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The Essence of Reflexive Control and Diffusion of Information in the Context of Information Environment Security

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Intelligent Systems in Production Engineering and Maintenance (ISPEM 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 835))

Abstract

In this paper, a particular emphasis is put on discussing the theory of reflexive control as a model for forecasting the decision-making process and influencing this process. Universal access to the Internet and the growing role of social media in shaping opinions, and more broadly the perception of the world, requires work to develop methods for identifying and recognizing reflexive control in social media.

The main task that is necessary to solve in order to identify and recognize reflective control processes and to prevent them is to understand the spread of information. The paper also presented the essence of models for the spread of information in network systems, exemplified by contemporary social media.

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Author information

Authors and Affiliations

  1. Faculty of Cybernetics, Military University of Technology, 2 Urbanowicza St., 00-908, Warsaw, Poland

    Rafał Kasprzyk

Authors
  1. Rafał Kasprzyk
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Correspondence to Rafał Kasprzyk .

Editor information

Editors and Affiliations

  1. Faculty of Mechanical Engineering, Wrocław University of Science and Technology, Wrocław, Poland

    Anna Burduk

  2. Faculty of Mechanical Engineering, Wrocław University of Science and Technology, Wrocław, Poland

    Edward Chlebus

  3. Faculty of Mechanical Engineering, Wrocław University of Science and Technology, Wrocław, Poland

    Tomasz Nowakowski

  4. Faculty of Mechanical Engineering, Wrocław University of Science and Technology, Wrocław, Poland

    Agnieszka Tubis

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Kasprzyk, R. (2019). The Essence of Reflexive Control and Diffusion of Information in the Context of Information Environment Security. In: Burduk, A., Chlebus, E., Nowakowski, T., Tubis, A. (eds) Intelligent Systems in Production Engineering and Maintenance. ISPEM 2018. Advances in Intelligent Systems and Computing, vol 835. Springer, Cham. https://doi.org/10.1007/978-3-319-97490-3_68

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