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Novikov Dmitry Alexandrovich

Publications in Math-Net.Ru

  1. ISAND: an information system for scientific activity analysis (in the field of control theory and its applications)

    Probl. Upr., 2024, no. 3,  42–65
  2. Analysis of the terminological structure of control theory

    UBS, 110 (2024),  181–210
  3. Distributed intelligence of multi-agent systems. Part II: Collective intelligence of social systems

    Probl. Upr., 2023, no. 6,  3–21
  4. Distributed intelligence of multi-agent systems. Part I: Basic features and simple forms

    Probl. Upr., 2023, no. 5,  3–22
  5. Models of joint dynamics of opinions and actions in online social networks. Part III: Binary models

    Probl. Upr., 2023, no. 4,  14–27
  6. Models of joint dynamics of opinions and actions in online social networks. Part II: Linear models

    Probl. Upr., 2023, no. 3,  40–64
  7. Models of joint dynamics of opinions and actions in online social networks. Part I: Primary data analysis

    Probl. Upr., 2023, no. 2,  37–53
  8. Bounded rationality and control

    Mat. Teor. Igr Pril., 14:1 (2022),  49–84
  9. The structure of creative activity

    Probl. Upr., 2021, no. 5,  20–33
  10. Models of experience

    Probl. Upr., 2021, no. 1,  43–60
  11. Optimal schedule to test independent hypotheses

    UBS, 94 (2021),  5–32
  12. Classification of mathematical models of activity

    UBS, 91 (2021),  5–37
  13. Dynamics models of mental and behavioral components of activity in collective decision-making

    UBS, 85 (2020),  206–237
  14. Control systems classification

    Probl. Upr., 2019, no. 4,  27–42
  15. Digital energy development problems in Russia

    Probl. Upr., 2019, no. 1,  2–14
  16. Learning curves estimates

    UBS, 82 (2019),  6–27
  17. Models of a technology of complex activity control

    UBS, 78 (2019),  174–220
  18. Models of designing and learning a technology of complex activity

    UBS, 77 (2019),  171–218
  19. Analytical complexity and errors of solving control problems for organizational and technical systems

    Avtomat. i Telemekh., 2018, no. 5,  107–118
  20. Foundations of the complex activity theory. Part 2. Life cycles of complex activity. Organization and management as a complex activity

    Probl. Upr., 2018, no. 5,  39–48
  21. Foundations of the complex activity theory. Part 1. The structures of complex activity. Uncertainty and generation of complex activity

    Probl. Upr., 2018, no. 4,  36–45
  22. Network active systems: planning and stimulation models

    Probl. Upr., 2018, no. 1,  47–57
  23. Situational centers of the development in polysubject environment

    Probl. Upr., 2017, no. 5,  31–42
  24. Models of adaptation in dynamic contracts under stochastic uncertainty

    UBS, 68 (2017),  100–136
  25. Integrated models of system optimization of the enterprise activity

    UBS, 65 (2017),  118–152
  26. Dynamic models of mob excitation control in discrete time

    Avtomat. i Telemekh., 2016, no. 10,  123–139
  27. Problems of integration and decomposition of organizational-technical systems' control mechanisms

    Probl. Upr., 2016, no. 5,  14–23
  28. Continuous-time dynamic models of mob excitation

    UBS, 63 (2016),  71–86
  29. Innovational Cournot oligopoly

    Probl. Upr., 2015, no. 5,  45–57
  30. Models of informational confrontation in mob control

    Probl. Upr., 2015, no. 3,  29–39
  31. Models of strategic behavior in the diffuse bomb problem

    Probl. Upr., 2015, no. 2,  38–44
  32. Models of reflexive games in control problems of ecological-economic systems

    UBS, 55 (2015),  362–372
  33. Models of collective threshold behavior in control problems of ecological-economic systems

    UBS, 55 (2015),  35–54
  34. Analysis of some of the leading control conferences

    Avtomat. i Telemekh., 2014, no. 12,  160–166
  35. Parametric regulation of economic growth based on nonautonomous computable general equilibrium models

    Avtomat. i Telemekh., 2014, no. 6,  69–85
  36. Macro- and micromodels of social networks. Part 2. Identification and imitational experiments

    Probl. Upr., 2014, no. 6,  45–51
  37. Micro- and macro-models of social networks. Part 1. Theory fundamentals

    Probl. Upr., 2014, no. 5,  28–33
  38. Stochastic models of mob control

    UBS, 52 (2014),  85–117
  39. Big Data: from Brahe – to Newton

    Probl. Upr., 2013, no. 6,  15–23
  40. Methods to analyse terminological structure of subject area

