Means-Ends Analysis

Means-ends analysis is a planning strategy that repeatedly compares the current state with the goal state, identifies the largest difference between them, and selects an action or operator that reduces that difference. Borrowed from classical AI, it drives step-by-step progress toward a goal by always attacking the most significant remaining gap. Agents apply it to decide which subgoal or tool call most advances the objective.