Cybernetics is the interdisciplinary study of the structure Structure is a fundamental if sometimes intangible notion referring to the recognition, observation, nature, and stability of patterns and relationships of entities. From a child's verbal description of a snowflake, to the detailed scientific analysis of the properties of magnetic fields, the concept of structure is now often an essential of regulatory systems. Cybernetics is closely related to control theory Control theory is an interdisciplinary branch of engineering and mathematics, that deals with the behavior of dynamical systems. The desired output of a system is called the reference. When one or more output variables of a system need to follow a certain reference over time, a controller manipulates the inputs to a system to obtain the desired and systems theory Systems theory is a transdisciplinary approach, which abstracts and considers a system as a set of independent and interacting parts. The main goal is to study general principles of system functioning to be applied for the all types of systems in all fields of research. As a technical and general academic area of study it predominantly refers to. Both in its origins and in its evolution in the second-half of the 20th century, cybernetics is equally applicable to physical and social (that is, language-based) systems.

Contents

Overview

Example of cybernetic thinking. On the one hand a company is approached as a system System is a set of interacting or interdependent entities forming an integrated whole in an environment. On the other hand cybernetic factory Management cybernetics is the field of cybernetics concerned with management and organizations. The notion of cybernetics and management was first introduced by Stafford Beer in the late 1950s can be modeled In the most general sense, a model is anything used in any way to represent anything else. Some models are physical objects, for instance, a toy model which may be assembled, and may even be made to work like the object it represents. However a conceptual model, may only be drawn on paper, described in words, or imagined in the mind. They are used as a control system There are two common classes of control systems, with many variations and combinations: logic or sequential controls, and feedback or linear controls. There is also fuzzy logic, which attempts to combine some of the design simplicity of logic with the utility of linear control. Some devices or systems are inherently not controllable.
Part of a series on Science Science is a systematic enterprise of gathering knowledge about nature and organizing and condensing that knowledge into testable laws and theories. As knowledge has increased, some methods have proved more reliable than others, and today the scientific method is the standard for science. It includes the use of careful observation, experimentation,
Natural sciences In science, the term natural science refers to a naturalistic approach to the study of the universe, which is understood as obeying rules or laws of natural origin

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Cybernetics is pre–eminent when the system under scrutiny is involved in a closed signal loop, where action by the system in an environment causes some change in the environment and that change is manifest to the system via information, or feedback, that causes the system to adapt to new conditions: the system changes its behavior. This "circular causal" relationship is necessary and sufficient for a cybernetic perspective.[citation needed] System Dynamics, a related field, originated with applications of electrical engineering control theory to other kinds of simulation models (especially business systems) by Jay Forrester at MIT in the 1950s. Convenient GUI system dynamics software developed into user friendly versions by the 1990s and have been applied to diverse systems. SD models solve the problem of simultaneity (mutual causation) by updating all variables in small time increments with positive and negative feedbacks and time delays structuring the interactions and control. The best known SD model is probably the 1972 The Limits to Growth. This model forecast that exponential growth would lead to economic collapse during the 21st century under a wide variety of growth scenarios.

Contemporary cybernetics began as an interdisciplinary study connecting the fields of control systems, electrical network theory, mechanical engineering, logic modeling, evolutionary biology, neuroscience, anthropology, and psychology in the 1940s, often attributed to the Macy Conferences.

Other fields of study which have influenced or been influenced by cybernetics include game theory, system theory (a mathematical counterpart to cybernetics), sociology, psychology (especially neuropsychology, behavioral psychology, cognitive psychology), philosophy, and architecture and organizational theory.[1]

In Soviet practice, the term cybernetics was broadly applied to all of computer science and engineering.

Definition

The term cybernetics stems from the Greek κυβερνήτης (kybernētēs, steersman, governor, pilot, or rudder — the same root as government). Cybernetics is a broad field of study, but the essential goal of cybernetics is to understand and define the functions and processes of systems that have goals and that participate in circular, causal chains that move from action to sensing to comparison with desired goal, and again to action. Studies in cybernetics provide a means for examining the design and function of any system, including social systems such as business management and organizational learning, including for the purpose of making them more efficient and effective.

