How are the concepts of “surprise” and “missing information” handled by KEEL Technology?
One of the problems with ANN-based (Artificial Neural Net) solutions is that they do not react well to surprise. ANN-based systems are pattern matching systems that are taught. If they have not been taught a particular pattern of inputs, they will just interpolate between what they have been taught and create an answer. With KEEL, one describes how to interpret information, not patterns. There is no interpolation between taught points. With KEEL, one can create systems that decide how to respond to collections of abstract information points. There is no interpolation or undetermined action. The concept of “surprise” can be decomposed at multiple levels. First, one can encounter scenarios with a known set of inputs combined in unexpected ways. With KEEL, one can examine the system and observe how it was interpreted. If changes are needed they can easily be made. With ANN there is no way to know “how” an answer was derived, so it can only be addressed with increased training. Another way
