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Network Active Systems: Models of Planning and Incentives

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Abstract

The models of network active systems are introduced and studied. A network active system consists of a finite set of agents interacting within a given network; each agent is characterized by the technology of his activity (a dependence of the output on his own action and also the outputs of other agents). The problems of incentives and planning are stated and solved. Applications of network active systems for the modeling and optimization of extended enterprises are discussed.

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References

  1. Belov, M.V. and Novikov, D.A., Metodologiya kompleksnoi deyatel’nosti (Methodology of Complex Activity), Moscow: Lenand, 2018.

    Google Scholar 

  2. Jackson, M.O., Social and Economic Networks, Princeton: Princeton Univ. Press, 2010.

    Book  Google Scholar 

  3. The Oxford Handbook of the Economics of Networks, Oxford: Oxford Univ. Press, 2016.

  4. Burkov, V.N., Gorgidze, I.A., and Lovetskii, S.E., Prikladnye zadachi teorii grafov (Applied Problems of Graph Theory), Tbilisi: Vychisl. Tsentr Akad. Nauk GSSR, 1974.

    Google Scholar 

  5. Golenko-Ginzburg, D.I., Stokhasticheskie setevye modeli planirovaniya i upravleniya razrahotkami (Stochastic Network Models of R&D Planning and Management), Voronezh: Nauchnaya Kniga, 2010.

    Google Scholar 

  6. Matematicheskie osnovy upravleniya proektami (Mathematical Foundations of Project Management), Burkov, V.N., Ed., Moscow: Vysshaya Shkola, 2005.

  7. Mechanism Design and Management: Mathematical Methods for Smart Organizations, Novikov, D.A., Ed., New York: Nova Science, 2013.

  8. Belov, M.V., Modern Organization and Management of Production Programs: Current State and Development Trends, Upravlen. Proekt. Program., 2015, no. 2, pp. 86–99.

    Google Scholar 

  9. Novikov, D.A., Theory of Control in Organizations, Hauppauge: Nova Science, 2013.

    Google Scholar 

  10. Novikov, D.A., Setevye struktury i organizatsionnye sistemy (Network Structures and Organizational Systems), Moscow: Inst. Probl. Upravlen., 2003.

    Google Scholar 

  11. Novikov, D.A. and Tsvetkov, A.V., Mekhanizmy stimulirovaniya v mnogoelementnykh organizatsionnykh sistemakh (Incentive Mechanisms in Multiagent Organizational Systems), Moscow: Apostrof, 2000.

    Google Scholar 

  12. Myerson, R.B., Game Theory: Analysis of Conflict, London: Harvard Univ. Press, 1997.

    MATH  Google Scholar 

  13. Kupferman, O. and Tamir, T., Hierarchical Network Formation Games, in Tools and Algorithms for the Construction and Analysis of Systems, TACAS 2017, Legay, A. and Margaria, T., Eds., Lecture Notes in Computer Science, vol. 10205, Berlin: Springer, 2017, pp. 229–246.

    Article  Google Scholar 

  14. Germeier, Yu.B., Non-Antagonistic Games, Dordrecht: D. Reidel, 1986.

    Google Scholar 

  15. Burkov, V.N., Korgin, N.A., and Novikov, D.A., Integration and Decomposition Problems of Control Mechanisms for Organizational and Technical Systems, Probl. Upravlen., 2016, no. 5, pp. 14–23.

    Google Scholar 

  16. Voronin, A.A. and Kharitonov, M.A., Adaptation Model for Operating Core of Organization, Vestn. Volg. Gos. Univ., Ser. 1, Mat. Fiz., 2016, no. 4, pp. 44–65.

    Article  Google Scholar 

  17. Voronin, A.A. and Kharitonov, M.A., Constrained Optimization Model of Organization’s Operating Core, Upravlen. Bol’sh. Sist., 2012, no. 39, pp. 165–183.

    Google Scholar 

  18. Goubko, M.V., Matematicheskie modeli optimizatsii ierarkhicheskikh struktur (Mathematical Methods of Optimization of Hierarchical Structures), Moscow: LENAND, 2006.

    Google Scholar 

  19. Mishin, S.P., Optimal’nye ierarkhii upravleniya v ekonomicheskikh sistemakh (Optimal Control Hierarchies in Economic Systems), Moscow: PMSOFT, 2004.

    Google Scholar 

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Acknowledgments

This work was supported in part by the Russian Science Foundation, project no. 16-19-10609.

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Correspondence to M. V. Belov or D. A. Novikov.

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Russian Text © The Author(s), 2018, published in Problemy Upravleniya, 2018, No. 1, pp. 7–57.

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Belov, M.V., Novikov, D.A. Network Active Systems: Models of Planning and Incentives. Autom Remote Control 80, 2229–2244 (2019). https://doi.org/10.1134/S0005117919120117

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