    UBS, 43 (2013),  5–33
  41. Elements of the theory and methods of parametric regulation of national economy's evolution using discrete dynamic stochastic models

    Avtomat. i Telemekh., 2012, no. 7,  55–66
  42. Models of strategic behavior

    Avtomat. i Telemekh., 2012, no. 1,  3–23
  43. Theory of control in organizations and other organizational studies

    Probl. Upr., 2012, no. 4,  2–10
  44. Models of mob control

    Probl. Upr., 2012, no. 2,  38–44
  45. Hierarchical models of combat

    UBS, 37 (2012),  25–62
  46. Threshold models of reciprocal insurance

    Mat. Teor. Igr Pril., 3:4 (2011),  3–22
  47. The diffuse bomb problem

    Probl. Upr., 2011, no. 5,  66–73
  48. Reflexive partitionings method in the models of collective behaviour and control

    Probl. Upr., 2011, no. 1,  21–32
  49. Weak structural stability of one mathematical model of economic system and the multiplicative effects of parametric control

    Avtomat. i Telemekh., 2010, no. 12,  122–130
  50. Dynamic models of informational control in social networks

    Avtomat. i Telemekh., 2010, no. 11,  172–182
  51. Games and networks

    Mat. Teor. Igr Pril., 2:1 (2010),  107–124
  52. Structural stability and parametric adjustment for macrosystem cyclical dynamics models

    Probl. Upr., 2010, no. 1,  12–17
  53. Game-theoretic models of information confrontation in social networks

    UBS, 31 (2010),  192–204
  54. Models of unified informatioon control in homogeneous social networks

    UBS, 30.1 (2010),  722–742
  55. Models of reputation and information control in social networks

    Mat. Teor. Igr Pril., 1:2 (2009),  14–37
  56. Informational influence and information control models in social networks

    Probl. Upr., 2009, no. 5,  28–35
  57. Active systems theory (history of development)

    Probl. Upr., 2009, no. 3.1,  29–35
  58. Models and mechanisms for ecological-economic systems management

    Probl. Upr., 2009, no. 1,  2–7
  59. Models of influence in social networks

    UBS, 27 (2009),  205–281
  60. Discussion on the scientific journals' evaluation problem

    UBS, 27 (2009),  5–11
  61. Models of reputation and information control in social networks

    UBS, 26.1 (2009),  209–234
  62. Structure of the theory of socio-economic systems management

    UBS, 24 (2009),  216–257
  63. Cognitive games: a linear step-function model

    Probl. Upr., 2008, no. 3,  14–22
  64. Models of tariff-premium stimulation systems

    Avtomat. i Telemekh., 2007, no. 3,  142–153
  65. Problem of stimulating the Pareto-agent

    Avtomat. i Telemekh., 2007, no. 1,  137–146
  66. Model of the hierarchy of needs

    Avtomat. i Telemekh., 2006, no. 9,  172–178
  67. Stability of information equilibrium in reflexive games

    Avtomat. i Telemekh., 2005, no. 3,  113–120
  68. Innovative and investment policy: a technology change model

    Probl. Upr., 2005, no. 5,  55–57
  69. Reflexive models of decision-making

    Probl. Upr., 2004, no. 4,  62–70
  70. Incentive Mechanisms in Dynamic Active Systems

    Avtomat. i Telemekh., 2003, no. 12,  94–104
  71. Information Equilibrium: Punctual Structures of Information Distribution

    Avtomat. i Telemekh., 2003, no. 10,  111–122
  72. Control Mechanisms in Network Structures

    Avtomat. i Telemekh., 2002, no. 12,  96–115
  73. Nomination of Principal in Active Linear System

    Avtomat. i Telemekh., 2002, no. 12,  92–95
  74. Mechanisms of Active Fuzzy Expertise

    Avtomat. i Telemekh., 2002, no. 8,  128–135
  75. Control in Active Systems Based on Criteria and Motivation

    Avtomat. i Telemekh., 2002, no. 7,  107–116
  76. Hedge Control: Mutual and Mixed Insurance

    Avtomat. i Telemekh., 2001, no. 10,  125–131
  77. Aggregation of Information in Incentive Models

    Avtomat. i Telemekh., 2001, no. 4,  120–127
  78. Decomposition of the Game of Agents in Problems of Incentive

    Avtomat. i Telemekh., 2001, no. 2,  163–169
  79. Incentive in active systems: objective functions and metrized relations

    Avtomat. i Telemekh., 2000, no. 9,  138–146
  80. Effectiveness of ranking systems of incentive

    Avtomat. i Telemekh., 2000, no. 8,  115–125
  81. Decentralization of the planning mechanisms in active systems

