Examples: the use as weapon of the rattlesnake's rattle and of the "Chinese
drop"
It is important to observe two parameters: the length of the sequence and the
repetition interval. The musical piece called "Bolero" by Maurice Ravel
contains a sequence, which is long enough to produce no irritation. In fact,
every time when the sequence is repeated, there are other musical instruments.
In this way, this musical piece is not too close to the irritation limit. Even
so, at the end of the piece, the repeated sequence ends, producing an instant
relaxation.
Let's see this problem in the case of visual arts. Let's suppose a large white
surface. Such a surface can produce irritation, because in any point of this
surface, the IR is identical with the prediction. There is a natural tendency
to put some elements on that surface, to reduce the irritation. But, if the
details are randomly spread, the prediction will be different of the IR in
most of the points. This also can produce some irritation. The solution found
in about all cultural zones and times was to have some sequence made of
identical elements, but every element has to be complicated enough so that
sometimes the IR is identical with the prediction, and sometimes not. When
such a surface is explored, the brain seems to have a pleasure. The pleasure
can be defined as a situation when the prediction is close to IR, but about
never the same. This can be seen mainly on cultural products of ancient
cultures, but also nowadays.
We can see this also on the shape of the Christian cross: a Christian-Orthodox
cross has more detail than a Christian-Catholic cross because the Orthodox
religion is mostly oriented to image models while the Catholic religion is
more oriented to symbolic models.
The modern cultural zones are based mainly on symbolic models. There is a
reduced tendency to see all the details in a symbolic environment. Thus a
perfectly plane surface, without details, will produce no irritation. This is
so because, in a symbolic environment, the interaction based on image models
is not important anymore.
11b. The lack of stability of the structure of models could occur when the
external reality is unchanging for a very long time. Here, the prediction is
also identical with IR, but there is an additional technological feature,
which will be described below.
As we know from the main theory, any active model will predict in a continuous
automatic way the possible evolution of the external reality (this is a basic
hardware feature). Now, the problem is how often this prediction is made. My
supposition is that the speed of this activity is variable, and depends on the
speed of changing of the external reality. That is, when the external reality
is changing very fast, the new predictions are made also very often.
Public-domain text, read in full here on John Shaqi.
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