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Cybernetics' central concept of circular causality is of wide applicability, leading to diverse applications and relations with other fields. Many of the initial applications of cybernetics focused on engineering, biology, and exchanges between the two, such as medical cybernetics and robotics and topics such as neural networks, heterarchy. [35]
circular causal loops rather than linear causality, self-organization, observation as part of or directly related to systems, and; reflexivity or interaction between a system and what is known about it. Holistic Symmetry in Modern Science, webtext by Gary Witherspoon, 3 April 2007.
The perceptual control theory is deeply rooted in biological cybernetics, systems biology and control theory and the related concept of feedback loops. Unlike some models in behavioral and cognitive psychology it sets out from the concept of circular causality.
According to George Richardson's book "Feedback Thought in Social Science and Systems Theory", [2] the first published, formal use of a causal loop diagram to describe a feedback system was Magoroh Maruyama's 1963 article "The Second Cybernetics: Deviation-Amplifying Mutual Causal Processes".
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.
Systems theory is the transdisciplinary [1] study of systems, i.e. cohesive groups of interrelated, interdependent components that can be natural or artificial.Every system has causal boundaries, is influenced by its context, defined by its structure, function and role, and expressed through its relations with other systems.
Approaches of medical cybernetics include: Systems theory in medical sciences: The scope of systems theory in the medical sciences is searching for and modelling of physiological dynamics in the intact and diseased organism to gain deeper insights into the organizational principles of life and its perturbations.
Causality is an influence by which one event, process, state, or object (a cause) contributes to the production of another event, process, state, or object (an effect) where the cause is at least partly responsible for the effect, and the effect is at least partly dependent on the cause. [1]