By explicitly representing goals and sub-goals within an internal architecture, agentic AI can prioritize actions that move it closer to achieving overarching objectives. This focused decision-making improves efficiency and helps avoid distractions caused by irrelevant stimuli or noisy data.

By explicitly representing goals and sub-goals within an internal architecture, agentic AI can prioritize actions that move it closer to achieving overarching objectives. This focused decision-making improves efficiency and helps avoid distractions caused by irrelevant stimuli or noisy data.

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