Ternary codes in psychology, culture, and art: Information roots
Abstract
A set of
six models dealing both with spatial and temporal aspects of perception, forms
an entity with tightly coordinated links. Though the models proceed from different
concepts (optimization of the structure of the memory, minimal resource expense
when information processing, maximal reliability of the identification of
objects' properties, etc.), they unanimously come to the preference of triplicity,
or ternary codes in various fields of social and cultural life. This result is
supported by numerous empirical data relating to different kinds of phenomena,
including works of art.
Informational
approach in cultural studies now puts forth [1-3], and investigations establishing
links between different branches
within this approach must be rather promising. The present paper is devoted to some
of such links, connecting properties of human memory, information processing, and
the phenomenon of the threshold
of perception. (Of course, these fields are viewed within the framework of the
informational approach.) As a result, we shall come to some general regularities of human behavior,
culture, etc., the most interesting of them being related to the structure of
works of art.
Advantageous
‘spatial' structures: many-sided arguments in favor of triplicity
We should consider
the most universal and widespread
procedures of the information processing, which can be important for the
problem in question. We shall start from the processes of human orientation in
the environment, containing certain objects and events. Two preliminary notes
should be made here.
First,
the models described in this Section, deal with the properties both of objects
and events, the information received being stored using certain symbols in the memory device. As it was
shown earlier [4], exactly this form of the information keeping is much more
advantageous than its keeping in the form of images ("gestalts"): it becomes
possible to spend many times less resource, i.e., energy of the neuron net. [In
fact, when using "gestalts," our first step of the memory which possesses
rather limited volume of 8 units (see below), is capable of keeping only 8
images, whereas when using binary symbols, the same memory can keep information
relating to 28 = 256 objects or events.]
Second,
it is proposed that the primary information ("raw data") is structured in such a manner that would
provide maximal effectiveness of the usage of the information kept, under the
condition of the limited number of symbols which are involved in the information
processing. That is why these symbols are not "free," independent of each
other, but they are grouped in certain clusters named "parameters." [Really, of course, a set of 10 symbols used without
any structuring, is capable of designating 1010 objects or events
(as it takes place in telephone nets), but true choice in such a variability is
very complicated; but what is the most important, in such situations it is
impossible to work with statistical links between objects' properties; hence,
the orientation in such "boundless sea" of symbols becomes senseless.]
Taking
into account these two considerations, let us turn to four partial models of
universal processes inherent in keeping information relating to the
environmental objects and events.
A. In the
framework of the simplest model dealing strictly with the encoding (see, e.g., [5], a certain ‘resource' of W
symbols is considered to be fixed. These symbols can be divided into equal groups (each group may be regarded
as a scale of a certain parameter). Let us suppose that each group consists of x symbols
(gradations of the parameter). Hence, the number of groups is W/x,
and the given set of symbols permits to describe the number of different
objects
y = (x)W/x.
If to
consider this expression as the function of the variable x which is capable of
possessing arbitrary positive values (both whole numbers and fractional ones),
we may find its optimal magnitude responding to maximal value of y:
dy/dx
= 0 when
x = e =
2.718...
In
other words, optimal is such a description which contains parameters each of
them consisting of 2.718... gradations. However, the number of gradations should
be integer (whole number). Hence, the best classifications are those ones which
consist mostly of ternary parameters (x = 3), though maybe sometimes binary
parameters (x = 2) can be also used.
B. In
another model which is ‘genuine informational,' the same conclusion about the
optimality of ternary classifications was also obtained [2, pp. 19-20]. Here the
‘response' of a certain system (e.g.,
a man) is considered, this response being characterized by n independent components
of a vector (‘degrees of freedom'), each component again having x
gradations of equal probabilities. The resource expenses (the nature of the
resource may be various, e.g., the efforts needed to keep the information about
each gradation of each parameter) are supposed to be proportional to the number
of gradations:
r = a x,
a being
the constant. Let the total resource expense be restricted by the value
R = a x
n.