Cybernetics was defined by Norbert Wiener, in his book of that title, as the study of control and communication in the animal and the machine. Stafford Beer called it the science of effective organization and Gordon Pask extended it to include information flows "in all media" from stars to brains. It includes the study of feedback, black boxes and derived concepts such as communication and control in living organisms, machines and organizations including self-organization. Its focus is how anything (digital, mechanical or biological) processes information, reacts to information, and changes or can be changed to better accomplish the first two tasks [2]. A more philosophical definition, suggested in 1956 by Louis Couffignal, one of the pioneers of cybernetics, characterizes cybernetics as "the art of ensuring the efficacy of action" [3]. The most recent definition has been proposed by Louis Kauffman, President of the American Society for Cybernetics, "Cybernetics is the study of systems and processes that interact with themselves and produce themselves from themselves" [4].

Concepts studied by cyberneticists (or, as some prefer, cyberneticians) include, but are not limited to: learning, cognition, adaption, social control, emergence, communication, efficiency, efficacy and interconnectivity. These concepts are studied by other subjects such as engineering and biology, but in cybernetics these are removed from the context of the individual organism or device.

Other fields of study which have influenced or been influenced by cybernetics include game theory; system theory (a mathematical counterpart to cybernetics); psychology, especially neuropsychology, behavioral psychology and cognitive psychology; philosophy; anthropology; and even architecture.[citation needed]

History

The roots of cybernetic theory

Ştefan Odobleja (1902–1978) was a Romanian scientist, one of the precursors of cybernetics. His major work, Psychologie consonantiste, first published in 1938 and 1939, in Paris, had established many of the major themes of cybernetics regarding cybernetics and systems thinking ten years before the work of Norbert Wiener was published in 1948. The word cybernetics was first used in the context of "the study of self-governance" by Plato in The Laws to signify the governance of people. The word 'cybernétique' was also used in 1834 by the physicist André-Marie Ampère (1775–1836) to denote the sciences of government in his classification system of human knowledge.

James Watt

The first artificial automatic regulatory system, a water clock, was invented by the mechanician Ktesibios. In his water clocks, water flowed from a source such as a holding tank into a reservoir, then from the reservoir to the mechanisms of the clock. Ktesibios's device used a cone-shaped float to monitor the level of the water in its reservoir and adjust the rate of flow of the water accordingly to maintain a constant level of water in the reservoir, so that it neither overflowed nor was allowed to run dry. This was the first artificial truly automatic self-regulatory device that required no outside intervention between the feedback and the controls of the mechanism. Although they did not refer to this concept by the name of Cybernetics (they considered it a field of engineering), Ktesibios and others such as Heron and Su Song are considered to be some of the first to study cybernetic principles.

The study of teleological mechanisms (from the Greek τέλος or telos for end, goal, or purpose) in machines with corrective feedback dates from as far back as the late 1700s when James Watt's steam engine was equipped with a governor, a centrifugal feedback valve for controlling the speed of the engine. Alfred Russel Wallace identified this as the principle of evolution in his famous 1858 paper. In 1868 James Clerk Maxwell published a theoretical article on governors, one of the first to discuss and refine the principles of self-regulating devices. Jakob von Uexküll applied the feedback mechanism via his model of functional cycle (Funktionskreis) in order to explain animal behaviour and the origins of meaning in general.

The early 20th century

Contemporary cybernetics began as an interdisciplinary study connecting the fields of control systems, electrical network theory, mechanical engineering, logic modeling, evolutionary biology and neuroscience in the 1940s. Electronic control systems originated with the 1927 work of Bell Telephone Laboratories engineer Harold S. Black on using negative feedback to control amplifiers. The ideas are also related to the biological work of Ludwig von Bertalanffy in General Systems Theory.

Early applications of negative feedback in electronic circuits included the control of gun mounts and radar antenna during WWII. Jay Forrester, a graduate student at the Servomechanisms Laboratory at MIT during WWII working with Gordon S. Brown to develop electronic control systems for the U.S. Navy, later applied these ideas to social organizations such as corporations and cities as an original organizer of the MIT School of Industrial Management at the MIT Sloan School of Management. Forrester is known as the founder of System Dynamics.

W. Edwards Deming, the Total Quality Management guru for whom Japan named its top post-WWII industrial prize, was an intern at Bell Telephone Labs in 1927 and may have been influenced by network theory. Deming made "Understanding Systems" one of the four pillars of what he described as "Profound Knowledge" in his book "The New Economics."

