The article discusses expert systems that replicate human decision-making through a structured architecture and knowledge base. It analyzes MYCIN, a pioneering system that utilized fuzzy logic for dealing with imprecise data, enhancing applications in areas such as UAV autonomy, safety in oil exploration, and aircraft performance monitoring. Recent advancements in fuzzy logic have spurred a billion-dollar market in mobile learning, utilizing algorithms to adapt content to individual learner’s needs, serving as essential tools for educators to make data-driven decisions.
Expert systems emulate human decision-making, utilizing components like knowledge bases and fuzzy logic, enhancing autonomy in fields like UAVs and mobile learning.
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