Then we
may proceed from the information contained in one degree of freedom: I(m).
The maximal total information I for the total resource expense R,
was shown to be equal
I = (ln
xR) / a x,
so it is possible to
find an optimal value of x when dI/dx = 0. This value is
x = e =
2.718...
Again
we came to the same result: preference of ternary or binary parameters.
C. However,
in principle, it is not obligatory to suppose all the scales (parameters) to be
identical, possessing the same number of gradations. Sukhotin [6] considered
the task of the most economic
‘non-motivated classification' of a set of objects, using arbitrary numbers of gradations for
different scales.
Think
of a series of B objects described by a set of parameters (features, scales),
each parameter consisting of several gradations. We shall use these parameters simply
to classify objects - this is exactly
what the aim of ‘non-motivated classification' is (in contrast to ‘motivated
classifications' which are applied to distinguish between useful objects and
non-useful ones). If we have β(x) parameters with x
gradations (‘words'), then the number of possible classes is
y = П xβ(x)
,
x
symbol P
designating the operation of multiplying. [For instance, when classifying
persons, we use one parameter with two gradations (gender: men or women) and
two parameters with three gradations (age: young, middle, or old; education:
non-educated, middle school, high school). Hence, the number of possible
combinations y = 21 ´ 32 = 18 classes.] How many gradations
(‘words') should we use to realize such a description? - Evidently, the number
of such ‘words'
W = Sum x β(x).
x
[In this example
we should use W = 2´1 + 3´2 = 8 gradations, or ‘words.']
The informational
optimization in such case means nothing but economy
of the total number of ‘words' (gradations used) under quite evident condition
- sufficient description of the given number of objects:
y >= B,
W -> min.
The
solution of this system of equations comes to rather non-trivial result: only
those parameters should be used which possess
x = 2 or x = 3,
i.e., only binary or ternary parameters. [In fact,
the most economic way to describe the above 18 objects, is to use a set of one
two-gradation parameters and two three-gradation parameters - we need only 8
‘words,' whereas all other descriptions occur to be not so economic; e.g., when
using 5 two-gradation parameters (N = 25 = 32 > 18) we need 2´5 = 10
‘words,' and taking 3 three-gradation parameters (N = 33 = 27 >
18) we need 3´3 = 9
‘words.'] Thus ternary codes turn out
to be ‘advantageous' elements of different systems of the information storage
systems.
D. There
exist some other theoretical arguments in favor of ternary codes - as rather
advantageous for the information processing. Bearing these arguments in mind,
we shall dwell upon the model of visual perception
of objects' color properties in changing illumination - see, e.g., [4]. (In
general, quite the same is the situation in any continuum, when it is necessary
to simulate the perception of a certain property of objects, in the conditions
of variable background.)
Here let
us suppose that we have spectral photodetectors possessing bell-like distribution of the response: the peak value of the signal
falls on a definite wavelength, whereas both at shorter wavelengths and longer
ones, the signal is decreasing. (Such bell-like characteristic of the response
is natural for any continuum to be perceived.) How to determine the color of
the object perceived, e.g., whether the given apple is red or green? The only
way to do this, is to compare the signal reflected from the object - with the
signal from the background (e.g., from the sun or from another source of
light). However, such a comparison may have ambiguous results: each photodetector
with bell-like characteristic possesses two ‘decreasing branches' of its spectral
dependence, so that the percipient is not able to identify branches he/she is
dealing with. Moreover, it is impossible to determine the color of the object, even
when resorting to the help of two types of detectors, possessing differing peak
wavelengths.
Only using
three types of photodetectors, it becomes
possible to determine the color of the perceived object. (For instance, the
situation becomes clear, when the signal from the first type of detectors is
low, from the second one large, and from the third one negligible.) It is namely
because of the fact that three-detector scheme of spectral information
processing is the most advantageous, such solution was used by the Nature in
the process of the biological evolution, and it was realized in the case of
some higher mammals, including human beings. [It is interesting to note that
quite analogous scheme of color information processing, was realized in frog's eye:
though it has only one type of spectral detectors, there are three types of
adipose cells working as light filters; so practically three types of spectral
detectors are formed.] Employing larger amount of detectors is ineffective as
it requires extra resource expense. (Nevertheless, a four-type version was given
a try in the process of the evolution, but finally rejected.)