Numerous papers spearheaded the coalescing of the field. In 1935 Russian physiologist P.K. Anokhin published a book in which the concept of feedback ("back afferentation") was studied. The study and mathematical modelling of regulatory processes became a continuing research effort and two key articles were published in 1943. These papers were "Behavior, Purpose and Teleology" by Arturo Rosenblueth, Norbert Wiener, and Julian Bigelow; and the paper "A Logical Calculus of the Ideas Immanent in Nervous Activity" by Warren McCulloch and Walter Pitts.

Cybernetics as a discipline was firmly established by Wiener, McCulloch and others, such as W. Ross Ashby and W. Grey Walter.

Walter was one of the first to build autonomous robots as an aid to the study of animal behaviour. Together with the US and UK, an important geographical locus of early cybernetics was France.

In the spring of 1947, Wiener was invited to a congress on harmonic analysis, held in Nancy, France. The event was organized by the Bourbaki, a French scientific society, and mathematician Szolem Mandelbrojt (1899–1983), uncle of the world-famous mathematician Benoît Mandelbrot.

John von Neumann

During this stay in France, Wiener received the offer to write a manuscript on the unifying character of this part of applied mathematics, which is found in the study of Brownian motion and in telecommunication engineering. The following summer, back in the United States, Wiener decided to introduce the neologism cybernetics into his scientific theory. The name cybernetics was coined to denote the study of "teleological mechanisms" and was popularized through his book Cybernetics, or Control and Communication in the Animal and Machine (Hermann & Cie, Paris, 1948). In the UK this became the focus for the Ratio Club.

In the early 1940s John von Neumann, although better known for his work in mathematics and computer science, did contribute a unique and unusual addition to the world of cybernetics: Von Neumann cellular automata, and their logical follow up the Von Neumann Universal Constructor. The result of these deceptively simple thought-experiments was the concept of self replication which cybernetics adopted as a core concept. The concept that the same properties of genetic reproduction applied to social memes, living cells, and even computer viruses is further proof of the somewhat surprising universality of cybernetic study.

Wiener popularized the social implications of cybernetics, drawing analogies between automatic systems (such as a regulated steam engine) and human institutions in his best-selling The Human Use of Human Beings : Cybernetics and Society (Houghton-Mifflin, 1950).

While not the only instance of a research organization focused on cybernetics, the Biological Computer Lab at the University of Illinois, Urbana/Champaign, under the direction of Heinz von Foerster, was a major center of cybernetic research for almost 20 years, beginning in 1958.

The fall and rebirth of cybernetics

For a time during the past 30 years, the field of cybernetics followed a boom-bust cycle of becoming more and more dominated by the subfields of artificial intelligence and machine-biological interfaces (i.e. cyborgs) and when this research fell out of favor, the field as a whole fell from grace.

Stuart A. Umpleby

In the 1970s new cyberneticians emerged in multiple fields, but especially in biology. The ideas of Maturana, Varela and Atlan, according to Dupuy (1986) "realized that the cybernetic metaphors of the program upon which molecular biology had been based rendered a conception of the autonomy of the living being impossible. Consequently, these thinkers were led to invent a new cybernetics, one more suited to the organizations which mankind discovers in nature - organizations he has not himself invented"[5]. However, during the 1980s the question of whether the features of this new cybernetics could be applied to social forms of organization remained open to debate.[5]

In political science, Project Cybersyn attempted to introduce a cybernetically controlled economy during the early 1970s. In the 1980s, according to Harries-Jones (1988) "unlike its predecessor, the new cybernetics concerns itself with the interaction of autonomous political actors and subgroups, and the practical and reflexive consciousness of the subjects who produce and reproduce the structure of a political community. A dominant consideration is that of recursiveness, or self-reference of political action both with regards to the expression of political consciousness and with the ways in which systems build upon themselves".[6]

One characteristic of the emerging new cybernetics considered in that time by Geyer and van der Zouwen, according to Bailey (1994), was "that it views information as constructed and reconstructed by an individual interacting with the environment. This provides an epistemological foundation of science, by viewing it as observer-dependent. Another characteristic of the new cybernetics is its contribution towards bridging the "micro-macro gap". That is, it links the individual with the society"[7] Another characteristic noted was the "transition from classical cybernetics to the new cybernetics [that] involves a transition from classical problems to new problems. These shifts in thinking involve, among others, (a) a change from emphasis on the system being steered to the system doing the steering, and the factor which guides the steering decisions.; and (b) new emphasis on communication between several systems which are trying to steer each other"[7]. The work of Gregory Bateson was also strongly influenced by cybernetics.

