AI agent diagram

AI agent diagram is a visual representation that illustrates the functional components, decision-making processes, and behavioral patterns of autonomous artificial intelligence systems. These technical schematics depict how AI agents perceive their environment through sensors, process information using reasoning engines, and execute actions through actuators while maintaining internal states and learning mechanisms. AI agent diagrams typically showcase the flow of data between perception modules, knowledge bases, inference engines, and action selection mechanisms alongside feedback loops that enable continuous learning and adaptation. System designers use these diagrams to communicate agent architectures, identify optimization opportunities, and document operational workflows for stakeholders. Common diagram types include reactive agent models, deliberative architectures, and hybrid systems that combine multiple AI paradigms. These visual specifications serve as blueprints for development teams, facilitate technical discussions, and provide reference documentation for implementation, testing, and maintenance phases.