Rule-based systems are artificial intelligence systems that use logical rules to process information and make decisions. These systems are designed to mimic the way humans make decisions based on a set of rules and prior knowledge. The rules are stated in an if-then format, where a condition (if) and an action to be taken (then) are stated. These rules can be simple or complex, and can be combined to form larger, more sophisticated systems. Rule-based systems are used in applications such as medical diagnostics, industrial process control and fraud detection.
Typically, Machine Learning is used to solve business problems in various sectors and areas where different algorithms are applied.
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