Recent endeavors into the true focus of cybernetics, systems of control and emergent behavior, by such related fields as game theory (the analysis of group interaction), systems of feedback in evolution, and metamaterials (the study of materials with properties beyond the Newtonian properties of their constituent atoms), have led to a revived interest in this increasingly relevant field.[2]

Subdivisions of the field

Cybernetics is an earlier but still-used generic term for many types of subject matter. These subjects also extend into many others areas of science, but are united in their study of control of systems.

Pure cybernetics

Pure cybernetics studies systems of control as a concept, attempting to discover the basic principles underlying such things as

ASIMO uses sensors and intelligent algorithms to avoid obstacles and navigate stairs.

In biology

Cybernetics in biology is the study of cybernetic systems present in biological organisms, primarily focusing on how animals adapt to their environment, and how information in the form of genes is passed from generation to generation[8]. There is also a secondary focus on combining artificial systems with biological systems.

Thermal image of a cold-blooded tarantula on a warm-blooded human hand

In computer science

Computer science directly applies the concepts of cybernetics to the control of devices and the analysis of information.

In engineering

Cybernetics in engineering is used to analyze cascading failures and System Accidents, in which the small errors and imperfections in a system can generate disasters. Other topics studied include:

An artificial heart, a product of biomedical engineering.

In management

In mathematics

Mathematical Cybernetics focuses on the factors of information, interaction of parts in systems, and the structure of systems.

In psychology

In sociology

By examining group behavior through the lens of cybernetics, sociology seeks the reasons for such spontaneous events as smart mobs and riots, as well as how communities develop rules, such as etiquette, by consensus without formal discussion[citation needed]. Affect Control Theory explains role behavior, emotions, and labeling theory in terms of homeostatic maintenance of sentiments associated with cultural categories. The most comprehensive attempt ever made in the social sciences to increase cybernetics in a generalized theory of society was made by Talcott Parsons. These and other cybernetic models in sociology are reviewed in a book edited by McClelland and Fararo[9].

Related fields

Complexity science

Complexity science attempts to understand the nature of complex systems.

See also

Systems science portal

References

  1. ^ Tange, Kenzo (1966) "Function, Structure and Symbol".
  2. ^ a b Kelly, Kevin (1994). Out of control: The new biology of machines, social systems and the economic world. Boston: Addison-Wesley. ISBN 0-201-48340-8. OCLC 32208523 40868076 56082721 57396750 221860672 32208523 40868076 56082721 57396750.
  3. ^ Couffignal, Louis, "Essai d’une définition générale de la cybernétique", The First International Congress on Cybernetics, Namur, Belgium, June 26–29, 1956, Gauthier-Villars, Paris, 1958, pp. 46-54
  4. ^ CYBCON discusstion group 20 September 2007 18:15
  5. ^ a b Jean-Pierre Dupuy, "The autonomy of social reality: on the contribution of systems theory to the theory of society" in: Elias L. Khalil & Kenneth E. Boulding eds., Evolution, Order and Complexity, 1986.
  6. ^ Peter Harries-Jones (1988), "The Self-Organizing Polity: An Epistemological Analysis of Political Life by Laurent Dobuzinskis" in: Canadian Journal of Political Science (Revue canadienne de science politique), Vol. 21, No. 2 (Jun., 1988), pp. 431-433.
  7. ^ a b Kenneth D. Bailey (1994), Sociology and the New Systems Theory: Toward a Theoretical Synthesis, p.163.
  8. ^ Note: this does not refer to the concept of Racial Memory but to the concept of cumulative adaptation to a particular niche, such as the case of the pepper moth having genes for both light and dark environments.
  9. ^ McClelland, Kent A., and Thomas J. Fararo (Eds.). 2006. Purpose, Meaning, and Action: Control Systems Theories in Sociology. New York: Palgrave Macmillan.

