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QUALITATIVE STUDY OF A COMPUTER MODEL IN THE CYBERNETIC FIELD

Authors :
FLORI Maria
Source :
Annals of the University of Oradea: Economic Science, Vol 29, Iss 2, Pp 276-283 (2020)
Publication Year :
2020
Publisher :
University of Oradea, 2020.

Abstract

The starting point of this study described in this paper is the desire to create a model that will be useful in various fields related to mathematical modeling and that will contain a new perspective of what we call and know about feedback. This feedback has appeared in cyber studies. The modeling of this computer system involves the transfer of information from the data of a problem written in a practical language to the language specific to the feedback contained in cellular automata and algebraic fractals. Both cellular automata and algebraic fractals are fundamental in the development of technical solutions used in the fields related to quantum mechanics. The bases of these researches are from the articles conceived by Prof. Dr. Colceag, in which he mentions information fields, structural fractals, but also about modeling and the models that emerge from this modeling. All this complex modeling structure will describe more complex objects with characteristics such as: feedback cycles, projective relationships in the projective space and specific transformations that describe how this model was obtained, these being common features for everything that means description and modeling the phenomena of physics, chemistry, biology, economy etc. At the beginning, such a model focuses on feedback cycles, and will also develop commutative diagrams based on automorphisms. After this first phase, the model is organized on progressive levels where its structure is divided into new and stable structures that self-determine, this leading to a fractalized modeling in which a feedback structure is inserted in the form of a loop.

Details

Language :
German, English, French, Italian
ISSN :
1222569X and 15825450
Volume :
29
Issue :
2
Database :
Directory of Open Access Journals
Journal :
Annals of the University of Oradea: Economic Science
Publication Type :
Academic Journal
Accession number :
edsdoj.233b2d66a7644005a02f3a530dccde4e
Document Type :
article