Reactive machines are one of the lowest types of Artificial Intelligence systems. It is important to notice that these machines are capable of perceiving their environment and responding to specific inputs although they do not exhibit memory or learning. As for the latter, AI can only respond to a particular set of functions to which they are programmed and thus are great for simple tasks. One example in particular is IBM’s Deep Blue, the chess machine that was capable of beating world champion Garry Kasparov in 1997. While it could look at board positions and make moves based on already fed-in algorithms, it could not learn and adapt.