On the Concept and Strategy of Creating Cybernetic Systems with Artificial Intelligence

The stages of creating systems with artificial intelligence, functional requirements for them, principles of organizing the architecture of cybernetic systems with artificial intelligence, and approaches to the implementation of the components of such a system are considered, in particular, the use...

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Bibliographic Details
Published in:Cybernetics and systems analysis Vol. 59; no. 5; pp. 713 - 724
Main Author: Boyun, V. P.
Format: Journal Article
Language:English
Published: New York Springer US 01.09.2023
Springer
Springer Nature B.V
Subjects:
Algorithms
Artificial Intelligence
Brain research
Control
Cybernetics
Deep learning
Heuristic
Knowledge
Mathematics
Mathematics and Statistics
Neurophysiology
Neurosciences
Ontology
Principles
Processor Architectures
Scientists
Software Engineering/Programming and Operating Systems
Supercomputers
Systems analysis
Systems Theory
Trends
circular organization of neurons
hierarchical management
evolutionary approaches
dynamic information
heuristics
ability to learn and adapt
cybernetic system
measure of change
knowledge gains
artificial intelligence
ontologies
ISSN:1060-0396, 1573-8337
Online Access:Get full text
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Summary:The stages of creating systems with artificial intelligence, functional requirements for them, principles of organizing the architecture of cybernetic systems with artificial intelligence, and approaches to the implementation of the components of such a system are considered, in particular, the use of heuristics, evolutional approach, the methods of planning experiments, increments in knowledge, of ontologies for describing and excreting knowledge from texts, system analysis for structuring problems, etc. The efficiency of using principles of ring and linear organization of receptive fields of neurons, typical modes of functioning of the human visual analyzer, principles of hierarchical management in intellectual channels of information perception and processing in the brain and their interaction, and the ability to learn by experience and adaptation is shown.
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ISSN:1060-0396
1573-8337
DOI:10.1007/s10559-023-00607-w