Title :
HCC implications for the procurement process
Author_Institution :
Univ. of Southern California, CA
Abstract :
AI research has done much over the years to facilitate intelligent guessing. Rule-based systems using information about symptoms help solve medical questions given limited information, even helping the user ferret out the important information. Neural networks combine information about multiple variables to solve several guessing situations. Uncertainty representations help guide users to guessing insights about a wide range of problems including machine fault problems. Knowledge discovery can generate profiles or discover unique relationships among variables. These and other AI areas are steeped in guessing. However, the solution approaches are relatively independent of each other
Keywords :
artificial intelligence; knowledge based systems; AI research; intelligent guessing; knowledge discovery; machine fault problem; neural networks; rule-based system; uncertainty representation; Dictionaries; Frequency; Guidelines; Humans; Intelligent systems; Knowledge based systems; Random processes; Security; TV; Testing; artificial intelligence; research and development;
Journal_Title :
Intelligent Systems, IEEE
DOI :
10.1109/MIS.2006.51