Modeling domain knowledge based on the central laws of integrative brain activity

Authors

DOI:

https://doi.org/10.15587/2312-8372.2016.66520

Keywords:

subject area, activity, neuron, neural network, functional system

Abstract

It is shown that the four dimensions of knowledge for central integrative brain activity patterns provide a synthesis of objectives and deciding on its achievements on the basis of the dialectical relationship between pairs of process factors and resource factors of implementation.

The proposed model of the future outcome is both cognitive model of knowledge about the subject area.

It is shown that the model of balanced scorecard is quite theoretical justification for its structure on the basis of binary relations in the form of dialectical unity categories of «general» and «identity» and cause-effect relationships and is a practical example of a model of knowledge about the subject area based on central laws integrative brain activity.

It is shown that the architecture of knowledge in methodology PEST-analysis is also based on the principle of binary relations in the form of dialectical unity categories of «general» and «identity» and the causal relationship between categories and is a practical example of a model of knowledge about the subject area based on central laws of integrative brain activity.

Examples develop models of architectural knowledge about the company demonstrate the practical application of the principle of dialectical relationship categories in the form of «general» – «single» with no awareness of the availability of this type of relationship and their role in the investigated models.

Author Biography

Сергій Ілліч Доценко, Kharkiv Petro Vasylenko National Technical University of Agriculture, 44 Artema street, 61002, Kharkiv

Candidate of Technical Sciences, Associate Professor

Department of electric power and energy management

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Published

2016-03-29

How to Cite

Доценко, С. І. (2016). Modeling domain knowledge based on the central laws of integrative brain activity. Technology Audit and Production Reserves, 2(2(28), 33–41. https://doi.org/10.15587/2312-8372.2016.66520

Issue

Vol. 2 No. 2(28) (2016): Information technologies. Mathematical modeling

Section

Information Technologies: Original Research

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Copyright (c) 2016 Сергій Ілліч Доценко

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