So we
have rather weighty and many-sided arguments in favor of triplicity, which
occurred to be advantageous in various procedures of the information processing
when orientation in the space of objects and events of the environment. Now let
us turn to temporal aspect of this orientation.
Time and
order: In search for the threshold of perception and non-accidental events
Here we shall
consider two principal universal situations taking place when changing signal from objects perceived:
- identification of the very fact of the
change in the signal;
- fixation of certain regularities in
the changing signal.
Indeed,
the first situation is the most important; besides, it is a basis for all
subsequent informational processes. That is why we shall start exactly from the
model for identification of changes, i.e., from the problem of the threshold of
perception.
E. The necessity of the threshold (which should
be inherent in reactions of every complex system) was deduced in the framework
of the informational approach - as the result of the principle "All or Nothing"
which increases the chance of the system's survival [1, pp. 116-122]. However, till
now the value of the threshold
remained unexplained, and especially the riddle of its constancy for different stimuli continua. In fact, the value of the
relative threshold of perception is the same for very different kinds of
stimuli: intensity of light, loudness of sound, electric current, etc.; it is close
to 12-15%. (About this phenomenon and its systemic determination see, e.g., [7,
8].) Meanwhile using the phenomenon of triplicity, it occurs possible to
explain this riddle, beside in tight connection with the riddle of the volume
of the first step of human memory (the so-called "Magic Number 7±2," see
[9]). Really:
- as
far as fast speed of functioning is the
main criterion of the effectiveness for the first step of memory, the evolution
chose the simplest and the most reliable way to form this step: to use three
informational channels, each responding to transmission of the binary signal
(e.g., 0 or 1); as a result, a 3-channel operative memory device is formed, with
the total amount of cells V = 23 = 8 (different
combination of states);
- the relative
threshold of perception is simply a
result [9] of the functioning of such 8-state memory device: when all 8 units are
occupied (by the information which keeps the intensity of the given stimulus),
to empty one of them means to lessen the stimulus intensity to 1/8 of its
magnitude, i.e., to 12.5%, and when only 7 states are occupied, to add one
state means to increase the stimulus to 1/7 of its magnitude, i.e., to 14.3%;
in other words, the threshold S » 1/V (it is
exactly the phenomenon of relative threshold that will become the basis for our
further consideration).
So,
even in the light of this model, one can expect ternary structures domination anywhere.
A giant number of such examples are presented in the monograph by Stepanov [10].
F.
Finally, when speaking of certain regularities
in changing signal, we should focus on the task which is the most universal in
this field: fixation of the repetition of
signals, their regular arising. [It was not without reason that even
Russian formalists of the 1920's proclaimed the existence of only "two devices"
in the functioning of art: repetition and delay, - though the last one is
impossible without the former.] So the main "personages" of our consideration
will be the probabilities of certain
events. What is the most substantial for the perception of the sequence of certain events, is that it is accompanied
by definite emotions of the
recipient. Considering that we shall deal not with the events themselves, - but
with their probabilities. [In other
words, we shall disengage ourselves from specific nature of the events
perceived.] It is exactly these probabilities that are the source of
perceiver's emotions (and not the
events themselves).
Here the
heart of the matter is the search for regularities
within the ‘world of events': possible statistical links which can be established
between certain events perceived, the links that are capable of generating positive emotions. We suppose that a
perceiver is a ‘hedonic subject' (at
least when he/she perceives the sequence of the events in question), with an
inclination to search for links. Situations
when such search takes place, can be rather various. Let us consider one of the
most typical situations which can be outlined
as follows.
There
exists a certain ‘lattice' of events
which are more or less regular.
