Planning in Agents — Free AI Agents Tutorial
Learn Planning in Agents in AI Agents with a free, beginner-friendly tutorial, examples and practice for Indian students on Syllab.in.
TL;DR: Learn Planning in Agents in AI Agents with a free, beginner-friendly tutorial, examples and practice for Indian students on Syllab.in.
Written & reviewed by the Syllab.in Academic Team (CBSE/NCERT subject experts) · Updated
Planning in Agents in AI Agents
Planning is how agents decompose goals into action sequences. Rather than deciding actions one at a time (reactive), agents look ahead: "To achieve goal X, I must first do Y, then Z." Planning requires a model of the world and understanding action consequences.
Simple planning: straightforward action sequences. Complex planning: handling dependencies, alternatives, and uncertainty. An agent tutoring for exams might plan: Assess → Review weak areas → Practice → Mock test → Review mistakes → Final review.
In Indian education, curriculum planning is hierarchical: Year goal → Term goals → Month goals → Week goals → Daily lessons. AI agents can help students follow this planning structure dynamically based on progress.
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