<ul><li>Agentic reasoning involves ingesting data, improving decisions based on updated patterns, and adapting without being re-programmed.</li><li>Reasoning across time horizons allows systems to evaluate what will be best over time, not just what is best now.</li><li>Learning from outcomes involves adjusting internal models based on feedback to improve performance.</li><li>Collaboration with other AI agents and optimizing performance through goal-directed behavior are key aspects of agentic systems.</li></ul>

Understanding Agentic Reasoning and Thinking for Product and BManagers

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