<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Archiving and Interchange DTD v1.0 20120330//EN" "JATS-archivearticle1.dtd">
<article xmlns:xlink="http://www.w3.org/1999/xlink">
  <front>
    <journal-meta />
    <article-meta>
      <title-group>
        <article-title>Game-theoretic model of wide social groups' behavior with stimulation of volunteering activities</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>M I Geraskin</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>Samara National Research University</institution>
          ,
          <addr-line>Moskovskoe Shosse, 34, Samara, Russia, 443086</addr-line>
        </aff>
      </contrib-group>
      <pub-date>
        <year>2019</year>
      </pub-date>
      <fpage>43</fpage>
      <lpage>49</lpage>
      <abstract>
        <p>The problem of developing tools for the stimulation system of socially optimal actions (volunteering) is considered. Based on the study of the population's differentiation according to the propensity to an altruism, the game-theoretic model of the social group's behavior is formed, accounting for the incentives for volunteering. In the cases of the linear decreasing incentive function and the linear cost functions of agents, the Cournot-Nash equilibrium mechanism in the corresponding game is proved. An existence of the equilibrium actions and an impact of incentives on the volunteers' time distribution are confirmed by the simulation of the volunteers' behavior in Russia.</p>
      </abstract>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>1. Introduction</title>
      <p>In Russia, in recent years, volunteering has been developing, because in 2016 a number of the
volunteers was 1.435 million1, i.e., 1% of the population. The volunteering is realized in the
performance of actions that maximize the collective utility function, that is, socially optimal actions.
The volunteers do not receive income, therefore, these actions do not correspond to the criterion of
individual rationality. The Russian statistics demonstrates that moral motivation is effective for a
narrow social group of altruistic people. Among the broad masses of the population, trends of
individual rationalism [1,2] are exist. The state programs [3,4] implement for overcoming of these
trends. In addition, the expansion of volunteering can be provided by the system of stimulation of
these actions on the base of the state information system [5].</p>
      <p>The interconnection algorithms of the stimulation system and the information system [6,7] enable
to solve the problems of personalized registration of citizens' actions, the distribution of the state
incentive fund, the monitoring of the of the stimulation effectiveness.</p>
      <p>The methodological basis for the development of incentive systems includes the following
mechanisms: the competitive mechanism is Pareto-efficient and optimal by the criterion of the
additive utility function under non-coalition [8] and coalition [9] agents' behavior; the mechanism of
sequential resource distribution (MSRD) [10,11]; the mechanisms of direct and reverse priorities [12].
For MSRD the existence and the uniqueness were proved [13]; according to MSRD, the incentive is
distributed [14] as a minimum of the agent's message about its action and the average undistributed
rest of incentives. MSRD satisfies [15] the conditions of individual rationality, Pareto efficiency and
1 Labor and employment in Russia 2017: Statistic compilation / Rosstat. Moscow. 2017. 261 p. http://www.gks.ru/free_doc/doc_2017/
trud_2017.pdf
non-manipulability. MSRD is not applicable in a system with independent and simultaneous agents’
actions, because the MSRD implies the sequential registration of the agent’ actions and the
distribution of incentives. Therefore, we use the compensatory linearly decreasing stimulation
function, for which these conditions were proved [6,7]. The simulation of the social management
[16,17] on the basis of the large groups of population demonstrated the effectiveness of this approach.
The utility functions of agents can take into account the symmetry and asymmetry of their awareness
[18], which is provided by analyzing the correlation of information flows between social groups
[19,20].</p>
      <p>The stimulation system of socially optimal actions provides the following results:
- an increase in a number of the volunteers and the time fund of these actions;
- the cross-impact of the altruism and the individual rationality on the behavior of the population
groups;</p>
      <p>- an emergence of the contradictions between the interests of large social groups, differentiated by a
degree of the propensity to the altruism.</p>
      <p>Consequently, the model of the population behavior can be formed as the non-cooperative game of
the social groups (hereinafter, the agents). The utility functions of these agents include both the
incentives for performing socially optimal actions and the loss of the income due to the redistribution
of available time, which is a constraint.
ak = ζk (D) = Dδak , δak ∈ [0,1], D &gt;&gt; 1, k ∈ K ,
where D is the disposable time fund, i.e., the physical time fund with the exception of the rest time; δa
is the elasticity coefficient of the “charitable” time to D, which characterizes the propensity to the
altruism; K is the set of agents; ak is the component of the socially optimal actions vector
A = {ak , k ∈ K }.</p>
      <p>
        Definition: the altruism (the propensity to the charity) of the kth agent is called the type of agent,
for which δak &gt; 0,5 in function (
        <xref ref-type="bibr" rid="ref2">1</xref>
        ).
