Things can learn from what they do. 
Some things can learn from what they do. 
Think about a person steering a big ship. The person sees where the ship goes. Then they move the rudder to stay on course.
Scientists study these loops in many ways. They look at machines and living things. They even look at how people act in groups. It is a way to see how things work together.
Cybernetics is the study of how things work in loops. 
In these loops, the result of an action comes back to change the next action. This is called feedback. The name comes from an old Greek word for steering a ship. A person steering a ship must watch the waves and wind. They move the rudder to stay on a steady course. This is a feedback loop because the ship's movement tells the person how to steer next.
Scientists use cybernetics to study many different things. They look at machines and living things. They also study how people act in groups or how nature works.
Early experts like Norbert Wiener helped start this field. 

Today, cybernetics is still very important. It helps us understand new tools like artificial intelligence. It also helps us see how people and technology live together.
Cybernetics is a special way of studying how things work in loops. 
To understand how it works, think about steering a ship. The word cybernetics comes from an ancient Greek word for a person who steers. 
Many different experts helped build this field during the 1940s. 
Norbert Wiener was a very famous scientist in this field. 
Cybernetics connects many things we see in our world today. 

Cybernetics is the transdisciplinary study of circular causal processes. It focuses on how systems use feedback and recursion to manage themselves. In these systems, the effects of an action, known as outputs, return to the system as new inputs. This circularity allows the system to influence its own future actions. Cybernetics is not limited to one subject. It provides general principles for engineering, biology, economics, and social systems. It acts as a bridge between many different fields of study. 
The core mechanism of cybernetics is the feedback loop. To understand this, consider the ancient Greek concept of steering a ship. The word cybernetics comes from the Greek term for a person who steers. 
Cybernetics has evolved through several distinct historical waves. The first wave began in the 1940s. It focused on the similarities between biological and technological regulatory processes. This era was defined by intense collaboration between many different disciplines. The second wave emerged from the 1960s onward. This period shifted the focus from pure technology toward social, ecological, and philosophical concerns. It explored how systems organize themselves and how humans observe the world. A third wave has grown since the 1990s. This modern era looks at how society and emerging technologies are deeply entangled. 
The foundations of the field were built during the 1940s through significant academic exchanges. Many researchers participated in the Macy conferences, which were funded by the Josiah Macy, Jr. Foundation between 1946 and 1953. These meetings included famous figures like Margaret Mead and John von Neumann. In the United Kingdom, the Ratio Club served as an informal group for mathematicians and engineers. Norbert Wiener and Arturo Rosenblueth helped coin the term "cybernetics" in the summer of 1947. Wiener later popularized the field with his 1948 book, "Cybernetics: Or Control and Communication in the Animal and the Machine." This book established the study of control in both animals and machines. 
Different thinkers have provided various definitions for this complex field. Norbert Wiener defined it through the lens of control and communication. The Macy conferences described it as the study of circular causal mechanisms in biological and social systems. Margaret Mead viewed it as a cross-disciplinary language for communication. Other experts offered more specific mathematical or practical views. Andrey Kolmogorov saw it as the study of systems that process information for control. Gregory Bateson described it as a branch of mathematics dealing with patterns of control and recursion. These diverse definitions show the immense richness of the subject's conceptual base.
Cybernetics has been applied to many large-scale and surprising projects. In the 1960s, Stafford Beer oversaw Project Cybersyn. This was an early attempt at using cybernetic principles for economic planning. 

Today, the influence of cybernetics remains visible across many modern scientific frontiers. The early work on artificial neural networks has returned to prominence. This is now a major part of machine learning and artificial intelligence. While artificial intelligence became its own distinct discipline in 1956, it shares deep roots with cybernetics. The field also connects to feminist technoscience and posthumanism. It helps researchers understand how humans and machines live together in a complex world. Whether studying a single machine or a global ecology, cybernetics provides the tools to understand these interconnected patterns.
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