Automated Diagnosis Systems

Most diagnosis work is done by expert humans such as mechanics, engineers, doctors, firemen, customer service agents, and analysts of various kinds. All of us usually do at least a little diagnosis even if it isn’t a major part of our working lives. We use a range of techniques for our diagnoses. Primarily, we compare a current situation with past ones, and reapply, perhaps with small modifications, the best past solutions. If this doesn’t work, we may run small mental simulations of possible solutions through our minds, based on first principles. We may do more complex simulations using first principles on paper or computers looking for solutions. Some problems are also amenable to quantitative solutions. We may hand off the problem to greater experts than ourselves, who use the same methods. The problem with humans doing diagnosis is that it often takes a long time and a lot of mistakes to learn to become an expert. Many situations just don’t reoccur frequently, and we may have to encounter each situation several time to become familiar with it. Automatic diagnosis systems can help avoid these problems, while helping humans to become experts faster. They work best in combination with a few human experts, as there are some diagnosis problems that humans are better at solving, and also because humans are more creative and adaptive than computers in coming up with new solutions to new problems.


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Automated Diagnosis Systems,Most diagnosis work is done by expert humans such as mechanics, engineers, doctors, firemen, customer service agents, and analysts of various kinds. All of us usually do at least a little diagnosis even if it isn’t a major part of our working lives. We use a range of techniques for our diagnoses. Primarily, we compare a current situation with past ones, and reapply, perhaps with small modifications, the best past solutions. If this doesn’t work, we may run small mental simulations of possible solutions through our minds, based on first principles. We may do more complex simulations using first principles on paper or computers looking for solutions. Some problems are also amenable to quantitative solutions. We may hand off the problem to greater experts than ourselves, who use the same methods. The problem with humans doing diagnosis is that it often takes a long time and a lot of mistakes to learn to become an expert. Many situations just don’t reoccur frequently, and we may have to encounter each situation several time to become familiar with it. Automatic diagnosis systems can help avoid these problems, while helping humans to become experts faster. They work best in combination with a few human experts, as there are some diagnosis problems that humans are better at solving, and also because humans are more creative and adaptive than computers in coming up with new solutions to new problems.,