Example of such regular lattice is the sequence of dawns: they come every day,
with a strict (or almost strict) 24-hour periodicity, so dawns are the ‘knots'
of this lattice. In turn, on the basis of this ‘primary' periodicity, another
kind of cycles (i.e., another lattice, which may be named ‘secondary') may
occur, for instance, Sundays: they form 7-day periodicity. Such regularly coming
events forming the secondary lattice,
may be rather important both for the personality
or the entire system of culture:
sometimes on their basis various customs appear, as well as some prejudices.
For instance, during the First World War the following strange regularity was
observed by soldiers: when they got a light from somebody's cigarette, each
third act might become fatal. (This regularity seems to be mystical, but its
explanation is simple: during the first flash, a sniper found his aim, during the
second flash he corrected his back-sight, and at the third one he made a shot,
which could be mortal!)
(The
situation of the "superposition" of one periodical structure on another, seems
to be very "sharp" for perception, hence it might become rather influential for
the formation of appropriate universal informational procedures. Really,
exactly those situations are experienced with intensive emotions [1, 2], where
we have some elements of regularities (‘hints' on them), combined with certain
ambiguity concerning their existence.)
How to
establish such secondary periodicity
built on the basis of the primary one, i.e., the periodicity working within the
lattice of primary events? And first of all, how many secondary events should be at the disposal of the subject
(observer of these events), so that he/she could realize their periodicity? Two
secondary events? or maybe three? or four? - This task can be easily solved.
Indeed,
let the probability to meet the given secondary event in a certain position
within the lattice (in the given ‘knot') be pk; for
instance, if pk = .2, then
statistically this secondary event can
be met in one knot out of every five ones. For example, a person plays roulette
every day; one day he/she wins a large sum, then after four ‘waste' days, he
again wins a large sum, and so on. Hence, sooner or later he/she may conclude
that these happy secondary events are subdued to cyclic regularity, with the
period of 5 knots (i.e., the secondary events are not accidental).
But
when exactly (i.e., at which occurrence) one can realize the periodicity
mentioned? when he/she starts to perceive
the regularity? - This question seems to be very important, as the very regularities
introduce certain order in human's
life, and they provide his/her due behavior during interaction with the environment.
Moreover, in the case of works of art,
the search for regularities is one of
the main perceptual procedures; it is accompanied by positive emotion when the regularity is found.
Evidently,
an event is considered regular when the person sees that the probability of accidental occurrence of
the secondary event at this knot is
negligible, i.e., it is less than the relative threshold of perception. Hence, the formula for the probability to
meet the event in question, n times in ‘due' positions (relating
to strict secondary periodicity), equals
p(n)
= (pk)n <= S,
S being
the above mentioned relative threshold of perception.
Now we
should take into account that the relative threshold of perception S
» .15 (see the above consideration), and the
value n should be integer. So,
for the most widespread situation when pk = .5, we have
n >= 3.
Really,
if n
= 2 (i.e., the event was met only two times in due positions), then p(2)
= .25. So, the probability of accidental
occurrence of such situation is not
small (it exceeds the above relative threshold) and is perceived as ‘usual,'
more or less habitual. But when n = 3, the probability p(3)
= .125, and this event should be felt
as not accidental, i.e., evidencing in favor of the regularity present: periodical behavior of secondary events. Of
course, further, when n = 4 (and p(4) = .0625) or more, this regularity is
confirmed, becoming more and more reliable, and even boring, hence generating negative emotions. However, namely the
moment of the first discovery of the
regularity is the most striking for the person, as well as for resulting positive emotion. Moreover, exactly this
positive emotion determines the perception of the entire sequence of the
events.
Naturally,
this moment (of resulting positive emotion) depends on the value pk:
in order the second appearance of secondary event to be the indicator of a
periodical regularity, the value of pk should be less than ÖS » .39. And of course, secondary events
possessing lesser values of pk , being repeated two
times in due positions (knots of the primary lattice), are perceived as
‘accidentally quite unbelievable'! Example of such low-probable event was
presented earlier: a large sum won by a person playing roulette. (Apropos, when
dealing with the perception of devices of art, the value ÖS » .39 responds to the ‘threshold of
realizing,' i.e., reflexive understanding of deliberate, intentional usage of any
device - see [11].)
