Origins: Wiener and the Macy conferences
The word cybernetics comes from the Greek for "steersman." While working on anti-aircraft fire control in the Second World War, the mathematician Norbert Wiener noticed that predicting a pilot's movements and correcting for error resembled purposeful human behavior. Rosenblueth, Wiener and Bigelow's "Behavior, Purpose and Teleology" (1943) explained goal-directed action as negative feedback, and that same year McCulloch and Pitts modeled neurons as logic circuits. The Macy conferences (1946–1953) brought mathematicians, physiologists and anthropologists such as Margaret Mead and Gregory Bateson together, and in 1948 Wiener published Cybernetics: Or Control and Communication in the Animal and the Machine. Shannon's information theory appeared the same year, and the concept of information took hold alongside it.
Core ideas: feedback and requisite variety
Feedback is the central concept. Negative feedback, like a thermostat acting to shrink the gap between output and goal, explains homeostasis such as stable body temperature; positive feedback, which widens the gap, explains runaway growth and sudden change. The psychiatrist W. Ross Ashby's An Introduction to Cybernetics (1956) stated the "law of requisite variety": to control a system stably, a regulator must command as much variety of response as the disturbances it faces. Stafford Beer applied these ideas to organizations in his Viable System Model and, in the early 1970s, helped run Chile's Project Cybersyn, an experiment in managing a national economy. These ideas developed in dialogue with general systems theory.
Second-order cybernetics and legacy
In the 1970s Heinz von Foerster proposed "second-order cybernetics," the cybernetics of cybernetics, in which the observer is part of the system being observed. Maturana and Varela's concept of autopoiesis and Bateson's ecology of mind belong to the same current. As a discipline, cybernetics dispersed after the 1970s into control engineering, cognitive science, artificial intelligence and complexity science, but it left deep marks on neural-network research, robotics, and systems thinking in family therapy and management. Historians Andrew Pickering and Ronald Kline have re-examined how cybernetics shaped Cold War science and culture. The prefix "cyber" itself descends from it.
FAQ
- Are cybernetics and artificial intelligence the same thing?
- No. They share some roots, but cybernetics centered on adaptation through feedback and control, while early AI centered on symbol processing and reasoning. Modern neural-network research blends both traditions.
- How do negative and positive feedback differ?
- Negative feedback reduces deviation from a goal and keeps a system stable; positive feedback amplifies change, producing growth or runaway behavior.
Sources reviewed: 2026-10-26
References
- Wiener, N. (1948). Cybernetics: Or Control and Communication in the Animal and the Machine. Cambridge, MA: MIT Press.
- Rosenblueth, A., Wiener, N., & Bigelow, J. (1943). Behavior, purpose and teleology. Philosophy of Science, 10(1), 18–24.
- McCulloch, W. S., & Pitts, W. (1943). A logical calculus of the ideas immanent in nervous activity. Bulletin of Mathematical Biophysics, 5(4), 115–133.
- Shannon, C. E. (1948). A mathematical theory of communication. Bell System Technical Journal, 27(3), 379–423.
- Ashby, W. R. (1956). An Introduction to Cybernetics. London: Chapman & Hall.
- Beer, S. (1972). Brain of the Firm. London: Allen Lane.
- Bateson, G. (1972). Steps to an Ecology of Mind. San Francisco: Chandler.
- von Foerster, H. (1974). Cybernetics of Cybernetics. Urbana: Biological Computer Laboratory, University of Illinois.
- Maturana, H. R., & Varela, F. J. (1980). Autopoiesis and Cognition. Dordrecht: Reidel.
- Pickering, A. (2010). The Cybernetic Brain: Sketches of Another Future. Chicago: University of Chicago Press.
- Kline, R. R. (2015). The Cybernetics Moment. Baltimore: Johns Hopkins University Press.
- Medina, E. (2011). Cybernetic Revolutionaries: Technology and Politics in Allende's Chile. Cambridge, MA: MIT Press.
