Cybernetics and transport processes automation. Tutorial

Cybernetics and transport processes automation. Tutorial
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Описание книги

Abramov Dmitry, Moscow Polytechnic UniversityKorpukov Alexander, Pirogov Russian National Research Medical UniversityShmal Vadim, Federal state autonomous educational institution of higher education «Russian university of transport»Minakov Pavel, Federal state autonomous educational institution of higher education «Russian university of transport»

Оглавление

Vadim Shmal. Cybernetics and transport processes automation. Tutorial

About cybernetics

Process simulation

Biology

Control theory

Complexity theory

Neuromorphic engineering

Decision support system

Cybernetics in Biology

Game theory

Welfare Economics Mathematics

Modeling paradigm

Semantism versus rationalism

Use of symbols

Cybernetics in Mathematics

Second order cybernetics

Social cybernetics

Living systems

Cybernetics in Engineering

Literature

Отрывок из книги

Cybernetics is the science of communication and control. He also explores the self-perception of people and social groups. This concerns how human activities and communication affect collective behavior. The social context of cybernetics is vast and growing. Cybernetics is a dynamic and diverse field of research. New trends and scientific discoveries will influence the field of cybernetics in the coming years.

Cybernetics is a portfolio word that combines cybernetic with biology. American mathematician John von Neumann published Automata, an article on cybernetics, in which he outlined the fundamental paradigm of the theory: there are situations that are controlled by a central computer. Von Neumann applied the term «automaton» to any device or system that «can be analyzed like automata».

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The principle of adaptive learning (or learning by doing) is a good example of imitation in action. It is the process by which any machine, any computer or intelligent agent learns how it should behave based on its experience. Learning by imitation is similar to this principle, but it is based on the fact that a person (or group of people) imitates another group or person in order to learn something new. The emulated group or person has their own individual rules of operation (rules of imitation) that determine what types of reactions or behaviors are learned.

Adaptive emulators (learning by emulation) play a crucial role in the development of intelligence. This is the most important mechanism for learning and developing knowledge. According to Bostrom, they will also play a crucial role in the evolution of intelligent systems.

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