The theory of information images: Modeling based on diffusion equations

Author:

Petukhov Alexandr Y.1ORCID,Polevaya Sofia A.1,Yakhno Vladimir G.1

Affiliation:

1. Lobachevsky Nizhny Novgorod State University, 23 Gagarin Avenue, 603950 Nizhniy Novgorod, Russia

Abstract

This work represents a formalized description of information and communicative interactions of individuals on the basis of theory of information images (II). 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 this paper allow us to compare different levels of the described processes depending on the chosen architecture of the model; the methods and approaches mentioned in the current work can be also used 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 II. 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 this research, the authors introduce an equation that describes the spatial and structural evolution of individual II. There is also an example of modeling on the basis of this theory taking into account the results of the experiment (bilingual Stroop test).

Funder

Russian Science Foundation

grant of President of the Russian Federation

Publisher

World Scientific Pub Co Pte Lt

Subject

Applied Mathematics,Modelling and Simulation

Reference19 articles.

1. A tutorial on computational cognitive neuroscience: Modeling the neurodynamics of cognition

2. D. S. Chernavskii, Synergetics and Information. Dynamic Information Theory (URSS, Moscow, 2009), 300 pp.

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