The art of thinking · Parts, wholes and systems
Cybernetics
Also known as: Control and communication in the animal and the machine
German: Kybernetik
Cybernetics is the science of control and communication in animals, machines and organizations — how systems use feedback to pursue goals and stay stable — named and founded as a field by the mathematician Norbert Wiener in 1948.
- Thinking models
- Systems theory
- Engineering
In one sentence
Cybernetics, named by Norbert Wiener in 1948, studies control and communication through feedback in machines, organisms and organizations.
Example
A documentation process with a feedback loop — field reports reviewed monthly, corrections tracked to the next release — is cybernetic: it measures its output and corrects itself. Without the loop, errors accumulate unnoticed.
How it applies
- Name and origin: Wiener took the word from Greek kybernētēs, steersman. The field grew from wartime work on anti-aircraft fire control and from the interdisciplinary Macy conferences, with Warren McCulloch, John von Neumann, Margaret Mead, Gregory Bateson and others.
- Core ideas: Negative feedback (deviations from a goal are measured and corrected), information as a measurable quantity, and the analogy between control in organisms and in machines. W. Ross Ashby’s An Introduction to Cybernetics (1956) gave it a general formulation, including the law of requisite variety.
- Second-order cybernetics: From the late 1960s Heinz von Foerster and others included the observer in the system — cybernetics of observing systems.
- Technical documentation: Feedback is not only a control engineering concept. Documentation processes, review loops and change management are control loops; asking what is measured, against which goal, and who corrects is a cybernetic question.
Cybernetics vs. control engineering
Feedback in control engineering is the technical mechanism; cybernetics is the general theory that treats the same principle in organisms, organizations and communication.
How to read this pool
Entries, context cards and transitional topics
The art of thinking explains ways of thinking — where a method comes from, what it asks of you and how it was adapted later. You meet four kinds of content here, each with its own job:
- Glossary entry
- Defines one concept or method of thinking: its origin, an example and how it relates to neighboring ideas. “X vs. Y” sections set two methods side by side.
- Context card of the art of thinking
- A short, self-contained answer to one question about a way of thinking — its lineage, its steps, its limits. These cards are listed on The art of thinking only.
- Transitional topicBridges both pools
- A context card that bridges both pools: it shows how a way of thinking was adapted into documentation, analysis or quality practice. It sits with the reference context cards and is marked as transitional wherever it appears.
- Reference entry or context card
- Belongs to the Glossary & Norms Space on regulation, norms and engineering. Entries here link to one only where a method is also an established tool of documentation or quality work, such as the five whys or a user’s mental model.