ABSTRACT
Although most decision support systems concentrate on the middle phase, plan-formulation, this chapter will focus on the other two decision-making phases, which we will refer to as ‘strategizing’. Strategizing has always been left for humans to perform rather than entrusting it to computers. This is because of its key importance and because computers cannot do it as well as humans can. But it is theoretically possible to attach a self-improvement mechanism to most decision support systems. Such a mechanism enables the system to learn how to make better and better recommendations the more it is used. Such a system will therefore get closer and closer to becoming a valid strategizer.