      </p>
      <p>We introduce the hypothesis of the influence of the propensity to the altruism on the agent's
behavior: an increase in the propensity to the altruism leads to a decrease in the utility of the wage,
i.e.,</p>
      <p>
        Uδ/a ( pd ) &lt; 0 , (
        <xref ref-type="bibr" rid="ref3">2</xref>
        )
where d is the working time interval; pd is the price (the tariff rate) of the working time; U (•) is the
continuously differentiated utility function of the agent.
      </p>
      <p>In the case of the stimulation, the model of the agents’ actions choice includes the utility function
and the stimulation function. We describe these components of the model.</p>
      <p>The agent’s utility function is the difference between the sum of the incentives and the costs of the
working time loss:</p>
      <p>
        U k (ak ) = paak − p1d−δak ak , k ∈ K , (
        <xref ref-type="bibr" rid="ref4">3</xref>
        )
where pa is the sum of the insensitive, i.e., the price of a unit of “charitable” time. Formula (
        <xref ref-type="bibr" rid="ref4">3</xref>
        )
corresponds to hypothesis (
        <xref ref-type="bibr" rid="ref3">2</xref>
        ), because, with a growth of δa , the influence of the working time price
and the working time fund on the agent’s utility decreases.
      </p>
      <p>The stimulation function determines the price of the insensitive as follows [7]:
pa (A) = b1 − b2 ∑ nk ak , k ∈ K , b1, b2 &gt; 0 ,</p>
      <p>
        k∈K
(
        <xref ref-type="bibr" rid="ref2">1</xref>
        )
(
        <xref ref-type="bibr" rid="ref5">4</xref>
        )
where nk is the number of agents in kth social group, which is constant in the current period; b1, b2
are the constant coefficients, calculated by the following formulas
      </p>
      <p>b1 = pd A0 A−0AD ,b2 = A0 p−dAD , A0 = k∑∈K ak0, AD = D2 k∑∈K nk . (4а)
The coefficients b1, b2 depend on the of agents’ actions vector in the previous period
A0 = {ak0 , k ∈ K }. Formulas (4a) are obtained on the basis of the following conditions1: 1) in the
absence of incentives (i.e., for pa (A) = 0 ), the total number of the socially optimal actions is equal to
∑ ak0 ; 2) when the price of the incentive is equal to the average wage pd , the disposable time fund is
k∈K
D
divided equally between the working time and the “charitable” time (i.e., ).
2</p>
      <p>
        We consider the problem of searching for the Nash equilibrium vector А from the maximum of the
utility function (
        <xref ref-type="bibr" rid="ref4">3</xref>
        ) under condition (
        <xref ref-type="bibr" rid="ref5">4</xref>
        ) in the case of the constancy of the agents’ number in all social
groups (i.e., ∂nk = 0∀k ∈ K ).
      </p>
      <p>∂pa</p>
    </sec>
    <sec id="sec-2">
      <title>3. Results and discussion</title>
      <p>The equilibrium conditions are formulated as the following assertion.</p>
      <p>
        Assertion 12. The actions vector А, satisfying the following conditions
b1 − b2 ∑j∈K n ja j − b2nk ak 1 + j∈∑K \k ∂∂aakj  − p1d−δak = 0 ,
∑ ∂a j &gt; −2, k ∈ K , (
        <xref ref-type="bibr" rid="ref7">6</xref>
        )
j∈K \k ∂ak
is the Nash equilibrium in problem (
        <xref ref-type="bibr" rid="ref4">3</xref>
        ), (
        <xref ref-type="bibr" rid="ref5">4</xref>
        ).