    Avtomat. i Telemekh., 2000, no. 6,  143–155
  82. Stability of solutions and adequacy of the determinate incentive models in active systems

    Avtomat. i Telemekh., 1999, no. 7,  115–121
  83. Optimal Stimulation in Active Systems under Fuzzy External Uncertainty

    Avtomat. i Telemekh., 1997, no. 9,  201–204
  84. Stimulation in Probabilistic Active Systems and the Uncertainty Factor

    Avtomat. i Telemekh., 1997, no. 8,  168–177
  85. Stimulation Mechanisms in Dynamic and Composite Social Economic Systems

    Avtomat. i Telemekh., 1997, no. 6,  3–26
  86. Mechanisms of Flexible Scheduling in Active Uncertain Systems

    Avtomat. i Telemekh., 1997, no. 5,  118–125
  87. Optimality of Correct Mechanisms for the Control of Active Systems. II. Stimulation Mechanisms

    Avtomat. i Telemekh., 1997, no. 3,  161–167
  88. Optimality of Correct Mechanisms for the Ñontrol of Active Systems. I. Planning mechanisms

    Avtomat. i Telemekh., 1997, no. 2,  154–161
  89. Operation Mechanisms of Social Economic Systems with Information Generalization

    Avtomat. i Telemekh., 1996, no. 3,  3–25
  90. Dynamics of a System with Large Number of Purposeful Elements

    Avtomat. i Telemekh., 1996, no. 2,  187–189
  91. Optimal incentive mechanisms in an active system with probabilistic uncertainty. III

    Avtomat. i Telemekh., 1995, no. 12,  118–123
  92. Optimal incentive mechanisms in an active system with probabilistic uncertainty. II

    Avtomat. i Telemekh., 1995, no. 10,  121–126
  93. Optimal incentive mechanisms in an active system with probabilistic uncertainty. I

    Avtomat. i Telemekh., 1995, no. 9,  117–126
  94. A probabilistic stimulation problem

    Avtomat. i Telemekh., 1993, no. 12,  140–145
  95. Stimulation mechanisms in probability models of socioeconomic systems

    Avtomat. i Telemekh., 1993, no. 11,  3–30
  96. ANALYTICAL COMPLEXITY AND ACCURACY OF SOLVING CONTROL PROBLEMS IN ORGANIZATIONAL-TECHNICAL SYSTEMS

    Avtomat. i Telemekh.,  0

  97. Ìèõàèë Ìèõàéëîâè÷ Õðóñòàëåâ (1938–2023)

    Avtomat. i Telemekh., 2024, no. 1,  124–126
  98. Boris Teodorovich Polyak (04.05.1935 – 03.02.2023)

    Vestnik YuUrGU. Ser. Mat. Model. Progr., 16:1 (2023),  123
  99. Sergey Leonidovich Chernyshev (to Anniversary Since Birth)

    Vestnik YuUrGU. Ser. Mat. Model. Progr., 15:2 (2022),  125–127
  100. Ðóäàêîâ Êîíñòàíòèí Âëàäèìèðîâè÷ (21.06.1954 – 10.07.2021). Ïàìÿòè àêàäåìèêà èíôîðìàòèêè

    Vestnik YuUrGU. Ser. Mat. Model. Progr., 15:1 (2022),  128–130
  101. Vladimir Evgenievich Pavlovsky (22.05.1950–03.06.2020)

    Vestnik YuUrGU. Ser. Mat. Model. Progr., 13:3 (2020),  116–118
  102. Cybernetics 2.0

    Probl. Upr., 2016, no. 1,  73–81
  103. On the scientific and pedagogical activity of professor A. I. Kibzun

    Vestnik YuUrGU. Ser. Mat. Model. Progr., 9:3 (2016),  152–157
  104. XII All-Russian Conference on Control

    Avtomat. i Telemekh., 2014, no. 11,  160–166
  105. A. A. Ashimov, Yu. V. Borovskii, N. A. Iskakov, B. T. Sultanov, and As. A. Ashimov. Elementy teorii parametricheskogo regulirovaniya evolyutsii ekonomicheskoi sistemy strany (Elements of the Theory of Parametric Control of Evolution of National Economy). Moscow: Fizmatlit, 2009. 96 pp.

    Avtomat. i Telemekh., 2010, no. 1,  187–188
  106. Network models in control: an introduction from the editor-in-chief

    UBS, 30.1 (2010),  9–10
  107. 30 Years of the Seminar “Expert Estimates and Data Analysis”

    Avtomat. i Telemekh., 2003, no. 5,  199–201


© Steklov Math. Inst. of RAS, 2024