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Expert Systems
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Expert systems have been one of the most successful AI-related technologies and have been around since the 1960s. Expert systems mimic human expertise in a particular field to solve a problem in a well-defined area. They mimic human expertise in a particular field to solve a problem in a well-defined area. An expert system consists of programs that mimic human thought behavior in a specific area that human experts have solved successfully.
Decision support systems generate information by using data, models, and well-defined algorithms, but expert systems work with heuristic data. Heuristics consist of common sense, rules of thumb, educated guesses, and instinctive judgments, and using heuristic data encourages applying knowledge based on experience to solve or describe a problem. In other words, heuristic data is not formal knowledge, but it helps in finding a solution to a problem without following a rigorous algorithm.
Decision support systems generate information by using data, models, and well-defined algorithms, but expert systems work with heuristic data. Heuristics consist of common sense, rules of thumb, educated guesses, and instinctive judgments, and using heuristic data encourages applying knowledge based on experience to solve or describe a problem. In other words, heuristic data is not formal knowledge, but it helps in finding a solution to a problem without following a rigorous algorithm.
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