Nevertheless,
the most widespread situation responds to the above mentioned version: pk
= .5, i.e., the case of a binary choice
- the given secondary event should either be met at this place, or not, with
equal probabilities of both versions. Such version is typical at least when the
first repetition of the secondary event, i.e., when n = 2, because of unknown
a-priori probability of the event considered. (The subject proceeds - though
implicitly - from the concept of maximal likelihood.) And at the second
repetition (n = 3) the sequence of events becomes perceived as evidently quite
regular, because p(3) = .125
< S.
So again we see ternary structures as
those ones which are ‘dictated' by expectations
inherent in the perceptual procedures.
(Meanwhile,
it seems reasonable to consider the situation of not so strict, but ‘soft'
periodicity: when the secondary event falls not exactly on ‘due' knot, but
maybe on the previous knot or next one, i.e., on one out of these three knots.
In such a case, the probability to meet occasionally the given secondary event
at its due place or near it, equals for the second ‘soft' meeting p(2)
= 1 - (1 - pk)3 which for pk = .5 responds to p(2) = .875, and for the third ‘soft' meeting p(3)
= .8752 = .766, and so on. Only if pk
is rather small, such ‘soft' periodicity can be felt more or less soon, e.g.,
if pk
= .2, then p(2) = .488, p(3) = .238, and only p(4) = .116 < S. In other words, in
such soft case the periodicity is felt only after the fourth meeting with the
secondary event observed. Probably such are situations in the sphere of folk
tokens dealing with weather, which were investigated by Kharuto [12].)
From
partial psychological and cultural regularities - to general ones
The above
considerations permit not only to establish links between different branches of
the informational approach (or between different models obtained in the
framework of this approach), but also to come to some rather non-trivial
conclusions concerning various psychological and cultural regularities, even
having gnosiological sounding. However, first of all, it is desirable to
outline the borderlines of the
phenomenon in question: the triplicity - should it be met everywhere, in all
spheres and all situations? - Of course, not!
When
considering the roots of this phenomenon, we proceeded from considerations
which possessed quite definite specificity:
in all cases we did not deal with the "content" of objects (or events)
perceived, their own features.
Really, the non-motivated classification is determined not to single out
objects which are useful for the subject, - but simply to keep information about
various objects. As well, the three-detector procedure of determining spectral
characteristics of objects, does not concern any "usefulness" of objects
perceived. Finally, the lattice of "secondary" events was considered without
any connection with the nature of these events. If we wished to take into
account the "content" (own properties) of objects or events discussed, the triplicity may turn out to be disadvantageous. For instance, positive
emotion which accompanies the detecting of the regularity (periodicity), is
treated as being caused exactly by the regularity detected, - but not by those
events themselves. (So if these events themselves are sad, accompanying emotion
would be negative, and the phenomenon of triplicity should not take place.)
That is why in some specific situations the behavior of the subject (as well as
the behavior of any informational system, including the system of culture) will
not be subdued to the principle of triplicity.
But
much more interesting are situations giving maximal
chances to this principle. Appropriate conditions take place primarily in
the sphere of art, where the disinterested perception plays an important
role. For some adjacent fields, more or less similar situations are typical.
One of
the most impressive empirical findings dealing with the phenomenon of
triplicity, relates to the number of
colors dominating each national school of painting [13, 14]. Among various
regularities characterizing color properties of painting (which have been
deduced in the framework of the information approach), one should be mentioned
in connection with the problem discussed. In each national culture, a set of three "main colors" (color triad) should
dominate all cultural life, revealing themselves first of all in the system of
painting. Spectral characteristics of these "main colors" are determined by
geographical specificity of appropriate cultural region (primarily by the
character of the sunlight typical for this region). Thus, for French and
Italian painting such a triad consists of yellow, orange, and dark blue colors,
in Spain
these three colors are white, red, and black, and in Russian painting white,
red, and green. These theoretical predictions were corroborated by empirical
investigation concerning 822 paintings of the 15th - 20th
centuries, belonging to French, Italian, Spanish, and Russian culture: each
school revealed inclination to using exactly the above three colors.
