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This focus on well-defined problems produced many successful applications, no matter that the underlying systems were too inflexible to function well outside the domains for which they were designed. Ultimately, this concern would be a proper one but not in the subject's current state of immaturity.) Engineering and scientific education condition us to expect everything, including intelligence, to have a simple, compact explanation. AI ask "What's AI all about," Still other researchers want to simplify programming. Why can't we build, once and for all, machines that grow and improve themselves by learning from experience?