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The key feature of an expert system is that the knowledge base is structured to be traversed by the inference engine. Web sites like Stack Exchange don't really use an inference engine; they do full-text searches on minimally-structured data. A real inference engine would be able to answer novel queries by putting together answers to existing questions; ...


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First of all, I would like to point out the main differences between knowledge base and (Deep) machine learning, specially when the main focus is on "AI" not "Data Science": NNs are like a black box; Even if they learn a dataset and gain the power of generalization over the problem domain, you'd never know how they are working. if you scrutinize the details ...


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No, I don't think there's any reason to say that - in general - CRUD apps "are" expert systems. A given CRUD app could incorporate an expert system, but by and large CRUD apps are considered among the "dumbest" of applications exactly because they don't feature much intelligence... you can just Create, Read, Update and Delete entities. From what I've seen, ...


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It's correct that knowledge based Expert systems have fallen out of fashion. They were intensive researched in the 1970s and 1980s. The new, more exciting topic, is called data-driven and machine learning approach. This kind of turnaround can be traced back in the literature. Since the 1990s lots of papers were created about data-mining and only a few ...


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I would say Expert Systems is still being taught. For instance, if you look at some of the open courses like MIT's, there are still lectures on it. Also, looking at the CLIPS documentation, you will find a couple of examples of usage from 2005. What I suspect is that Expert Systems are now embedded with "normal systems" in practice. Hence it may be ...


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We cannot do homework for students in this network, however I can suggest that several items affecting cost and several usage patterns are missing and the number of rules is shy by an order of magnitude. I wholeheartedly agree with the educational directives you received. Consider first developing your lists further to include peripherals like DVD burner, ...


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The MYCIN Experiments of the Stanford Heuristic Programming Project were indeed showing impressive diagnostic performance back in 1983. By now, had the medical community and lawyers not met to raise ethical concerns with the university, it is likely that a few billion dollars in unnecessary office visits would have been saved and the average insurance ...


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In the context of case-based reasoning the chunks are called “cases” and are equal to memory from the past. Let us investigate an example how a knowledge based expert system looks like. At first, we have the knowledge itself which is determined by symbolic events happening over time: time event 0 carIsArriving 1 personIsLeavingCar 1 carIsArriving ...


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Welcome to the AI stack Jake. This probably isn't going to be possible. Modern Psudo-random number generators, like Mersenne Twister, are designed not to have any patterns in them, so there's nothing to learn from. You could however, try something like predicting the values of a broken random number generator, like RANDU. These aren't used anymore, ...


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CRUD applications today can't be considered expert systems. However,even Even the called so Expert Systems which are currently developed,are implemented using normal programming statements, but what is important is the architecture that is built. Current Expert Systems use only if-then types of rules that produce data results that can be used as inputs to ...


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