Cybernetics is an interdisciplinary scientific field that studies the mechanisms of communication and control in complex systems, whether biological, mechanical, or social. It focuses on observing interactions, feedback loops, and self-regulation, aiming to understand how systems adapt, maintain themselves, and evolve within their environments. Unlike traditional computer science, which mainly deals with information processing, cybernetics emphasizes system dynamics and self-regulation capabilities.
Use cases and examples
Cybernetics is applied in robotics, where feedback loops allow robots to adapt to their surroundings. In biology, it is used to model physiological regulations such as body temperature control. In social sciences, cybernetic models help analyze organizations and business management. In engineering, it is essential for designing automated systems capable of real-time decision-making.
Main software tools, libraries, frameworks
Frequently used tools and frameworks include MATLAB and Simulink for modeling and simulating dynamic systems, as well as Python with libraries such as SciPy, Control, and PyDSTool. Platforms like LabVIEW are also used for real-time control system management. For multi-agent modeling, NetLogo is a popular choice.
Recent developments, evolutions, and trends
Cybernetics is experiencing renewed interest due to advances in artificial intelligence and autonomous systems. Current research focuses on integrating cybernetics with machine learning to create increasingly adaptive systems, notably in autonomous vehicles and energy management systems. Trends also include applying cybernetics to complex systems such as social networks and digital ecosystems.