      </p>
      <p>In the case of the Cournot hypothesis [21], all agents symmetrically do not change the selected
actions in response to the environment’s actions, i.e.</p>
      <p>∂a j = 0, j ∈ K \ k ,
∂ak
which corresponds to the simultaneous and independent choice of actions.</p>
      <p>
        Under condition (
        <xref ref-type="bibr" rid="ref8">7</xref>
        ), system (
        <xref ref-type="bibr" rid="ref1 ref6">5</xref>
        ) has the following form
      </p>
      <p>
        b + p1d−δak
2nk ak + ∑ n ja j − αk = 0, αk = 1 , k ∈ K , (
        <xref ref-type="bibr" rid="ref9">8</xref>
        )
j∈K \k b2
The solution of the system (
        <xref ref-type="bibr" rid="ref9">8</xref>
        ) by the Kramer's method can be written as follows:
      </p>
      <p>
        nαk − ∑ α j
ak* = j∈K \k , k ∈ K , (
        <xref ref-type="bibr" rid="ref10">9</xref>
        )
(n + 1)nk
where the symbol “*” denotes the equilibrium values, n is the number of agents in the system. For the
Cournot-Nash equilibrium (
        <xref ref-type="bibr" rid="ref10">9</xref>
        ), conditions (
        <xref ref-type="bibr" rid="ref7">6</xref>
        ) are satisfied considering (
        <xref ref-type="bibr" rid="ref8">7</xref>
        ).
1 In the case of these conditions, the system of equations b1 − b2 A0 = 0,b1 − b2 AD = pd leads to the solution (4a).
 
2 Proof of assertion 1. Function (
        <xref ref-type="bibr" rid="ref4">3</xref>
        ) under (
        <xref ref-type="bibr" rid="ref5">4</xref>
        ) has the form Uk (ak ) =  b1 − b2 ∑ nk ak ak − p1d−δak ak . Therefore,
 k∈K 
the extremum necessary condition Ua/ = 0 can be written in the form (
        <xref ref-type="bibr" rid="ref1 ref6">5</xref>
        ). The sufficient maximum condition
k
Ua// &lt; 0 leads to (
        <xref ref-type="bibr" rid="ref7">6</xref>
        ).
      </p>
      <p>
        k
(
        <xref ref-type="bibr" rid="ref1 ref6">5</xref>
        )
(
        <xref ref-type="bibr" rid="ref8">7</xref>
        )
      </p>
      <sec id="sec-2-1">
        <title>Indicator The average "charitable" time a, hours</title>
        <p>The population nk,
thousand
The total
"charitable" time А,
thousand hours
The structure of
"charitable" time, %
δak (a)
f k (a)</p>
      </sec>
      <sec id="sec-2-2">
        <title>The agent’s index</title>
        <p>Total</p>
        <p>8.6
1435
12398</p>
        <p>100
0.181
2.35
997
2343
18.90
0.181
1
15
243
3645
29.40
0.574</p>
        <p>2
0.070
0.018
0.005
0.000
0.000</p>
        <p>0.000
20
82
1640
13.23
0.635
3
e
30
48
1440
11.62
0.721
4
40
23
920
7.42
0.782
5
50
11
550
4.44
0.829
6
60
9.8
588
4.74
0.868</p>
        <p>
          We simulate the equilibrium (
          <xref ref-type="bibr" rid="ref12">11</xref>
          ) using the example of the social groups of Russian volunteers
(Table 1). The actual propensity to the altruism is calculated by the formula δak (a) = ln ak that
ln D
follows from formula (
          <xref ref-type="bibr" rid="ref2">1</xref>
          ), where the weekly time fund is taken equal to D=112 hours; the graph of the
function δak (a) is shown in Fig. 1. The actual distribution function of the population in groups with
different propensities to the altruism is calculated by the formula fk (a) =
nk .
∑ nk
k∈K
Table 1 Analysis of the volunteers in 2016.
