Cyberneticist

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A cybernetician or a cyberneticist is a person who applies cybernetics.

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Heinz von Foerster once told Stuart Umpleby that Norbert Wiener preferred the term "cybernetician" rather than "cyberneticist", perhaps because Wiener was a mathematician rather than a physicist.

The word "cyberneticist" was used by Nicolas Rashevsky who began as a theoretical physicist. Robert Rosen, who began his career as a mathematician, regarded neurocybernetics—and more generally biocybernetics—as fields closely allied to mathematical biology and mathematical biophysics in which control theory and dynamical system theories also play significant roles.

Today "cybernetician" is preferred by members of the American Society for Cybernetics (ASC) [1] and British Cybernetics Society (CybSoc). [2]

See also

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Warren Sturgis McCulloch was an American neuropsychologist and cybernetician known for his work on the foundation for certain brain theories and his contribution to the cybernetics movement. Along with Walter Pitts, McCulloch created computational models based on mathematical algorithms called threshold logic which split the inquiry into two distinct approaches, one approach focused on biological processes in the brain and the other focused on the application of neural networks to artificial intelligence.

<span class="mw-page-title-main">Norbert Wiener</span> American mathematician and philosopher (1894–1964)

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Medical cybernetics is a branch of cybernetics which has been heavily affected by the development of the computer, which applies the concepts of cybernetics to medical research and practice. At the intersection of systems biology, systems medicine and clinical applications it covers an emerging working program for the application of systems- and communication theory, connectionism and decision theory on biomedical research and health related questions.

The calculus ratiocinator is a theoretical universal logical calculation framework, a concept described in the writings of Gottfried Leibniz, usually paired with his more frequently mentioned characteristica universalis, a universal conceptual language.

<span class="mw-page-title-main">Yakov Sinai</span> Russian–American mathematician

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Second-order cybernetics, also known as the cybernetics of cybernetics, is the recursive application of cybernetics to itself and the reflexive practice of cybernetics according to such a critique. It is cybernetics where "the role of the observer is appreciated and acknowledged rather than disguised, as had become traditional in western science". Second-order cybernetics was developed between the late 1960s and mid 1970s by Heinz von Foerster and others, with key inspiration coming from Margaret Mead. Foerster referred to it as "the control of control and the communication of communication" and differentiated first-order cybernetics as "the cybernetics of observed systems" and second-order cybernetics as "the cybernetics of observing systems".

Biocybernetics is the application of cybernetics to biological science disciplines such as neurology and multicellular systems. Biocybernetics plays a major role in systems biology, seeking to integrate different levels of information to understand how biological systems function. The field of cybernetics itself has origins in biological disciplines such as neurophysiology. Biocybernetics is an abstract science and is a fundamental part of theoretical biology, based upon the principles of systemics. Biocybernetics is a psychological study that aims to understand how the human body functions as a biological system and performs complex mental functions like thought processing, motion, and maintaining homeostasis.(PsychologyDictionary.org)Within this field, many distinct qualities allow for different distinctions within the cybernetic groups such as humans and insects such as beehives and ants. Humans work together but they also have individual thoughts that allow them to act on their own, while worker bees follow the commands of the queen bee. . Although humans often work together, they can also separate from the group and think for themselves.(Gackenbach, J. 2007) A unique example of this within the human sector of biocybernetics would be in society during the colonization period, when Great Britain established their colonies in North America and Australia. Many of the traits and qualities of the mother country were inherited by the colonies, as well as niche qualities that were unique to them based on their areas like language and personality—similar vines and grasses, where the parent plant produces offshoots, spreading from the core. Once the shoots grow their roots and get separated from the mother plant, they will survive independently and be considered their plant. Society is more closely related to plants than to animals since, like plants, there is no distinct separation between parent and offspring. The branching of society is more similar to plant reproduction than to animal reproduction. Humans are a k- selected species that typically have fewer offspring that they nurture for longer periods than r -selected species. It could be argued that when Britain created colonies in regions like North America and Australia, these colonies, once they became independent, should be seen as offspring of British society. Like all children, the colonies inherited many characteristics, such as language, customs and technologies, from their parents, but still developed their own personality. This form of reproduction is most similar to the type of vegetative reproduction used by many plants, such as vines and grasses, where the parent plant produces offshoots, spreading ever further from the core. When such a shoot, once it has produced its own roots, gets separated from the mother plant, it will survive independently and define a new plant. Thus, the growth of society is more like that of plants than like that of the higher animals that we are most familiar with, there is not a clear distinction between a parent and its offspring. Superorganisms are also capable of the so-called "distributed intelligence," a system composed of individual agents with limited intelligence and information. These can pool resources to complete goals beyond the individuals' reach on their own. Similar to the concept of "Game theory." In this concept, individuals and organisms make choices based on the behaviors of the other player to deem the most profitable outcome for them as an individual rather than a group.

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