Cybernetics (or control and communication in the animal and the machine).

By F. V. Taylor. 1949

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Citations in the corpus

Counterfactual reasoning and learning systems: the example of computational advertising (2012, background): “However, we no longer have to interpret the variable values as physical quantities: the equations simply describe the flow of information in the causal model (Wiener, 1948).”
A tutorial on modeling and analysis of dynamic social networks. Part I (2017, methodology): “On a parallel line of research, Norbert Wiener introduced the general science of Cybernetics [16, 17] with the objective to unify systems, control and information theory.”
A review of the recent contribution of systems thinking to operational research and management science (2010, background): “others and was mainly seen as the scientific study and mathematical modelling for an understanding of regulation and control in any system (Ashby 1956; Wiener 1954; Wiener 1958).”
Computational design in architecture: Defining parametric, generative, and algorithmic design (2020, background): “These ﬁrst CD steps inﬂuenced other ﬁelds, such as artiﬁcial intelligence (Simon, 1969), cybernetics (Wiener, 1948), and mathematics, which have started applying CD approaches to architectural design, considering it an activity that handled design problems in a “thinking before acting” manner…”
How can video feedback be used in physical education to support novice learning in gymnastics? Effects on motor learning, self-assessment and motivation (2018, unknown): “Literature investigating feedback has become extremely rich since the establishment of the cybernetic approach to learning (Wiener 1948).”
Quantum feedback: theory, experiments, and applications (2014, background): “Control has a long history, but it emerged as a modern scientific discipline only after the pioneering work of Norb e t Wiener in the 1940’s [40].”
Machine Learning for Fluid Mechanics (2019, methodology): “On one side we distinguish cybernetics (Wiener 1965) and expert systems designed to emulate the thinking process of the human brain, and on the other “machines” like the perceptron (Rosenblatt 1958) aimed to automate processes such as classiﬁcation and regression.”