Hierarchical Planning
Also called: Hierarchical Task Planning, Hierarchical Task Network Planning
A planning approach in which a complex goal is recursively decomposed into smaller subgoals and tasks, allowing an AI system to create and execute plans at multiple levels of abstraction.
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Related terms
The process by which an AI system identifies, prioritizes, and organizes objectives into an actionable plan, determining the sequence of tasks and strategies required to achieve one or more specified goals.
Task DecompositionThe process of breaking down a complex task into smaller, manageable subtasks for structured execution.
Dynamic PlanningA planning approach in which an AI system continuously updates or revises its plans in response to changing goals, environmental conditions, or new information.
Plan ExecutionThe process of carrying out the actions and steps defined by an AI agent's plan to achieve a specified goal.
Hierarchical AgentAn AI agent architecture that organizes multiple agents into hierarchical layers, where higher-level agents decompose goals, coordinate decision-making, and supervise lower-level agents responsible for executing specialized tasks.