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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.
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.
An architectural paradigm of distributed autonomous agents that cooperate or compete to solve tasks. Focuses on coordination, communication and emergent behavior across software and robotic agents.
Concept for AI agents that deliberately invoke external tools, APIs and services to extend capabilities and solve tasks pragmatically.
Guardrails are guide rails of rules, automation and metrics that enable teams to operate autonomously while limiting risk.
Concept for systematically integrating humans into automated decision and learning processes to improve quality, accountability and adaptability.
Core strategies for detecting, classifying and handling errors in software systems.
Concept for defining alternative behaviors when primary functions fail to preserve availability and user experience.