        </p>
        <p>Including time worked per week, hours
&lt;9 9 – 15 16 – 20 21 – 30 31 – 40 41 – 50
&gt;51
70
9
630
5.08
0.900</p>
        <p>The model of the probability distribution of volunteers according to the "charitable" time has the
form of the normal law with certain values of the kurtosis and the asymmetry [7]:
f (a) =</p>
        <p>1
σa 2π
− w(a−a l )2
2σa2 ,
where a , σa are the mathematical expectation and the standard deviation of the initial distribution of
the random variable of the "charitable" time; l is the coefficient taking into account the asymmetry
(l&gt;1 is the left asymmetry, l&lt;1 is the right asymmetry) in comparison with the normal law (l = 1); w is
the coefficient taking into account the kurtosis (w&lt;1 is a more uniform distribution, w&gt; 1 is a less
uniform distribution) in comparison with the normal law (w = 1).</p>
        <p>
          According to a degree of the propensity to the altruism, the model of the distribution density of
volunteers has a similar form (
          <xref ref-type="bibr" rid="ref11">10</xref>
          ), but because the function δak (ak ) is calculated through a
logarithmic relationship, instead of formula (
          <xref ref-type="bibr" rid="ref11">10</xref>
          ), the following formula is used:
f (δa ) =
        </p>
        <p>
          1
eσδ 2π
e
ew1  eδa −(eδ )l1 2
−  
2(eσδ )2
where δ, σδ are the mathematical expectation and the standard deviation of the initial distribution of
the random value of the propensity to the altruism, the parameters w1, l1 are similar to the parameters
w, l for the distribution (
          <xref ref-type="bibr" rid="ref11">10</xref>
          ).
        </p>
        <p>
          Using the least squares algorithm implemented in the MSExcel processor, the following values of
the coefficients of functions (
          <xref ref-type="bibr" rid="ref11">10</xref>
          ), (
          <xref ref-type="bibr" rid="ref12">11</xref>
          ) are obtained: a = 8,6, σa = 0,57 , w = 0,007, l = 0,58 ,
δ = 0,18, σδ = −0,65 , w = 0,43, l1 = 0,08 . The statistical estimates of regressions (for function (
          <xref ref-type="bibr" rid="ref11">10</xref>
          )
1
0,6
0,5
0,4
0,3
0,2
0,1
0,0
A (δa )200
180
160
140
120
100
80
60
40
20
0
R2 = 0,99, F = 257 , for function (
          <xref ref-type="bibr" rid="ref12">11</xref>
          ) R2 = 0,99, F = 218 ) prove their adequacy. Therefore, the
distributions of volunteers according to the time and the propensity to the altruism correspond to the
right branch of the Gauss function, that is, the mathematical expectations of the time and the
propensity to the altruism are close to the minimum of these indicators. Functions (
          <xref ref-type="bibr" rid="ref11">10</xref>
          ), (
          <xref ref-type="bibr" rid="ref12">11</xref>
          ) with
regard to the indicated coefficients are shown in Fig. 1.2.
        </p>
        <p>10
20
30
f(a)
40</p>
        <p>50
f~(a)
60
δa
70
80
a</p>
        <p>
          Consider the Cournot-Nash equilibrium (
          <xref ref-type="bibr" rid="ref10">9</xref>
          ) for agents, which are indexed in accordance with
Table. 1. In Fig. 3 the distribution functions of the time depending on a degree of the propensity to the
altruism with different insensitives are shown. In Fig. 4 the dependence of the volunteers’ time on the
insensitive is demonstrated.
        </p>
        <p>AΣ(Pa)
10600
10400
10200
10000
9800
9600
9400
9200
9000
8800
8600
0
100
200
300
400
500</p>
        <p>Pa</p>
        <p>The analysis of the Cournot-Nash equilibria simulation leads to the following conclusions.</p>
        <p>First, the distribution of “charitable” time is closest to the real distribution for Ра=0, but the
calculated equilibrium actions are lower than the actual values for the agents with low propensity to
the altruism, and higher than the actual values for the agents with high propensity to the altruism.
