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Discuss the differences between rule-based and learning-based systems.
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Answer / Sharad Kumar
Rule-Based Systems (RBS) use a set of explicit, predefined rules to make decisions. They are often easy to understand and debug but can struggle with ambiguity or complexity. Learning-Based Systems (LBS), on the other hand, learn patterns from data without being explicitly programmed. LBS can handle complexity and adapt to new data, but can be opaque and require large amounts of data.
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