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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]
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.
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.
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 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 ...
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.
Causal analysis is the field of experimental design and statistics pertaining to establishing cause and effect. [1] Typically it involves establishing four elements: correlation, sequence in time (that is, causes must occur before their proposed effect), a plausible physical or information-theoretical mechanism for an observed effect to follow from a possible cause, and eliminating the ...
Hume interpreted the latter as an ontological view, i.e., as a description of the nature of causality but, given the limitations of the human mind, advised using the former (stating, roughly, that X causes Y if and only if the two events are spatiotemporally conjoined, and X precedes Y) as an epistemic definition of causality. We need an ...