Among
other numerous evidences of the preferred triplicity (see also [10]), we may
find three main personages in fairy
tales, various prosaic works (e.g., three musketeers), etc., ternary structures in religion (trinity), philosophy, linguistics, and
other fields. For instance, in anthropology
we see three "main colors" in
primitive cultures: red, white, and black, - being symbols of three main
substances of human beings (blood, sperm, and faeces, respectively). Many other
examples can be used to corroborate the principle of triplicity in various
kinds of art [10]. So maybe it was not without reason great English poet Robert
Browning wrote:
Then a mile of warm sea-scented beach;
Three fields to cross till a farm appears...
(Robert Browning, Meeting at night)
In
future, it seems prospective to consider the phenomenon of musical melody in the light of this principle. In fact, the
listener is constantly waiting for a certain regularity to be discovered, i.e.,
the repetition of definite features of sounds. (The number of such features should
also be not more than three, because of the limited 8-state volume of the above
mentioned first step of our memory, let these features be, for instance, the
tonality, the loudness, and so on.) For works of the so-called ‘light music'
(e.g., jazz) dealing with orderings which are functioning at short distances (involving
the first step of the memory or the second one, responding to time intervals up
to 3 seconds), the composer may use only one kind of repetition to be expected.
But for works of ‘serious' music (e.g., symphonies) which deal with larger
spaces (up to several hours, responding to the functioning of the third step of
memory - having an unlimited volume), the total number of the features used can
be much more, as far as they may function at different levels: one set of
features at the level of instant sounding, another set linking certain
perceptual ‘blocks,' other sets providing repetition on more and more high
levels (scales).
As
well, prospective may be the application of the approach derived, to some
problems of poetical structures. Here
rather important role should be played by the three-mechanism model of the language
processes. (Appropriate model contains such mechanisms as associative,
grammatical, and correlational, and all the richness of our mental world is
provided due to the interactions of these three mechanisms - see, e.g., [2, 9].)
The phenomenon of rhyme, together
with its possible (in future) borders, can be considered in the light of
‘pleasure' received due to certain phoneme repetition (which is governed by the
triplicity). The very existence of the free
verse, together with the criteria of its distinction from ‘classical'
verse, can be also considered proceeding from the principle of the triplicity
(and maybe also three-parametric structure).
But the
realm of the phenomenon considered is not limited by the sphere of arts: due to
rather universal (non-specific) character of this phenomenon, it is capable of
penetrating many other spheres, especially those ones which are based on unconscious processes. For instance, the
three-dimensional semantic space which
is inherent in most perceptual processes (namely such space is usually fixed in
experiments using semantic differential techniques, starting from Osgood et al.
[15]), is one of the consequences of the principle of the triplicity. Moreover,
the three-dimensionality of our perceptual space (in which we live) can
be hopefully ascribed to the same principle: we wish to receive positive
emotions when perceiving various objects and/or events, hence, it is desirable
to plunge them in the three-dimensional space. At least, both ‘spatial' and
‘temporal' motives are constantly "pushing" us to such worldview.
So
maybe in general, we are living in a very strange
world, determined mainly by our desire to receive positive emotions, under conditions of quite definite properties of
our memory and appropriate informational processes? In turn, our positive
emotions caused by the processes of establishing the regularities, are tightly
connected with the very our survival!
[Really, to survive, it is necessary to establish links inherent to the
environment.] Hence, to survive, we should be constantly in search for regularities, and the
triplicity is one of our mighty means in this process. Possibly here are the
roots of many features of our world, including its three-dimensionality?
And
going further, maybe this is exactly where we can find the key to the famous ‘antropial principle,' i.e., the riddle
of the very existence of the world in which we live?
