By D.A Novikov
This publication is a concise navigator around the background of cybernetics, its state of the art and customers. The evolution of cybernetics (from N. Wiener to the current day) and the explanations of its ups and downs are provided. The correlation of cybernetics with the philosophy and method of regulate, in addition to with process thought and platforms research is obviously verified.
The publication provides a close research targeting the trendy tendencies of study in cybernetics. a brand new improvement degree of cybernetics (the so-called cybernetics 2.0) is mentioned as a technological know-how on basic regularities of structures association and regulate. the writer substantiates the topicality of elaborating a brand new department of cybernetics, i.e. association concept which experiences a firm as a estate, approach and approach.
The ebook is meant for theoreticians and practitioners, in addition to for college kids, postgraduates and doctoral applicants. within the first position, the objective viewers comprises tutors and academics getting ready classes on cybernetics, regulate concept and structures science.
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Additional resources for Cybernetics: From Past to Future
1 are the major ones. Presently, concrete control problems are no more the subject of philosophical analysis. Philosophy (as a form of social consciousness, the theory of general principles of entity and cognition, human attitude to the reality, as the science of universe laws of natural development) studies GENERAL problems and regularities separated out by experts in certain sciences. V. Diev believed that control philosophy is “a system of generalizing philosophical judgments about the subject and methods of control, the place of control PHILOSOPHY Control philosophy Epistemological, logical and other foundations of control science Control problems as the subject of research in philosophy Ontological, logical, ethical and other foundations of managerial practice Cybernetics Management philosophy Control science Managerial practice SCIENCE Fig.
A control system must be adequate to controlled processes in the sense of their rate of change). Principle 15 (principle of predictive reflection). A complex adaptive system predicts feasible changes in essential external parameters. Consequently, when generating control actions, one should predict and anticipate such changes. Principle 16 (the principle of adaptivity). The principle of predictive reflection underlines the necessity of predicting the states of a controlled system and corresponding actions of a Principal.
Principles no. , principles no. 4, 6, 10, 11, 14, 16, and 17) and intuitive approaches (principles no. 3, 7, 9, 12, and 13). Natural-scientiﬁc approaches (“laws”) reflect the general regularities, constraints and capabilities of biological systems imposed by natural laws. As a rule, empirical principles are formulated via analysis of experimental data, the results of experiments and observations, thereby having a more local character than natural-scientiﬁc approaches. And ﬁnally, intuitive laws and principles (in idea, not contradicting natural-scientiﬁc ones and being consistent with empirical ones) appear least formal and universal, as proceeding from intuitive understanding and common sense.