Mind Over Machine: The Power of Human Intuition and Expertise in the Era of the ComputerHuman intuition and perception are basic and essential phenomena of consciousness. As such, they will never be replicated by computers. This is the challenging notion of Hubert Dreyfus, Ph. D., archcritic of the artificial intelligence establishment. It's important to emphasize that he doesn't believe that AI is fundamentally impossible, only that the current research program is fatally flawed. Instead, he argues that to get a device (or devices) with human-like intelligence would require them to have a human-like being in the world, which would require them to have bodies more or less like ours, and social acculturation (i.e. a society) more or less like ours. This helps to explain the practical problems in implementing artificial intelligence algorithms. |
Contents
Five Steps from Novice to Expert | 16 |
Logic Machines and Their Limits | 52 |
From High Hopes to Sober | 67 |
Copyright | |
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ability advanced beginner analytic areas artificial intelligence automation behavior brain called chance events chess player Cognitive cognitivist commonsense knowledge computerized context-free deci decision analysis decision-making DENDRAL described developed digital computer domain drill and practice ence everyday example expert systems expertise face facts and rules Feigenbaum frame problem future goal grammed Herbert Simon heuristic holistic human experts Ibid images inferences information processing INTERNIST-I intuitive involved judgment know-how knowledge engineering learner learning logic machines Marvin Minsky mathematical models memory ment micro-world mind Minsky Newell novice objective Papert pattern performance perspective Plato possible prediction problem procedures produce proficient puter question real-world reason recognize relevant result robot Roger Schank scientific sense Seymour Papert SHRDLU similar simulate skill acquisition Socrates solving stage student symbols task teaching Terry Winograd theory things tion tutee tutor understanding variables