Definition
An informed search algorithm used in agentic planning to find the most efficient sequence of tool calls or states by combining actual path cost with a heuristic estimate. It offers an architectural trade-off between finding the mathematically optimal action path and the computational latency required to evaluate complex state heuristics.
Not a generic pathfinding tool for maps, but a method for AI agents to navigate 'state-space' to reach a goal with minimal tokens or steps.
"A GPS navigator that considers both the miles already driven and the estimated traffic ahead to choose the fastest route to a destination."
- Heuristic Function(Component)
- State-Space Search(Prerequisite)
- Tree-of-Thoughts (ToT)(Advanced Variant)
- BFS (Breadth-First Search)(Uninformed Alternative)
Conceptual Overview
An informed search algorithm used in agentic planning to find the most efficient sequence of tool calls or states by combining actual path cost with a heuristic estimate. It offers an architectural trade-off between finding the mathematically optimal action path and the computational latency required to evaluate complex state heuristics.
Disambiguation
Not a generic pathfinding tool for maps, but a method for AI agents to navigate 'state-space' to reach a goal with minimal tokens or steps.
Visual Analog
A GPS navigator that considers both the miles already driven and the estimated traffic ahead to choose the fastest route to a destination.