Moreover, the volunteers’ time at Ра=0 is lower than the actual value. However, the average deviation
of the total time for each agent from the total actual time is 4%. Consequently, in the developed
equilibrium model, the influence of the population’s propensity to the altruism on the volunteers’ time
is slightly exaggerated.</p>
        <p>Second, in the case of the equilibrium distribution, the agents with the highest propensity to the
altruism make the greatest contribution to the volunteers’ time.</p>
        <p>Third, with a growth of the insensitive, the distribution of “charitable” time becomes increasingly
uneven, that is, the “charitable” time increases slightly for the agents with low propensity to the
altruism and increases sharply for the agents with high propensity to the altruism. Therefore, the
agents with high propensity to the are the most sensitive to stimulation.</p>
        <p>Fourth, with an increasing in the incentive, the total “charitable” time grows, i.e., the stimulation
influences on the involvement in volunteering for high and low altruistic agents.</p>
      </sec>
    </sec>
    <sec id="sec-3">
      <title>4. Conclusion</title>
      <p>The problem of the developing the information tools for the system of the volunteering stimulation is
considered. In the article, the following main results are obtained.</p>
      <p>The game-theoretic model of the social groups’ behavior is developed, taking into account the
stimulation of volunteering, based on the differentiation of the population according to the altruism
and the individual rationality.</p>
      <p>In the case of the linear diminishing incentive function and the linear agents’ cost functions, the
Cournot-Nash equilibrium mechanism in the corresponding game is proved.</p>
      <p>The simulation of the volunteers’ behavior in Russia demonstrates the adequacy of the model, the
existence of the equilibrium actions vector and the effect of the stimulation on the volunteers’ time.</p>
      <p>The analysis shows that the stimulation system has the greatest effect on the agents with high
propensity to altruism, but the growth of socially optimal actions is manifested in all social groups.</p>
    </sec>
  </body>
  <back>
    <ref-list>
      <ref id="ref1">
        <mixed-citation>5. Literature</mixed-citation>
      </ref>
      <ref id="ref2">
        <mixed-citation>
          [1]
          <string-name>
            <surname>Roland</surname>
            <given-names>G 2000</given-names>
          </string-name>
          <string-name>
            <surname>Transition and</surname>
          </string-name>
          <article-title>Economics</article-title>
          . Politics, Markets, and
          <string-name>
            <surname>Firms</surname>
          </string-name>
          (Cambridge: MIT Press) p
          <fpage>840</fpage>
        </mixed-citation>
      </ref>
      <ref id="ref3">
        <mixed-citation>
          [2]
          <string-name>
            <surname>Braguinsky</surname>
            <given-names>S</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Yavlinsky</surname>
            <given-names>G 2000</given-names>
          </string-name>
          <string-name>
            <surname>Incentives and</surname>
          </string-name>
          <article-title>Institutions. Transition to a Market Economy in Russia (NJ</article-title>
          .: Princeton University Press) p
          <fpage>420</fpage>
        </mixed-citation>
      </ref>
      <ref id="ref4">
        <mixed-citation>
          <source>[3] RF Government Decree of 30.12</source>
          .2015
          <string-name>
            <surname>N 1493</surname>
          </string-name>
          <article-title>"On State program" Patriotic Education of Citizens of the Russian Federation for 2016-2020"</article-title>
        </mixed-citation>
      </ref>
      <ref id="ref5">
        <mixed-citation>
          <source>[4] RF Government Decree of December 27</source>
          ,
          <year>2012</year>
          N 2567
          <article-title>-r "On the state program of the Russian Federation" Development of Culture and Tourism "2013-2020"</article-title>
        </mixed-citation>
      </ref>
      <ref id="ref6">
        <mixed-citation>
          <source>[5] RF Government Decree of 15.04.2014 N 313 (as amended on 10.21</source>
          .
          <year>2016</year>
          .)
