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The Remote Process Support for Collaborative Work

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Smart Education and e-Learning 2019

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 144))

Abstract

The modern time is characterized not only by the rapid development of fundamental science and its mathematization but also by the development of its applied branches, the emerging trend of transition to a digital society. A special place is occupied by innovative technologies in applied industries. Modern processes and trends in the development of human society require fast and effective collaboration of managers and the use of IT management for decision-making. The article proposes a model of multi-agent information system, built on the basis of the simplest expert system. The purpose of the model is to provide remote collaboration with specified performance indicators. This model is designed to solve problems in the field of financial and budgetary process and uses elements of remote control of joint work. The expert system is presented as an organizational mechanism for automated solution of the problem of remote control of joint work. As usual, a knowledge base is a set of facts and inference rules. The article defines a number of indicators, including those affecting the adaptation of personnel to the requirements of the environment in remote control of joint work. The authors used a multi-agent model and a model of knowledge representation in the expert system. The synthesis of these models made it possible to develop an integrated model of remote control of joint work, ensuring the achievement of the planned performance indicators.

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References

  1. Uskov, V.L., Bakken, J.P., Howlett, R.J., Jain, L.C. (Eds.): Smart Universities: Concepts, Systems, and Technologies, p. 421. Springer, Cham (2018). ISBN 978-3-319-59453-8. https://doi.org/10.1007/978-3-319-59454-5

    Google Scholar 

  2. Uskov, V., Bakken, J., Pandey, A.: The ontology of next generation smart classrooms. In: Uskov et al. (eds.) Smart Education and Smart e-Learning, 510 p., pp. 3–14. Springer, Cham (2015)

    Chapter  Google Scholar 

  3. Serdyukova, N.A., Serdyukov, V.I., Uskov, A.V., Slepov, V.A, Heinemann, C.: Algebraic Formalization of Sustainability Ranking Systems for Evaluating University Activities: Theory and Practice, SEEL2017, Smart Education and Smart e-Learning, Smart Innovation, Systems and Technologies, vol. 75, pp. 459–474. Springer, Cham (2017)

    Google Scholar 

  4. Serdyukova, N.A., Serdyukov, V.I., Slepov, V.A, Uskov V.L., Ilyin V.V.: A Formal Algebraic Approach to Modelling Smart University as an Efficient and Innovative System, SEEL2016, Smart Education and Smart e-Learning, Smart Innovation, Systems and Technologies, vol. 59, pp. 83–96. Springer, Cham (2016)

    Google Scholar 

  5. Glukhova L.V., Syrotyuk S.D.: Smart organizations and mathematical modeling of opportunities for their transition to a higher development level.// In: Bulletin of the Volzhsky University named after V.N. Tatischev, vol. 2, №. 3, pp. 122–131 (2018)

    Google Scholar 

  6. Glukhova L.V., Mitrofanova Y.S. Digitalization of economy and the particularities of its application in an integrated facility’s activity.// The Bulletin of the Volga Region State University of Service, № 4 (2017)

    Google Scholar 

  7. Shikhnabieva, T., Beshenkov, S.: Intelligent system of training and control of knowledge, based on adaptive semantic models.// In: Smart Education and e-Learning 2016, pp. 595–603. Springer International Publishing (2016)

    Google Scholar 

  8. Sherstobitova, A.A.: Modeling of the financial mechanism of management of development of enterprises/Glukhova, L.V., Sherstobitova, A.A. Science vector of Togliatti State University. Series: Economics and Management, № 1 (20), pp. 23–25 (2015)

    Google Scholar 

  9. Baker, A.: A survey of factory control algorithms which can be implemented in a multi-agent hierarchy. J. Manuf. Syst. (1999). submitted for publication

    Google Scholar 

  10. Bell, D.G.: Knowledge markets and communities: two approaches for supporting product development teams. Invited talk at the Fordham Graduate School of Business CEUG Consortium [Текст]/D.G. Bell; 2001 February 21; New York, NY (2001)

    Google Scholar 

  11. Serdyukova, N.: The new scheme of a formalization of an expert system in teaching/Serdyukova, N., Serdyukov, V.// ICEE/ICIT 2014 Proceedings, paper 032, Riga

    Google Scholar 

  12. Glukhova, L.V., Serdyukova, N.A., Serdyukov, V.I.: Algebraic approach to the systemic representation of knowledge in intellectual automated system of training and control. Science Vector of Togliatti State University, №. 3–2 (33-2). pp. 328–335 (2015)

    Google Scholar 

  13. Glukhova, L.V.: Economy of knowledge: models, methods, steering. The monography/Gluhova, Moscow: Togliatti branch of the Moscow Institute of Commerce and Law -84 with (2008)

    Google Scholar 

  14. Serdukova, N.: The finance regulation of high technology sector in Russian economy and its effectiveness/Buravlev, A.I., Serdukova, N.A., Serdukov, V.V.// Sci. Res. Financ. J. (2), 113–118 (2010)

    Google Scholar 

  15. Green, S., Hurst, L., Brenda, N., Somers, F., Evans, R.: Software agents: a review. Intelligent Agents Group Report (1997). http://www.cs.tcd.ie/research-groups/aig.iag/pubreview.zip

  16. Nwana, S.N.: Software agents: an overview. Knowl. Eng. Rev. 11(3), 1–40 (1996)

    Article  Google Scholar 

  17. Glukhova L.V., Serdyukova N.A.: Multi-agent information riskmanagement system for budjeting innovations. Information systems and technologies: management and security. Published in Volga Region State University of Service (2013)

    Google Scholar 

  18. Glukhova, L.V.: Automated system of managing the quality of the information process functioning. Patent No71789 Russian Federation MPK G06F17/30 (2006.01).Glukhova, L.V. priority 26 Dec 2006

    Google Scholar 

  19. Glukhova, L.V.: Automated system of managing the quality of the information process functioning. Patent No. 71789 Russian Federation MPK G06F17/30 (2006.01). Glukhova, L.V. priority 26 Nov 2007

    Google Scholar 

  20. Glukhova, L.V., Serdyukova, N.A.: Risk management of implementation of a results-based method of budgeting. Bulletin of the Volga University. V.N. Tatishcheva, №. 2 (28), pp. 120–127 (2013)

    Google Scholar 

  21. Sherstobitova, A.A.: State financial management: risk-management in the sphere of the financial market. Glukhova L.V., Sherstobitova A.A. University School of Science: a development paradigm.1 (8). pp. 7–13 (2013)

    Google Scholar 

  22. Glukhova, L.V.: Theoretical bases of structural analysis and synthesis: monograph/Glukhova, L.V. Institute of Commerce and Law. Moscow, 122 p (2007)

    Google Scholar 

  23. Serdukova, N.A. The financial risks theorem// The Sci. Res. Financ. J. (2). C, 173–179 (2009)

    Google Scholar 

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Correspondence to Anna A. Sherstobitova .

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Sherstobitova, A.A., Glukhova, L.V., Sergeeva, I.G., Tihanova, N.Y. (2019). The Remote Process Support for Collaborative Work. In: Uskov, V., Howlett, R., Jain, L. (eds) Smart Education and e-Learning 2019. Smart Innovation, Systems and Technologies, vol 144. Springer, Singapore. https://doi.org/10.1007/978-981-13-8260-4_55

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