How does KEEL differ from Artificial Neural Nets (ANN)?
While both KEEL and Artificial Neural Nets support ‘webs’ of information relationships, ANN webs are taught by showing them patterns to recognize. When an ANN-based system makes a decision, it is based on the interpolation between points it was taught. ANN based systems cannot explain why they make decisions. Because they are taught patterns, they have problems recognizing situations that they have not been taught. In other words, they do not react well to surprise situations. Since ANN based systems may not be able to explain why they do what they do, the developers of ANN-based systems may be subject to liability concerns in safety critical systems (if they make the wrong decision due to insufficient pattern training). When new information items need to be included in a neural net system, the entire training phase may need to be repeated. This may be a significant cost and time-to-market concern. KEEL webs model the judgmental reasoning of human experts by defining explicitly how inf