          <article-title>"On approval of the Russian Federation, the state program" Information Society (</article-title>
          <year>2011</year>
          -2020)
          <article-title>"</article-title>
        </mixed-citation>
      </ref>
      <ref id="ref7">
        <mixed-citation>
          [6]
          <string-name>
            <surname>Geraskin</surname>
            <given-names>М</given-names>
          </string-name>
          <article-title>I 2017 Algorithms of the information stimulation system of Russian citizens' sociooptimal actions</article-title>
          <source>CEUR Workshop Proceedings</source>
          <volume>1903</volume>
          <fpage>92</fpage>
          -
          <lpage>99</lpage>
        </mixed-citation>
      </ref>
      <ref id="ref8">
        <mixed-citation>
          [7]
          <string-name>
            <surname>Geraskin</surname>
            <given-names>М</given-names>
          </string-name>
          <article-title>I 2018 Analysis of the influence of citizens' altruism on the effectiveness of the socially-optimal actions stimulation system</article-title>
          <source>CEUR Workshop Proceedings</source>
          <volume>2212</volume>
          <fpage>431</fpage>
          -
          <lpage>439</lpage>
        </mixed-citation>
      </ref>
      <ref id="ref9">
        <mixed-citation>
          [8]
          <string-name>
            <surname>Burkov</surname>
            <given-names>V N</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Danev</surname>
            <given-names>B</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Enaleev</surname>
            <given-names>A K</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Nanev</surname>
            <given-names>T B</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Podvalny L D and Yusupov B S 1988</surname>
          </string-name>
          <article-title>Competitive mechanisms in problems of distribution of scarce resources Avtomatika i</article-title>
          telemekhanika
          <volume>11</volume>
          <fpage>142</fpage>
          -
          <lpage>153</lpage>
        </mixed-citation>
      </ref>
      <ref id="ref10">
        <mixed-citation>
          [9]
          <string-name>
            <surname>Burkov</surname>
            <given-names>V N</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Enaleev A K and Kalenchuk</surname>
            <given-names>V F</given-names>
          </string-name>
          <year>1989</year>
          <article-title>Coalition with the competitive mechanism of resource distribution Avtomatika i</article-title>
          telemekhanika
          <volume>12</volume>
          <fpage>81</fpage>
          -
          <lpage>90</lpage>
        </mixed-citation>
      </ref>
      <ref id="ref11">
        <mixed-citation>
          [10]
          <string-name>
            <surname>Burkov</surname>
            <given-names>V N</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Enaleev A K and Lavrov Y G 1992</surname>
          </string-name>
          <article-title>Synthesis of optimal planning and incentive mechanisms in the active system</article-title>
          <source>Avtomatika i telemekhanika</source>
          <volume>10</volume>
          <fpage>113</fpage>
          -
          <lpage>120</lpage>
        </mixed-citation>
      </ref>
      <ref id="ref12">
        <mixed-citation>
          [11]
          <string-name>
            <surname>Burkov</surname>
            <given-names>V N</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Iskakov M B and Korgin</surname>
            <given-names>N A</given-names>
          </string-name>
          <year>2010</year>
          <article-title>Application of generalized median schemes for the construction of non-manipulable mechanism multicriterion active expertise Automation</article-title>
          and
          <source>Remote Control</source>
          <volume>71</volume>
          (
          <issue>8</issue>
          )
          <fpage>1681</fpage>
          -
          <lpage>1694</lpage>
        </mixed-citation>
      </ref>
      <ref id="ref13">
        <mixed-citation>
          [12]
          <string-name>
            <surname>Korgin</surname>
            <given-names>N A</given-names>
          </string-name>
          <year>2009</year>
          <article-title>Equivalence of non-manipulable and non-anonymous priority resource distribution mechanisms Upravleniye bol</article-title>
          '
          <source>shimi sistemami 26</source>
          .1
          <fpage>319</fpage>
          -
          <lpage>347</lpage>
        </mixed-citation>
      </ref>
      <ref id="ref14">
        <mixed-citation>
          [13]
          <string-name>
            <surname>Burkov</surname>
            <given-names>V N</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Gorgidze</surname>
            <given-names>I I</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Novikov</surname>
            <given-names>D A</given-names>
          </string-name>
          and
          <string-name>
            <surname>Yusupov</surname>
            <given-names>B S</given-names>
          </string-name>
          <year>1997</year>
          <article-title>Models and cost and revenue distribution mechanisms in the market economy (Moskva: Institut problem upravleniya</article-title>
          ) p
          <fpage>356</fpage>
