Machines can learn actions but can they classify situations?

The use of the genetic algorithm for learning individual actions in a rule-based process control system is described. Its use for learning a whole set of actions for controlling a dynamical system is then described with two possible classifications of the state space. How the genetic algorithm can be used to learn classifications in a database application is then outlined and the relevance of this to state-space classification shown. Finally, the difficulties of combining the different processes is discussed