* * *
We hope
further efforts to establish links between different branches of the
informational approach can result not only in growing self-consistency of this
approach, but also in various findings both of concrete character and rather
general one.
Acknowledgements
The
author wishes to express his gratitude to Leonid Dorfman, Alexander Kharuto, Alexander
Levich, Colin Martindale, Sergey Chesnokov, Kseniya Sapozhnikova, Alexander
Stepanov, and Roald Taimanov for fruitful discussions on the problems of the
paper.
References
[1] G. A.
Golitsyn, Information and Creation: On
the Path to ‘Integral Culture.' Moscow:
Russky Mir, 1997 (in Russian).
[2] G. A.
Golitsyn, & V. M. Petrov, Information
and Creation: Integrating the ‘Two Cultures.' Basel;
Boston; Berlin:
Birkhauser Verlag, 1995.
[3] V. M.
Petrov, The Information Approach to Human
Sciences, Especially Aesthetics. In: C. Martindale, P. Locher, & V. Petrov
(Eds.), Evolutionary and Neurocognitive Approaches to Aesthetics, Creativity,
and the Arts. Amityville, NY: Baywood Publishing Co., 2007. Pp.
129-148.
[4] G.
A. Golitsyn, & V. M. Petrov, Information
and Biological Principles of Optimality: Harmony and Algebra of Living. Moscow: KomKniga, 2005 (in
Russian).
[5] S.
V. Fomin, Scales of Notations. Moscow: Nauka (in
Russian).
[6] B.
V. Sukhotin, Classification and Sense.
In: V. P. Grigoriev (Ed.), Problemy Strukturnoy Lingvistiki. 1981. Moscow: Nauka, 1983. Pp.
52-65 (in Russian).
[7] Yu.
M. Zabrodin, & A. N. Lebedev, Psychophysiology
and Psychophysics. Moscow:
Nauka, 1977 (in Russian).
[8] L.
A. Mazhul, & V. M. Petrov, Logic of
Finiteness: Intellectual Systems in the Information Era. 2. Limits to
Diversity, Exactness, and Economy. In: H. Hrachovec, A. Pichler, & J.
Wang (Eds.), Philosophy of the Information Society (Papers of the 30th
International Wittgenstein Symposium). Kirchberg am Wechsel: Austrian Ludwig
Wittgenstein Society, 2007. Pp. 150-152.
[9] G.
A. Golitsyn, & V. M. Petrov, Information
- Behavior - Language - Creativity. Moscow:
LKI Publishers, 2007 (in Russian).
[10] A.
I. Stepanov, The Number and Culture: The Rational Unconscious in the Language,
Fiction, Science, Present Politics, Philosophy, History. Moscow: Languages of Slavic Culture, 2004 (in
Russian).
[11] V.
M. Petrov, Devices of Art: Optimal
Frequency of Occurrence (Information Approach). In: R. Tomassoni (Ed.), Pa
Psicologia delle Arti Oggi. Milano: Franco Angeli, 2002. Pp. 43-48.
[12] A.
V. Kharuto, Year Cycles of Changing Air Temperature
and Folk Calendar: A Statistical Comparison. In: A. V. Kharuto & V. M. Petrov
(Eds.), Information, Time, Creativity. International Conference ‘New Methods in
Studies of Artistic Creativity' and International Symposium ‘Information Approach
in Studies of Art and Culture.' Abstracts. Moscow: State Institute for Art Studies; P. I.
Tchaikovsky Moscow State Conservatory, 2007. Pp. 88-93 (in Russian).
[13] V.
S. Gribkov, & V. M. Petrov, Color
Elements in National Schools of Painting: A Statistical Investigation.
Empirical Studies of the Arts, vol. 14, No. 2, pp. 165-181, 1996.
[14] V.
M. Petrov, Quantitative Methods in Art
Studies: A Handbook for Students. Moscow:
Academic Project, 2004 (in Russian).
[15] C.
E. Osgood, G. J. Suci, & P. H. Tannenbaum, The Measurement of Meaning. Urbana,
1957.
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