ETA 7: Music

Music is a long-range image model, which exists only for human beings. As a

newborn baby grows, firstly, speech appears (a symbolic model) and only later,

the qualities associated to understanding music. As music understanding

capabilities appear after the brain aquires the ability to build and operate

symbolic models, it is reasonable to suppose that the symbolic models support

the development of music. This idea is supported also by the fact that

European music (the most advanced in the construction of symbolic models) is

superior compared to any other music from the point of view of its complexity

(polyphonic music was invented in Europe).

Given a sequence of a few sounds, the brain will try to predict the occurence

of the next sounds. Sometimes the prediction is correct sometimes not. If the

prediction is good too often, the impression is described in words like:

boring, monotonous or upsetting. When the prediction is not correct(there is a

large discrepancy between the prediction and IR), the sounds are uncorellated.

If we have an acceptable difference (the sounds are considered corellated

after modifying slightly the algorithm of generation of the sequence), then we

can associate this to music.

The corellation is associated with the capacity of generation of a sequence

based on an algorithm.

This automatic activity of continuous modifying the generation algorithm can

produce a positive state of mind, which can be called pleasure. This means

that the predictions are correct constantly, with high probability, and that

the ones, which are not correct, are accepted, after an acceptable change of

the algorithm. This activity is called currently music.

The corellation can be supported implicitly, as it happens in classical music

or can be supported explicitly (e. g. by rhythm of drums).

If we accept the hypothesis of the existence of a facility associated with

image models (a hardware facility) to build an algorithm of generation of

corellated information, then we could try to see if this facilty evolved in

time or not.

Thus, in spite of the fact that the capacity of the brain to operate with

image models diminishes relatively in time, the development of the capacity to

operate with symbolic models generated new abilities of operation with image

models. In consequence, music evolves based on two somewhat contrary

tendencies. The capacity to build and operate image models decreases due to

the increase of the capacity to operate symbolic model, and, on the other

hand, the symbolic models support the image models in the domain of music.

The symbolic models, which were developed especially in Europe, determined the

high level of complexity of the music. The European polyphonic music is one of

the results of the "marriage" between image and symbolic models in music.

Other civilisations, which did not have an extensive development based on

symbolic models, have created in milleniums of evolution only a simple music.

Let's see in the following some elements of the evolution of music in Europe.

The symbolic 'recipes' appeared in music composition in the time of J.S. Bach.

The maximum complexity of the music was attained during the times of W.A.

Mozart. In that period, the music had several simultaneous musical lines,

which, according to possibilities, were followed by those who were able to do

it. E.g. in the "Great Messa", KV 427 by Mozart, several musical planes exist,

which have to be followed simultaneously. Even nowadays, just the recording of

this work poses technical problems. This musical work is one of the peak

complexity constructions in music.

Approximately after year 1800, due to the increased capacity to operate with

symbolic models, the capacity to operate image models decreased. Music

continued to be polyphonic, but became simpler, with a single melodic line (L.

van Beethoven, contemporary with Mozart).

This simplified music was called romantic music, and was a form of

fundamentalism. The majority of the population lost their capacity to operate

very complex image models, and so, such a simplified music was generated.

This tendency continued with the increase of the limits of predictions

acceptability, due the increase of the capability of construction and

operation with symbolic models. E.g. the music composed by Igor Stravinsky.

When his music appeared, it was rejected due to surpassing the limits of

acceptability. But, in a short time, other musicians and people accepted his

music, as a consequence of the increase of the acceptability limits.

It is reminded that the increase of the acceptability limits is due to the

increase of the capacity to build generation algorithms. An assumption is that

these algorithms are supported by symbolic models.

Nowadays, music is so "advanced" that it contains just a rudimentary rhythm,

and an endless text (hip-hop or rap music e.g.).

The children of our times have a reduced capacity to understand music. Around

the year 1800, some 4 years old children were able to play the piano or

violin, or even to compose music. In our days, this is not met anymore. But,

some children are able to build and operate computer-based symbolic models.

As it is shown also, in some other parts of the book, there is a new form of

fundamentalism nowadays: the rejection of the symbolic models by a fraction of

the population. That is, some people return to harmony (there are many who

prefer Mozart e.g.). The present music is balancing between symbolic-type

music (hip-hop or rap e.g.) and harmonic music. This tendency will continue

for a long time, because it is hard to believe that music will disappear (the

brain is based on image models forever), but returning to the year 1800 type

harmony is not possible anymore.

Music is defined as a special story-type model associated with sounds. This

story-type model has elements generated by an algorithm generator.

The generating algorithm is able to build in a dynamically way the elements

which will be recorded by this special type story-type model. Based on the

algorithm, the model is able to predict the future sounds based on the sounds

already received.

Sometimes the algorithm generator is able to make a correct prediction of the

sound which comes (a hit), sometimes not (a miss). If the prediction fails,

then the generator will modify the algorithm and continue to predict what

follows. When the number of misses is low, this could produce pleasure to the

brain. When the number of misses is zero, there is no pleasure (e.g. a boring

music). When the number of hits is zero, there is no music (no correlation

between the sounds).

As this special story-type model is an image-model, its power is decreasing as

the brain is evolving to symbolic models. On the other hand, it seems that the

symbolic models support the algorithm generator. That is, there are two

tendencies that act in contrary directions. One tendency is to make a

simplified music, based mainly on symbolic models (texts) in the frame of a

rudimentary rhythm (e.g. drums), as hip-hop and rap music and on the other

hand, to make music based on complex algorithms (to enlarge the limits of

acceptability). The present music is evolving between these two large limits.

The main tendencies of the present music are:

- The evolution based on symbolic models. This tendency increases the limits

of acceptability of what are and what are not correlated sounds.

- The rejection of the symbolic models by a fraction of the population, i.e.

people want harmonic music.

- The return to harmony is possible only partially because many abilities

associated with the main story-type model are lost, due to the general

tendency of conceptualization of the image models. That is, the algorithm

generator is better and better, but it acts on recorded data, which are a

simplified copy of the external reality.

Let's see what is the situation with other arts. Almost all classical arts are

in decline. Painting and sculpture are based on pure image models. The general

tendency is to make concept models, and so people are not able anymore to

perceive fine details. This tendency is very easily seen in contemporary arts.

The tendency in visual arts is to make works based on symbolic models, and to

increase the complexity. Some arts as poetry, painting and sculpture are on

the way to disappearance as stand-alone arts. Theatre, because it is based on

symbolic models, is surviving, as it tries to keep the contact with the

tendencies of the society. Music is still in a good shape, as we already saw.

The main ascending art is cinematography.

The Brain, A Decoded Enigma · 第 45 / 89 题