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International Symposium on Neural Networks

ISNN 2016: Advances in Neural Networks – ISNN 2016 pp 56–65Cite as

The Theory of Information Images: Modeling of Communicative Interactions of Individuals

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9719))

Abstract

The current work represents a formalized description of information and communicative interactions of individuals on the basis of theory of information images. It also demonstrates how important it is to choose the models type adequate to the systems under research.

It also introduces an explication of the possibility to create the model of information and communication interactions that can illustrate transmission of information between two and more individuals. Methods and approaches suggested in the current article allow us to compare different levels of the described processes depending on the chosen architecture of the model; they are also able to are able to simulate the processes of distortion and generation of information images while information and communication social interaction.

Expansion and addition of information images theory in terms of transmission of information among individuals enables us to speak about the space of individual information images. The existence of such a space and creation of correct formalized model help us to explain a number of characteristic phenomena of human thinking processes. As a result of the current research, the authors introduce an equation that describes the spatial and structural evolution of individual information images.

There is also an example of modeling on the basis of the current theory taking into account the results of the experiment (bilingual Stroop test).

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Author information

Authors and Affiliations

  1. Lobachevsky Nizhny Novgorod State University, Nizhny Novgorod, Russia

    Alexandr Y. Petukhov & Sofia A. Polevaya

Authors
  1. Alexandr Y. Petukhov
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  2. Sofia A. Polevaya
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Corresponding author

Correspondence to Alexandr Y. Petukhov .

Editor information

Editors and Affiliations

  1. The Chinese Academy of Sciences, Beijing, China

    Long Cheng

  2. Huazhong University of Science and Tech., Wuhan, Jiangsu, China

    Qingshan Liu

  3. Russian Academy of Sciences, SPIIRAS, St. Petersburg, Russia

    Andrey Ronzhin

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© 2016 Springer International Publishing Switzerland

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Petukhov, A.Y., Polevaya, S.A. (2016). The Theory of Information Images: Modeling of Communicative Interactions of Individuals. In: Cheng, L., Liu, Q., Ronzhin, A. (eds) Advances in Neural Networks – ISNN 2016. ISNN 2016. Lecture Notes in Computer Science(), vol 9719. Springer, Cham. https://doi.org/10.1007/978-3-319-40663-3_7

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  • DOI: https://doi.org/10.1007/978-3-319-40663-3_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-40662-6

  • Online ISBN: 978-3-319-40663-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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