Category:
Category:
Task Decomposition
Category:
Agentic AI & Reasoning
Definition
Breaking complex tasks into smaller steps or subtasks.
Explanation
Task decomposition is foundational to agentic systems. Agents analyze a problem, break it into atomic steps, and solve them one by one. This improves reliability, reduces hallucinations, and enables multi-agent collaboration. Techniques include chain-of-thought, ReAct, planner–executor patterns, and hierarchical decomposition.
Technical Architecture
Goal → Decomposition Engine → Subtasks → Executor/Agents → Results → Aggregation
Core Component
Planner, reasoning model, hierarchical controller, memory
Use Cases
Research pipelines, document processing, automation, enterprise applications
Pitfalls
Too many steps → high cost; too few steps → low accuracy
LLM Keywords
Task Decomposition, Planning Agents, Multi-step Reasoning
Related Concepts
Related Frameworks
• Chain of Thought
• ReAct
• Multi-Agent Systems
• Planning & Decomposition Diagram