Author(s): Suraj Pandey

Originally published on Towards AI.

Learn How ReAct, Planning, and Reflection Form the Core of Next-Gen Intelligent Systems

Imagine you’re planning a vacation. You don’t just Google “best hotels in Paris” and stop there. Instead, you think: “I need a hotel near the Louvre, check reviews, compare prices, maybe look at alternative neighborhoods if everything’s too expensive, and then book the one that fits my budget.” You’re reasoning, acting, checking results, and adapting — all in a loop.

This article discusses the emergence of Agentic AI and its core components, focusing on three fundamental patterns: ReAct (Reasoning and Acting), Planning, and Reflection. It explains the differences between traditional AI and agentic AI, emphasizing how the latter can autonomously reason, plan, and learn from its experiences. Real-world applications are explored, showcasing how these principles can enhance problem-solving capabilities in various fields, including customer support and project management. As AI systems evolve, their ability to integrate reasoning, structured planning, and self-reflection is expected to significantly transform interactions in diverse domains.

Read the full blog for free on Medium.

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Published via Towards AI