Explore 10 AI terms in Systems Theory
The Cascade Model is a framework for understanding how changes in one system can lead to effects in interconnected systems.
A Causality Matrix is a structured tool for analyzing relationships between causes and effects in systems.
Computational cybernetics is the study of systems that manage and process information, often intertwining biology and technology.
Control theory is a mathematical framework for modeling and regulating dynamic systems to achieve desired performance.
Cybernetics is the interdisciplinary study of systems, control, and communication in animals and machines.
Emergent behavior refers to complex patterns that arise from simple rules in systems, often seen in AI and nature.
The equilibrium point is a state where a system experiences no net change, balancing competing forces.
A feedback loop is a process where outputs of a system are circled back as inputs, influencing future behavior.
A Linear Dynamical System is a mathematical model that describes how a system evolves over time using linear equations.
An open system exchanges information and energy with its environment, allowing adaptability and interaction.