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.
Deep learning translates as deep learning and is a type of artificial intelligence (AI) that is encompassed within machine learning.
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