Expert systems’ uses?

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Expert systems use artificial intelligence to perform complex human tasks, such as map routing and CAD systems. They are used in troubleshooting, weather forecasting, logistics management, war simulations, and disease research. Human intelligence is needed to convert problem-solving techniques into business rules for the program to weigh options. Expert systems are also used in credit card and loan processing, and the Human Genome Project used them to decipher human genetics.

Expert systems are software programs that perform complex human tasks. Some examples of expert systems include map routing programs and computer aided development (CAD) systems. These programs use artificial intelligence with rules and algorithms to solve difficult problems.

Expert systems are often used in complex troubleshooting programs. These typically require human intelligence and decisions, which take a long time to evaluate. Systems use predefined rules to determine behavior or outcomes of specific events. Rules can be modified to support future changes if needed due to unforeseen conditions.

Weather forecasting and radar projections use expert systems applications. These forecasting systems use different rules based on temperature, wind, humidity and the jet stream. The application makes projections on potential weather patterns based on specific conditions and rules within the application.

Logistics management needed to respond to natural disasters requires applications of expert systems. This software can help emergency personnel determine where to place equipment for disaster relief resources. This is most often used in forest firefighting, hurricane relief, and earthquake relief around the world.

War simulation programs are applications of expert systems. These programs use complex rules to determine armory logistics and human casualties during war situations. War simulation programs are used to help governments determine the best approach to take during a confrontation.

Human intelligence and experience are what make an expert system work. These problem-solving techniques are transformed into business rules that help the program weigh options on specific decisions. Every expert system requires human subject matter experts to convert the logical process into specific rules.
The Human Genome Project was a program that used expert systems to decipher human genetics. This has provided scientists with advanced mapping capabilities that have helped determine the link between genetics and human characteristics. Without expert systems, this link would have been difficult to discover.
Credit card and loan processing programs are also applications of expert systems. These software modules use predefined rules that determine the credit risk of potential lenders. Rules are typically based on prior credit history and income patterns, which helps determine long-term investment risk to the bank.
Many scientists use expert systems to assist in the discovery of cures for disease. These programs can calculate changes in behavior and decipher patterns faster than humans. This can help with the development of effective treatments and cures.




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