiac person could meet C2 and C3 but not C1.
Now we shall see some possible problems associated with a
not-normal brain.
P1. Let's consider, for instance, that the brain makes a model to
kill somebody. Of course, PSM blocks the model to become active.
If this interdiction fails is some particular moment/situation,
then, that bad model could be activated. This is produced by a
technical problem of the brain and, based on this theory, it is
an illness.
P2. The C3 say that all the models of the brain must be
harmonic/logic between them.
Sometimes this condition is very hard to be met. Indeed, if an
important model is obsolete (as it is happen when a close person
die), to correct all the models is, in many situations,
impossible from technical point of view. One solution is to make
some new models and also, to make some shielding models. The
shielding models mask a disharmony/logical-contradiction but they
cannot solve the updating problem. If the number of shielding
models is too big than that person cannot be normal.
P3. The updating capacity of a person is under the requested
level (overflow). In such situations there are two methods to
meet C3. One method is to make shielding-models. Other method is
to reduce the number of models (to reduce the inter with the
external reality to a minimum). If this last procedure is used
too much, the number of MAMs of a person could be under the
threshold that marks the illness called
"schizophrenia".
So, my theory considers that the schizophrenia starts with a
reduced number of MAMs. This could be happen when the person is
in the "overflow" situation, as it was described above
(user induced schizophrenia) or when the person has some
technical problems to develop specific models or to integrate
them into the normal structure of models. Anyway, C2 and/or C3
cannot be met.
The problem of the underground models was not taken into account
due to the lack of data about them. As the underground models can
explain a lot of illogical actions of some persons (including
crimes), the detection and the condition of activation of such
models are very far to be understood by me. A crime produced due
to the activation of an underground model, is not explained by
the criminal. After the crime, the interaction with the external
reality could be controlled by PSM and also C1, C2, C3 could be
met. So, some criminals could meet C1, C2 and C3, except for some
short moment of time when an underground model could take control
of their brain.
Let's explain now the "sleep-walker" phenomenon. Based
on this theory, a long-range underground model becomes the MAM of
a person. It can activate for instance the model "how to
walk" (a normal model). The fact that such models are very
powerful is sure; it follows, based on my theory, that the brain
could make the underground models very careful. It must be a pure
image-model (not based on concepts).
So, the presence of some underground models into a brain is
considered by this theory as not-normal situation. If, in a
brain, an underground model becomes a MAM, this situation is even
more a not-normal one and so, an illness.
EVOLUTION FROM ANIMAL BRAIN TO HUMAN BRAIN ?
As the theory said, the first models made by any being are pure
image-models. As the volume of interaction between the being and
the external reality is increasing, the brain, human or animal,
is forced to make concept models. A concept model is a big
progress in comparison with the pure image-models. Indeed, for an
animal, to keep in mind all the models of all the elements found
by them in the external reality, is a very big effort. To make a
concept model means to select only some elements/properties of an
element and to make a model that fits to many similar elements.
Many animals (e.g. the mammals) are able to make such simplified
models.
Let's see an example: [1]"this apple",
[2]"apple", [3]"fruit", [4]"food".
[1] is a pure image-model, [2] is a concept model of image-type,
[3] and [4] are also concept models but they cannot be associated
with an image-model. For a human brain [3] and [4] are
symbolic-models, there is no problem with them. For animals,
which cannot make symbolic models, the solution is a
"short-cut": they just record a limited numbers of
characteristics to respond at the question food/not-a-food. So,
even if the animals have the capacity to make and operate
concept-models, they don't depend too much on them.
By contrary, the human brain is able to make very easy an
unlimited number of levels of concept-models.
By the way, there is a game for children: to guess something
based on questions for which the answer can be only Yes/No. This
game needs to make and operate a very complex structure of
concept-models. This is done, easily, by children over 4 years
old.
The basic problem is: the capacity to make symbolic-models is a
natural extension of the capacity to make concept-models or the
capacity to make symbolic-models is provided by a special
hardware. The answer could explain if the human brain is a
natural evolution of an animal-type brain or the human brain is
based on a hardware improvement of an animal-type brain.
So, the theory could give some clues on the possibility of the
animal brain to evolve toward the minimum level of a human brain.
Basically speaking, there is no interdiction of evolution of an
animal brain toward the minimum level requested by a human brain.
As the volume of the brain of some animals is comparable or even
bigger then that of a human brain, the huge capacity of
processing of a human brain could be explained by a hardware
facility to make symbolic models. For sure, a brain of dog, for
instance, has no such facility; for it, the only possibility
could be a software implementation of this facility. If so, there
is no possibility for an animal brain to make complex symbolic
models. If the power of the human brain is based on a hardware
facility to make symbolic-models then the animals have about no
chance to evolve to the minimum level requested by a human brain.
The highest level attained by the human brain is to make pure
symbolic-models (this means a total break with the image-models
as in Quantum Mechanics). I wonder if a natural evolution could
explain this huge superiority of the human brain versus the most
evolved animal brain
This theory has to be treated as a tool; a tool could be useful
or not useful to solve some specific problems. So, this theory
has to be taken in this way and everybody could try to use it to
see if it solves his/her specific problems.
Dorin-Teodor MOISA, 27 SEP 1997....9 MAR. 2002....4 APR. 2002
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