        </mixed-citation>
      </ref>
      <ref id="ref15">
        <mixed-citation>
          [14]
          <string-name>
            <surname>Korgin</surname>
            <given-names>N A</given-names>
          </string-name>
          <year>2010</year>
          <article-title>Use of intersection property for analysis of feasibility of multicriteria expertise results Automation</article-title>
          and
          <source>Remote Control</source>
          <volume>71</volume>
          (
          <issue>6</issue>
          )
          <fpage>1169</fpage>
          -
          <lpage>1183</lpage>
        </mixed-citation>
      </ref>
      <ref id="ref16">
        <mixed-citation>
          [15]
          <string-name>
            <surname>Burkov</surname>
            <given-names>V N</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Korgin</surname>
            <given-names>N A</given-names>
          </string-name>
          and
          <string-name>
            <surname>Novikov</surname>
            <given-names>D A</given-names>
          </string-name>
          <year>2016</year>
          <article-title>Problems of aggregation and decomposition mechanisms of management of organizational</article-title>
          and
          <source>technical systems Problemy upravleniya</source>
          <volume>5</volume>
          <fpage>14</fpage>
          -
          <lpage>23</lpage>
        </mixed-citation>
      </ref>
      <ref id="ref17">
        <mixed-citation>
          [16]
          <string-name>
            <surname>Khaimovich</surname>
            <given-names>I N</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Ramzaev V M and Chumak</surname>
            <given-names>V G</given-names>
          </string-name>
          <year>2016</year>
          <article-title>Use of big data technology in public and municipal management</article-title>
          <source>CEUR Workshop Proceedings</source>
          <volume>1638</volume>
          <fpage>864</fpage>
          -
          <lpage>872</lpage>
        </mixed-citation>
      </ref>
      <ref id="ref18">
        <mixed-citation>
          [17]
          <string-name>
            <surname>Khaimovich</surname>
            <given-names>I N</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Ramzaev V M and Chumak</surname>
            <given-names>V G</given-names>
          </string-name>
          <year>2015</year>
          <article-title>Challenges of data access in economic research based on</article-title>
          <source>Big Data technology CEUR Workshop Proceedings</source>
          <volume>1490</volume>
          <fpage>327</fpage>
          -
          <lpage>337</lpage>
        </mixed-citation>
      </ref>
      <ref id="ref19">
        <mixed-citation>
          [18]
          <string-name>
            <surname>Faizliev</surname>
            <given-names>A R</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Korotkovskaya</surname>
            <given-names>E V</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Sidorov S P</surname>
            , Smolov F M and Vlasov
            <given-names>A</given-names>
          </string-name>
          <article-title>A 2018 Utility Maximization for an Investor with Asymmetric Attitude to Gains and Losses over the MeanVariance Efficient</article-title>
          <source>Frontier Journal of Physics: Conference Series</source>
          <volume>1141</volume>
          (
          <issue>1</issue>
          )
          <fpage>012017</fpage>
        </mixed-citation>
      </ref>
      <ref id="ref20">
        <mixed-citation>
          [19]
          <string-name>
            <surname>Sidorov</surname>
            <given-names>S</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Faizliev</surname>
            <given-names>A</given-names>
          </string-name>
          and
          <string-name>
            <surname>Balash</surname>
            <given-names>V 2017</given-names>
          </string-name>
          <article-title>Measuring long-range correlations in news flow intensity time series</article-title>
          <source>International Journal of Modern Physics C</source>
          <volume>28</volume>
          (
          <issue>8</issue>
          )
          <fpage>1750103</fpage>
        </mixed-citation>
      </ref>
      <ref id="ref21">
        <mixed-citation>
          [20]
          <string-name>
            <surname>Kulikovskikh I M 2017</surname>
          </string-name>
          <article-title>Anomaly detection in an ecological feature space to improve the accuracy of human activity identification in buildings</article-title>
          <source>Computer Optics</source>
          <volume>41</volume>
          (
          <issue>1</issue>
          )
          <fpage>126</fpage>
          -
          <lpage>133</lpage>
          DOI: 10.18287/
          <fpage>2412</fpage>
          -6179-2017-41-1-
          <fpage>126</fpage>
          -133
        </mixed-citation>
      </ref>
      <ref id="ref22">
        <mixed-citation>
          [21]
          <string-name>
            <surname>Cournot</surname>
            <given-names>A A</given-names>
          </string-name>
          <year>1960</year>
          <article-title>Researches into the Mathematical Principles of the Theory of Wealth (London: Hafner)</article-title>
        </mixed-citation>
      </ref>
    </ref-list>
  </back>
</article>