Control skill, machine learning and hand-crafting in controller design
Ivan Bratko, Tanja Urbančič · 2000
Abstract Consider a dynamic system, such as a crane or a plane, and an operator who has acquired the skill of operating that system. Suppose then that the operator is asked to design an algorithm for automatically controlling the system. The operator may try to design such an automatic controller by reconstructing his or her subcognitive skill through introspection, or by other means, e.g. by reasoning about the system and engineering the controller. The main question investigated in this paper is, how would different operators go about this task, and how does the success depend on various factors affecting the task? These factors include: