Cybernetics is the study of control and communication in systems, whether those systems are machines, organisms, or organizations. The term was given its modern meaning by Norbert Wiener in his 1948 book “Cybernetics: or Control and Communication in the Animal and the Machine,” published by the M.I.T. Press. Wiener took the word from the Greek for steersman, capturing the idea of steering a system toward a goal.
The core concept is feedback. A system observes the difference between its goal and its current state and acts to reduce that difference, then observes again, in a continuous loop. A thermostat keeping a room at a set temperature and an animal reaching for an object both work this way. By describing such goal directed behavior in precise mathematical terms, cybernetics treated purpose and self regulation as engineering problems rather than philosophical puzzles.
This framing was important groundwork for artificial intelligence. It encouraged researchers to think of intelligence as information processing and control, and it ran alongside the earliest work on artificial neurons. The McCulloch and Pitts neuron model and the first generation of neural network research grew up in this cybernetic milieu, and ideas of feedback and goal seeking carry through into modern reinforcement learning, where an agent adjusts its behavior based on signals from its environment.
As a named research program cybernetics faded after the 1950s, partly overtaken by the new field of artificial intelligence, but its central insight, that control through feedback is a general phenomenon spanning machines and life, remains foundational. The primary source used here is the scan of Wiener’s 1948 book held by the Internet Archive.