MittelZielAnalyse
MittelZielAnalyse, also known as means-ends analysis, is a problem-solving heuristic prominent in artificial intelligence and cognitive psychology. It provides a framework for planning sequences of actions by focusing on reducing the difference between the current state and a desired goal state. The approach was developed by Allen Newell and Herbert A. Simon as part of symbolic problem-solving research and featured prominently in early AI planning and expert-system work.
The method proceeds by comparing the current state to the goal, selecting a goal-reducing difference, and identifying
Applications include general problem solving, rule-based planning, strategic game playing, robotics, and educational simulations. It has
Limitations include sensitivity to the definition of states and operators, potential combinatorial explosion, and difficulties in
See also: Means-Ends Analysis; AI planning; problem solving; heuristic search.