Further reading

External links

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General
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Subfields of and scientists involved in cybernetics
Subfields Polycontexturality · Second-order cybernetics · Catastrophe theory · Connectionism · Control theory · Decision theory · Information theory · Semiotics · Synergetics · Biological cybernetics · Biosemiotics · Biomedical cybernetics · Biorobotics · Computational neuroscience · Homeostasis · Management cybernetics · Medical cybernetics · New Cybernetics · Neurocybernetics · Sociocybernetics · Emergence · Artificial intelligence
Cyberneticists Igor Aleksander · William Ross Ashby · Anthony Stafford Beer · Claude Bernard · Ludwig von Bertalanffy · Valentin Braitenberg · Gordon S. Brown · Walter Bradford Cannon · Heinz von Foerster · Charles François · Jay Wright Forrester · Buckminster Fuller · Ernst von Glasersfeld · Francis Heylighen · Erich von Holst · Cliff Joslyn · Stuart Kauffman · Sergei P. Kurdyumov · Niklas Luhmann · Warren McCulloch · Humberto Maturana · Talcott Parsons · Gordon Pask · Walter Pitts · Alfred Radcliffe-Brown · Robert Trappl · Valentin Turchin · Jakob von Uexküll · Francisco Varela · Frederic Vester · Charles Geoffrey Vickers · Stuart Umpleby · John N. Warfield · Kevin Warwick · Norbert Wiener · Anthony Wilden
Systems and systems science
Systems categories Systems theory · Systems science · Systems scientists (Conceptual · Physical · Social)
Systems Biological · Complex · Complex adaptive · Conceptual · Database management · Dynamical · Economical · Ecosystem · Formal · Global Positioning System · Human anatomy · Information systems · Legal systems of the world · Systems of measurement · Metric system · Multi-agent system · Nervous system · Nonlinearity · Operating system · Physical system · Political system · Sensory system · Social structure · Solar System · Systems art
Theoretical fields Chaos theory · Complex systems · Control theory · Cybernetics · Living systems · Sociotechnical systems theory · Systems biology · System dynamics · Systems ecology · Systems engineering · Systems psychology · Systems science · Systems theory
Systems scientists

Russell L. Ackoff · William Ross Ashby · Béla H. Bánáthy · Gregory Bateson · Richard E. Bellman · Stafford Beer · Ludwig von Bertalanffy · Murray Bowen · Kenneth E. Boulding · C. West Churchman · George Dantzig · Heinz von Foerster · Jay Wright Forrester · George Klir · Edward Lorenz · Niklas Luhmann · Humberto Maturana · Margaret Mead · Donella Meadows · Mihajlo D. Mesarovic · James Grier Miller · Howard T. Odum · Talcott Parsons · Ilya Prigogine · Anatol Rapoport · Claude Shannon · Francisco Varela · Kevin Warwick · Norbert Wiener · Anthony Wilden

Categories: Control theory | Cybernetics | Formal sciences | Robotics | Systems | Systems theory | American inventions

 

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'Cybernetics' News
Breaking News: Alleged U. of Alabama Shooter Revealed - Motive? - NewsBlaze
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Breaking News: Alleged U. of Alabama Shooter Revealed - Motive?

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The article states that Bishop was working on a cybernetics project that used neurons as we use integrated circuits in a computer.
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Wed Feb 24 15:32:22 2010
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Cybernetic Doctors in an effort to prevent cybernetic recipients from suffering from a condition known as Cybernetic Psychosis have all agreed to a Code of Ethics Within this code of

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Thu May 27 20:24:08 2010
'Cybernetics' Blogs
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Cybernetics Update

Derek Mathias

Wed, 23 Jun 2010 21:40:00 GM

A robotic arm dexterously operated by a monkey's brain:

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Wed Jul 14 17:47:12 2010
'Cybernetics' Answers
How long until science grants us immortality? and what are the consequences?
Q. With all the advances in medicine that i've seen in my lifetime alone, it seems conceivable that before old age, i will see science "cure death" One possibility being whole body transplant or a combination of transplant/human clone. Even cybernetics and the use of nanobots is a feasible possibility. Would you agree that this will happen? What will be the consequences if it does?
Asked by Less Than I Had Before - Thu Dec 11 01:48:48 2008 - - 9 Answers - 0 Comments

A. I personally think Nano tech. in the blood stream is already possible and possibly being used already. I saw a long time ago when a area 51 official had stated that our government posses tech. that we wont see possibly for another 50 to 100 years and that's just in avionic tech. so i can imagine what they posses as far as bio tech. Have you ever considered how tech. took a quantum leap in the 1900's. The airplane barely came along 100 years ago and look what we're doing with it already. The stealth bomber was reveled when Regan first got in office and that's the early 80's so that means they were working on it in the 70's. Just think what there working on now and what type of quantum leaps will come in the next 50 years alone. but… [cont.]
Answered by jayteemoney - Thu Dec 11 02:05:19 2008

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Sat Jun 19 07:08:01 2010
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