This skill introduces the concept of software agents in AI systems, including autonomous and semi-autonomous agents used for decision-making, task execution, or coordination. It focuses on their design, deployment, and integration in HPC-based AI workflows.

• External: Basic knowledge of reinforcement learning or AI model behavior
• Internal: None

• Define what constitutes an AI agent in the context of HPC workloads.
• Differentiate between reactive, deliberative, and hybrid agent architectures.
• Explain use cases for agents in model orchestration, data interaction, and simulation-based learning.
• Describe the lifecycle of an agent from initialization to termination in an HPC pipeline.
• Evaluate agent behavior in terms of autonomy, adaptability, and communication.

Caution: All text is AI generated