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This cluster covers AI-powered agents and automation solutions to assist and automate business processes, orchestrate distributed systems, and execute repetitive tasks.
Covers conceptual definitions of autonomous AI agents, core components, interaction patterns, decision architectures, fundamental automation principles, concepts and model functions. Addresses feedback loops, interfaces to external systems and abstract integration patterns within a conceptual scope. Excludes detailed implementation guides, code examples, product-specific configurations, operational procedures, evaluation metrics, training data descriptions and ML pipeline specifications.
Autonomous software actors that perceive, plan and act to accomplish tasks; an architectural pattern for assistants, automation and distributed systems.
Architectural concept for systems that make decisions and act autonomously, e.g., in robotics, vehicles, or distributed control systems.